---
_id: '10216'
author:
- first_name: Ammar
full_name: Shaker, Ammar
last_name: Shaker
- first_name: W.
full_name: Heldt, W.
last_name: Heldt
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Shaker A, Heldt W, Hüllermeier E. Learning TSK Fuzzy Rules from Data Streams.
In: Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge
Discovery in Databases, Skopje, Macedonia. ; 2017.'
apa: Shaker, A., Heldt, W., & Hüllermeier, E. (2017). Learning TSK Fuzzy Rules
from Data Streams. In Proceedings ECML/PKDD, European Conference on Machine
Learning and Knowledge Discovery in Databases, Skopje, Macedonia.
bibtex: '@inproceedings{Shaker_Heldt_Hüllermeier_2017, title={Learning TSK Fuzzy
Rules from Data Streams}, booktitle={Proceedings ECML/PKDD, European Conference
on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia},
author={Shaker, Ammar and Heldt, W. and Hüllermeier, Eyke}, year={2017} }'
chicago: Shaker, Ammar, W. Heldt, and Eyke Hüllermeier. “Learning TSK Fuzzy Rules
from Data Streams.” In Proceedings ECML/PKDD, European Conference on Machine
Learning and Knowledge Discovery in Databases, Skopje, Macedonia, 2017.
ieee: A. Shaker, W. Heldt, and E. Hüllermeier, “Learning TSK Fuzzy Rules from Data
Streams,” in Proceedings ECML/PKDD, European Conference on Machine Learning
and Knowledge Discovery in Databases, Skopje, Macedonia, 2017.
mla: Shaker, Ammar, et al. “Learning TSK Fuzzy Rules from Data Streams.” Proceedings
ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in
Databases, Skopje, Macedonia, 2017.
short: 'A. Shaker, W. Heldt, E. Hüllermeier, in: Proceedings ECML/PKDD, European
Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia,
2017.'
date_created: 2019-06-07T16:00:10Z
date_updated: 2022-01-06T06:50:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
publication: Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge
Discovery in Databases, Skopje, Macedonia
status: public
title: Learning TSK Fuzzy Rules from Data Streams
type: conference
user_id: '49109'
year: '2017'
...
---
_id: '10267'
author:
- first_name: M.
full_name: Bräuning, M.
last_name: Bräuning
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: T.
full_name: Keller, T.
last_name: Keller
- first_name: M.
full_name: Glaum, M.
last_name: Glaum
citation:
ama: Bräuning M, Hüllermeier E, Keller T, Glaum M. Lexicographic preferences for
predictive modeling of human decision making. A new machine learning method with
an application in accounting. European Journal of Operational Research.
2017;258(1):295-306.
apa: Bräuning, M., Hüllermeier, E., Keller, T., & Glaum, M. (2017). Lexicographic
preferences for predictive modeling of human decision making. A new machine learning
method with an application in accounting. European Journal of Operational
Research, 258(1), 295–306.
bibtex: '@article{Bräuning_Hüllermeier_Keller_Glaum_2017, title={Lexicographic preferences
for predictive modeling of human decision making. A new machine learning method
with an application in accounting}, volume={258}, number={1}, journal={European
Journal of Operational Research}, author={Bräuning, M. and Hüllermeier, Eyke and
Keller, T. and Glaum, M.}, year={2017}, pages={295–306} }'
chicago: 'Bräuning, M., Eyke Hüllermeier, T. Keller, and M. Glaum. “Lexicographic
Preferences for Predictive Modeling of Human Decision Making. A New Machine Learning
Method with an Application in Accounting.” European Journal of Operational
Research 258, no. 1 (2017): 295–306.'
ieee: M. Bräuning, E. Hüllermeier, T. Keller, and M. Glaum, “Lexicographic preferences
for predictive modeling of human decision making. A new machine learning method
with an application in accounting,” European Journal of Operational Research,
vol. 258, no. 1, pp. 295–306, 2017.
mla: Bräuning, M., et al. “Lexicographic Preferences for Predictive Modeling of
Human Decision Making. A New Machine Learning Method with an Application in Accounting.”
European Journal of Operational Research, vol. 258, no. 1, 2017, pp. 295–306.
short: M. Bräuning, E. Hüllermeier, T. Keller, M. Glaum, European Journal of Operational
Research 258 (2017) 295–306.
date_created: 2019-06-18T15:43:40Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 258'
issue: '1'
language:
- iso: eng
page: 295-306
publication: European Journal of Operational Research
status: public
title: Lexicographic preferences for predictive modeling of human decision making.
A new machine learning method with an application in accounting
type: journal_article
user_id: '49109'
volume: 258
year: '2017'
...
---
_id: '10268'
author:
- first_name: M.-C.
full_name: Platenius, M.-C.
last_name: Platenius
- first_name: Ammar
full_name: Shaker, Ammar
last_name: Shaker
- first_name: M.
full_name: Becker, M.
last_name: Becker
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: W.
full_name: Schäfer, W.
last_name: Schäfer
citation:
ama: Platenius M-C, Shaker A, Becker M, Hüllermeier E, Schäfer W. Imprecise Matching
of Requirements Specifications for Software Services Using Fuzzy Logic. IEEE
Transactions on Software Engineering. 2017;43(8):739-759.
apa: Platenius, M.-C., Shaker, A., Becker, M., Hüllermeier, E., & Schäfer, W.
(2017). Imprecise Matching of Requirements Specifications for Software Services
Using Fuzzy Logic. IEEE Transactions on Software Engineering, 43(8),
739–759.
bibtex: '@article{Platenius_Shaker_Becker_Hüllermeier_Schäfer_2017, title={Imprecise
Matching of Requirements Specifications for Software Services Using Fuzzy Logic},
volume={43}, number={8}, journal={IEEE Transactions on Software Engineering},
author={Platenius, M.-C. and Shaker, Ammar and Becker, M. and Hüllermeier, Eyke
and Schäfer, W.}, year={2017}, pages={739–759} }'
chicago: 'Platenius, M.-C., Ammar Shaker, M. Becker, Eyke Hüllermeier, and W. Schäfer.
“Imprecise Matching of Requirements Specifications for Software Services Using
Fuzzy Logic.” IEEE Transactions on Software Engineering 43, no. 8 (2017):
739–59.'
ieee: M.-C. Platenius, A. Shaker, M. Becker, E. Hüllermeier, and W. Schäfer, “Imprecise
Matching of Requirements Specifications for Software Services Using Fuzzy Logic,”
IEEE Transactions on Software Engineering, vol. 43, no. 8, pp. 739–759,
2017.
mla: Platenius, M. C., et al. “Imprecise Matching of Requirements Specifications
for Software Services Using Fuzzy Logic.” IEEE Transactions on Software Engineering,
vol. 43, no. 8, 2017, pp. 739–59.
short: M.-C. Platenius, A. Shaker, M. Becker, E. Hüllermeier, W. Schäfer, IEEE Transactions
on Software Engineering 43 (2017) 739–759.
date_created: 2019-06-18T15:47:33Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 43'
issue: '8'
language:
- iso: eng
page: 739-759
publication: IEEE Transactions on Software Engineering
status: public
title: Imprecise Matching of Requirements Specifications for Software Services Using
Fuzzy Logic
type: journal_article
user_id: '49109'
volume: 43
year: '2017'
...
---
_id: '10269'
article_number: 'abs/1712.00646 '
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Hüllermeier E. From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based
Systems: A Critical Reflection. The Computing Research Repository (CoRR).
2017.'
apa: 'Hüllermeier, E. (2017). From Knowledge-based to Data-driven Modeling of Fuzzy
Rule-based Systems: A Critical Reflection. The Computing Research Repository
(CoRR).'
bibtex: '@article{Hüllermeier_2017, title={From Knowledge-based to Data-driven Modeling
of Fuzzy Rule-based Systems: A Critical Reflection}, number={abs/1712.00646},
journal={The Computing Research Repository (CoRR)}, author={Hüllermeier, Eyke},
year={2017} }'
chicago: 'Hüllermeier, Eyke. “From Knowledge-Based to Data-Driven Modeling of Fuzzy
Rule-Based Systems: A Critical Reflection.” The Computing Research Repository
(CoRR), 2017.'
ieee: 'E. Hüllermeier, “From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based
Systems: A Critical Reflection,” The Computing Research Repository (CoRR),
2017.'
mla: 'Hüllermeier, Eyke. “From Knowledge-Based to Data-Driven Modeling of Fuzzy
Rule-Based Systems: A Critical Reflection.” The Computing Research Repository
(CoRR), abs/1712.00646, 2017.'
short: E. Hüllermeier, The Computing Research Repository (CoRR) (2017).
date_created: 2019-06-18T15:53:28Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
publication: The Computing Research Repository (CoRR)
status: public
title: 'From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based Systems:
A Critical Reflection'
type: journal_article
user_id: '49109'
year: '2017'
...
---
_id: '5829'
abstract:
- lang: eng
text: Websites increasingly embed semantic data for search engine optimization.
The most common ontology for semantic data, schema.org, is supported by all major
search engines and describes over 500 data types, including calendar events, recipes,
products, and TV shows. As of today, users wishing to pass this data to their
favorite applications, e.g., their calendars, cookbooks, price comparison applications
or even smart devices such as TV receivers, rely on cumbersome and error-prone
workarounds such as reentering the data or a series of copy and paste operations.
In this paper, we present Semantic Data Mediator (SDM), an approach that allows
the easy transfer of semantic data to a multitude of services, ranging from web
services to applications installed on different devices. SDM extracts semantic
data from the currently displayed web page on the client-side, offers suitable
services to the user, and by the press of a button, forwards this data to the
desired service while doing all the necessary data conversion and service interface
adaptation in between. To realize this, we built a reusable repository of service
descriptions, data converters, and service adapters, which can be extended by
the crowd. Our approach for linking services to websites relies solely on semantic
data and does not require any additional support by either website or service
developers. We have fully implemented our approach and present a real-world case
study demonstrating its feasibility and usefulness.
author:
- first_name: Dennis
full_name: Wolters, Dennis
id: '11308'
last_name: Wolters
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Jonas
full_name: Kirchhoff, Jonas
id: '39928'
last_name: Kirchhoff
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
citation:
ama: 'Wolters D, Heindorf S, Kirchhoff J, Engels G. Linking Services to Websites
by Leveraging Semantic Data. In: Altintas I, Chen S, eds. 2017 IEEE International
Conference on Web Services (ICWS). IEEE; 2017. doi:10.1109/icws.2017.80'
apa: Wolters, D., Heindorf, S., Kirchhoff, J., & Engels, G. (2017). Linking
Services to Websites by Leveraging Semantic Data. In I. Altintas & S. Chen
(Eds.), 2017 IEEE International Conference on Web Services (ICWS). IEEE.
https://doi.org/10.1109/icws.2017.80
bibtex: '@inproceedings{Wolters_Heindorf_Kirchhoff_Engels_2017, title={Linking Services
to Websites by Leveraging Semantic Data}, DOI={10.1109/icws.2017.80},
booktitle={2017 IEEE International Conference on Web Services (ICWS)}, publisher={IEEE},
author={Wolters, Dennis and Heindorf, Stefan and Kirchhoff, Jonas and Engels,
Gregor}, editor={Altintas, Ilkay and Chen, Shiping}, year={2017} }'
chicago: Wolters, Dennis, Stefan Heindorf, Jonas Kirchhoff, and Gregor Engels. “Linking
Services to Websites by Leveraging Semantic Data.” In 2017 IEEE International
Conference on Web Services (ICWS), edited by Ilkay Altintas and Shiping Chen.
IEEE, 2017. https://doi.org/10.1109/icws.2017.80.
ieee: 'D. Wolters, S. Heindorf, J. Kirchhoff, and G. Engels, “Linking Services to
Websites by Leveraging Semantic Data,” in 2017 IEEE International Conference
on Web Services (ICWS), 2017, doi: 10.1109/icws.2017.80.'
mla: Wolters, Dennis, et al. “Linking Services to Websites by Leveraging Semantic
Data.” 2017 IEEE International Conference on Web Services (ICWS), edited
by Ilkay Altintas and Shiping Chen, IEEE, 2017, doi:10.1109/icws.2017.80.
short: 'D. Wolters, S. Heindorf, J. Kirchhoff, G. Engels, in: I. Altintas, S. Chen
(Eds.), 2017 IEEE International Conference on Web Services (ICWS), IEEE, 2017.'
date_created: 2018-11-26T11:49:31Z
date_updated: 2022-10-15T20:01:55Z
department:
- _id: '66'
doi: 10.1109/icws.2017.80
editor:
- first_name: Ilkay
full_name: Altintas, Ilkay
last_name: Altintas
- first_name: Shiping
full_name: Chen, Shiping
last_name: Chen
keyword:
- Services
- Websites
- Semantic Data
- schema.org
- Data Conversion
- Interface Adaptation
- Mediation
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://cs.uni-paderborn.de/fileadmin/informatik/fg/dbis/Publikationen/2017/wolters2017_ICWS.pdf
oa: '1'
publication: 2017 IEEE International Conference on Web Services (ICWS)
publication_identifier:
isbn:
- '9781538607527'
publication_status: published
publisher: IEEE
status: public
title: Linking Services to Websites by Leveraging Semantic Data
type: conference
user_id: '11871'
year: '2017'
...
---
_id: '6722'
abstract:
- lang: eng
text: "We report on the Wikidata vandalism detection task at the WSDM Cup 2017.
The\r\ntask received five submissions for which this paper describes their evaluation\r\nand
a comparison to state of the art baselines. Unlike previous work, we recast\r\nWikidata
vandalism detection as an online learning problem, requiring\r\nparticipant software
to predict vandalism in near real-time. The\r\nbest-performing approach achieves
a ROC-AUC of 0.947 at a PR-AUC of 0.458. In\r\nparticular, this task was organized
as a software submission task: to maximize\r\nreproducibility as well as to foster
future research and development on this\r\ntask, the participants were asked to
submit their working software to the TIRA\r\nexperimentation platform along with
the source code for open source release."
author:
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Heindorf S, Potthast M, Engels G, Stein B. Overview of the Wikidata Vandalism
Detection Task at WSDM Cup 2017. In: WSDM Cup 2017 Notebook Papers. ; 2017.'
apa: Heindorf, S., Potthast, M., Engels, G., & Stein, B. (2017). Overview of
the Wikidata Vandalism Detection Task at WSDM Cup 2017. WSDM Cup 2017 Notebook
Papers.
bibtex: '@inproceedings{Heindorf_Potthast_Engels_Stein_2017, title={Overview of
the Wikidata Vandalism Detection Task at WSDM Cup 2017}, booktitle={WSDM Cup 2017
Notebook Papers}, author={Heindorf, Stefan and Potthast, Martin and Engels, Gregor
and Stein, Benno}, year={2017} }'
chicago: Heindorf, Stefan, Martin Potthast, Gregor Engels, and Benno Stein. “Overview
of the Wikidata Vandalism Detection Task at WSDM Cup 2017.” In WSDM Cup 2017
Notebook Papers, 2017.
ieee: S. Heindorf, M. Potthast, G. Engels, and B. Stein, “Overview of the Wikidata
Vandalism Detection Task at WSDM Cup 2017,” 2017.
mla: Heindorf, Stefan, et al. “Overview of the Wikidata Vandalism Detection Task
at WSDM Cup 2017.” WSDM Cup 2017 Notebook Papers, 2017.
short: 'S. Heindorf, M. Potthast, G. Engels, B. Stein, in: WSDM Cup 2017 Notebook
Papers, 2017.'
date_created: 2019-01-15T08:57:40Z
date_updated: 2022-10-17T11:36:12Z
department:
- _id: '66'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1712.05956
oa: '1'
publication: WSDM Cup 2017 Notebook Papers
status: public
title: Overview of the Wikidata Vandalism Detection Task at WSDM Cup 2017
type: conference
user_id: '11871'
year: '2017'
...
---
_id: '33732'
abstract:
- lang: eng
text: "The WSDM Cup 2017 was a data mining challenge held in conjunction with the\r\n10th
International Conference on Web Search and Data Mining (WSDM). It\r\naddressed
key challenges of knowledge bases today: quality assurance and entity\r\nsearch.
For quality assurance, we tackle the task of vandalism detection, based\r\non
a dataset of more than 82 million user-contributed revisions of the Wikidata\r\nknowledge
base, all of which annotated with regard to whether or not they are\r\nvandalism.
For entity search, we tackle the task of triple scoring, using a\r\ndataset that
comprises relevance scores for triples from type-like relations\r\nincluding occupation
and country of citizenship, based on about 10,000 human\r\nrelevance judgements.
For reproducibility sake, participants were asked to\r\nsubmit their software
on TIRA, a cloud-based evaluation platform, and they were\r\nincentivized to share
their approaches open source."
author:
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Hannah
full_name: Bast, Hannah
last_name: Bast
citation:
ama: 'Potthast M, Heindorf S, Bast H. Proceedings of the WSDM Cup 2017: Vandalism
Detection and Triple Scoring. arXiv:171209528. Published online 2017.'
apa: 'Potthast, M., Heindorf, S., & Bast, H. (2017). Proceedings of the WSDM
Cup 2017: Vandalism Detection and Triple Scoring. In arXiv:1712.09528.'
bibtex: '@article{Potthast_Heindorf_Bast_2017, title={Proceedings of the WSDM Cup
2017: Vandalism Detection and Triple Scoring}, journal={arXiv:1712.09528}, author={Potthast,
Martin and Heindorf, Stefan and Bast, Hannah}, year={2017} }'
chicago: 'Potthast, Martin, Stefan Heindorf, and Hannah Bast. “Proceedings of the
WSDM Cup 2017: Vandalism Detection and Triple Scoring.” ArXiv:1712.09528,
2017.'
ieee: 'M. Potthast, S. Heindorf, and H. Bast, “Proceedings of the WSDM Cup 2017:
Vandalism Detection and Triple Scoring,” arXiv:1712.09528. 2017.'
mla: 'Potthast, Martin, et al. “Proceedings of the WSDM Cup 2017: Vandalism Detection
and Triple Scoring.” ArXiv:1712.09528, 2017.'
short: M. Potthast, S. Heindorf, H. Bast, ArXiv:1712.09528 (2017).
date_created: 2022-10-15T19:14:01Z
date_updated: 2022-10-17T11:21:00Z
department:
- _id: '66'
external_id:
arxiv:
- '1712.09528'
language:
- iso: eng
publication: arXiv:1712.09528
status: public
title: 'Proceedings of the WSDM Cup 2017: Vandalism Detection and Triple Scoring'
type: preprint
user_id: '11871'
year: '2017'
...
---
_id: '48305'
author:
- first_name: Henning
full_name: Wachsmuth, Henning
last_name: Wachsmuth
- first_name: Nona
full_name: Naderi, Nona
last_name: Naderi
- first_name: Ivan
full_name: Habernal, Ivan
id: '101881'
last_name: Habernal
- first_name: Yufang
full_name: Hou, Yufang
last_name: Hou
- first_name: Graeme
full_name: Hirst, Graeme
last_name: Hirst
- first_name: Iryna
full_name: Gurevych, Iryna
last_name: Gurevych
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Wachsmuth H, Naderi N, Habernal I, et al. Argumentation Quality Assessment:
Theory vs. Practice. In: Proceedings of the 55th Annual Meeting of the Association
for Computational Linguistics (Volume 2: Short Papers). Association
for Computational Linguistics; 2017. doi:10.18653/v1/p17-2039'
apa: 'Wachsmuth, H., Naderi, N., Habernal, I., Hou, Y., Hirst, G., Gurevych, I.,
& Stein, B. (2017). Argumentation Quality Assessment: Theory vs. Practice.
Proceedings of the 55th Annual Meeting of the Association for Computational
Linguistics (Volume 2: Short Papers). https://doi.org/10.18653/v1/p17-2039'
bibtex: '@inproceedings{Wachsmuth_Naderi_Habernal_Hou_Hirst_Gurevych_Stein_2017,
title={Argumentation Quality Assessment: Theory vs. Practice}, DOI={10.18653/v1/p17-2039},
booktitle={Proceedings of the 55th Annual Meeting of the Association for
Computational Linguistics (Volume 2: Short Papers)}, publisher={Association
for Computational Linguistics}, author={Wachsmuth, Henning and Naderi, Nona and
Habernal, Ivan and Hou, Yufang and Hirst, Graeme and Gurevych, Iryna and Stein,
Benno}, year={2017} }'
chicago: 'Wachsmuth, Henning, Nona Naderi, Ivan Habernal, Yufang Hou, Graeme Hirst,
Iryna Gurevych, and Benno Stein. “Argumentation Quality Assessment: Theory vs.
Practice.” In Proceedings of the 55th Annual Meeting of the Association for
Computational Linguistics (Volume 2: Short Papers). Association for
Computational Linguistics, 2017. https://doi.org/10.18653/v1/p17-2039.'
ieee: 'H. Wachsmuth et al., “Argumentation Quality Assessment: Theory vs.
Practice,” 2017, doi: 10.18653/v1/p17-2039.'
mla: 'Wachsmuth, Henning, et al. “Argumentation Quality Assessment: Theory vs. Practice.”
Proceedings of the 55th Annual Meeting of the Association for Computational
Linguistics (Volume 2: Short Papers), Association for Computational Linguistics,
2017, doi:10.18653/v1/p17-2039.'
short: 'H. Wachsmuth, N. Naderi, I. Habernal, Y. Hou, G. Hirst, I. Gurevych, B.
Stein, in: Proceedings of the 55th Annual Meeting of the Association for
Computational Linguistics (Volume 2: Short Papers), Association for Computational
Linguistics, 2017.'
date_created: 2023-10-19T08:30:11Z
date_updated: 2023-10-19T12:08:34Z
department:
- _id: '34'
- _id: '820'
doi: 10.18653/v1/p17-2039
language:
- iso: eng
publication: 'Proceedings of the 55th Annual Meeting of the Association for Computational
Linguistics (Volume 2: Short Papers)'
publication_status: published
publisher: Association for Computational Linguistics
status: public
title: 'Argumentation Quality Assessment: Theory vs. Practice'
type: conference
user_id: '15504'
year: '2017'
...
---
_id: '46355'
abstract:
- lang: eng
text: "In this chapter we present the adaptions of the recently proposed Directed
Search method to the context of unconstrained parameter dependent multi-objective
optimization problems (PMOPs). The new method, called \U0001D706-DS, is capable
of performing a movement both toward and along the solution set of a given differentiable
PMOP. We first discuss the basic variants of the method that use gradient information
and describe subsequently modifications that allow for a gradient free realization.
Finally, we show that \U0001D706-DS can be used to understand the behavior of
stochastic local search within PMOPs to a certain extent which might be interesting
for the development of future local search engines, or evolutionary strategies,
for the treatment of such problems. We underline all our statements with several
numerical results indicating the strength of the novel approach."
author:
- first_name: Sosa Hernández V
full_name: Adrián, Sosa Hernández V
last_name: Adrián
- first_name: A
full_name: Lara, A
last_name: Lara
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: G
full_name: Rudolph, G
last_name: Rudolph
- first_name: O
full_name: Schütze, O
last_name: Schütze
citation:
ama: 'Adrián SHV, Lara A, Trautmann H, Rudolph G, Schütze O. The Directed Search
Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems.
In: Schütze O, Trujillo L, Legrand P, Maldonado Y, eds. NEO 15. Springer
International Publishing; 2017:281–330. doi:10.1007/978-3-319-44003-3_12'
apa: Adrián, S. H. V., Lara, A., Trautmann, H., Rudolph, G., & Schütze, O. (2017).
The Directed Search Method for Unconstrained Parameter Dependent Multi-objective
Optimization Problems. In O. Schütze, L. Trujillo, P. Legrand, & Y. Maldonado
(Eds.), NEO 15 (pp. 281–330). Springer International Publishing. https://doi.org/10.1007/978-3-319-44003-3_12
bibtex: '@inbook{Adrián_Lara_Trautmann_Rudolph_Schütze_2017, place={Cham}, title={The
Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization
Problems}, DOI={10.1007/978-3-319-44003-3_12},
booktitle={NEO 15}, publisher={Springer International Publishing}, author={Adrián,
Sosa Hernández V and Lara, A and Trautmann, Heike and Rudolph, G and Schütze,
O}, editor={Schütze, O and Trujillo, L and Legrand, P and Maldonado, Y}, year={2017},
pages={281–330} }'
chicago: 'Adrián, Sosa Hernández V, A Lara, Heike Trautmann, G Rudolph, and O Schütze.
“The Directed Search Method for Unconstrained Parameter Dependent Multi-Objective
Optimization Problems.” In NEO 15, edited by O Schütze, L Trujillo, P Legrand,
and Y Maldonado, 281–330. Cham: Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-44003-3_12.'
ieee: 'S. H. V. Adrián, A. Lara, H. Trautmann, G. Rudolph, and O. Schütze, “The
Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization
Problems,” in NEO 15, O. Schütze, L. Trujillo, P. Legrand, and Y. Maldonado,
Eds. Cham: Springer International Publishing, 2017, pp. 281–330.'
mla: Adrián, Sosa Hernández V., et al. “The Directed Search Method for Unconstrained
Parameter Dependent Multi-Objective Optimization Problems.” NEO 15, edited
by O Schütze et al., Springer International Publishing, 2017, pp. 281–330, doi:10.1007/978-3-319-44003-3_12.
short: 'S.H.V. Adrián, A. Lara, H. Trautmann, G. Rudolph, O. Schütze, in: O. Schütze,
L. Trujillo, P. Legrand, Y. Maldonado (Eds.), NEO 15, Springer International Publishing,
Cham, 2017, pp. 281–330.'
date_created: 2023-08-04T15:01:27Z
date_updated: 2023-10-16T13:34:49Z
department:
- _id: '34'
- _id: '819'
doi: 10.1007/978-3-319-44003-3_12
editor:
- first_name: O
full_name: Schütze, O
last_name: Schütze
- first_name: L
full_name: Trujillo, L
last_name: Trujillo
- first_name: P
full_name: Legrand, P
last_name: Legrand
- first_name: Y
full_name: Maldonado, Y
last_name: Maldonado
language:
- iso: eng
page: 281–330
place: Cham
publication: NEO 15
publication_identifier:
isbn:
- 978-3-319-44003-3
publisher: Springer International Publishing
status: public
title: The Directed Search Method for Unconstrained Parameter Dependent Multi-objective
Optimization Problems
type: book_chapter
user_id: '15504'
year: '2017'
...
---
_id: '46360'
abstract:
- lang: eng
text: Nowadays customers expect a seamless interaction with companies throughout
all available communication channels. However, many companies rely on different
software solutions to handle each channel, which leads to heterogeneous IT infrastructures
and isolated data sources. Omni-Channel CRM is a holistic approach towards a unified
view on the customer across all channels. This paper introduces three case studies
which demonstrate challenges of omni-channel CRM and the value it can provide.
The first case study shows how to integrate and visualise data from different
sources which can support operational and strategic decision. In the second case
study, a social media analysis approach is discussed which provides benefits by
offering reports of service performance across channels. The third case study
applies customer segmentation to an online fashion retailer in order to identify
customer profiles.
author:
- first_name: Matthias
full_name: Carnein, Matthias
last_name: Carnein
- first_name: Markus
full_name: Heuchert, Markus
last_name: Heuchert
- first_name: Leschek
full_name: Homann, Leschek
last_name: Homann
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: Gottfried
full_name: Vossen, Gottfried
last_name: Vossen
- first_name: Jörg
full_name: Becker, Jörg
last_name: Becker
- first_name: Karsten
full_name: Kraume, Karsten
last_name: Kraume
citation:
ama: 'Carnein M, Heuchert M, Homann L, et al. Towards Efficient and Informative
Omni-Channel Customer Relationship Management. In: de Cesare S, Ulrich F, eds.
Proceedings of the 36$^th$ International Conference on Conceptual Modeling
(ER’17). Vol 10651. Lecture Notes in Computer Science. Springer International
Publishing; 2017:69–78. doi:10.1007/978-3-319-70625-2_7'
apa: Carnein, M., Heuchert, M., Homann, L., Trautmann, H., Vossen, G., Becker, J.,
& Kraume, K. (2017). Towards Efficient and Informative Omni-Channel Customer
Relationship Management. In S. de Cesare & F. Ulrich (Eds.), Proceedings
of the 36$^th$ International Conference on Conceptual Modeling (ER’17) (Vol.
10651, pp. 69–78). Springer International Publishing. https://doi.org/10.1007/978-3-319-70625-2_7
bibtex: '@inproceedings{Carnein_Heuchert_Homann_Trautmann_Vossen_Becker_Kraume_2017,
place={Valencia, Spain}, series={Lecture Notes in Computer Science}, title={Towards
Efficient and Informative Omni-Channel Customer Relationship Management}, volume={10651},
DOI={10.1007/978-3-319-70625-2_7},
booktitle={Proceedings of the 36$^th$ International Conference on Conceptual Modeling
(ER’17)}, publisher={Springer International Publishing}, author={Carnein, Matthias
and Heuchert, Markus and Homann, Leschek and Trautmann, Heike and Vossen, Gottfried
and Becker, Jörg and Kraume, Karsten}, editor={de Cesare, Sergio and Ulrich, Frank},
year={2017}, pages={69–78}, collection={Lecture Notes in Computer Science} }'
chicago: 'Carnein, Matthias, Markus Heuchert, Leschek Homann, Heike Trautmann, Gottfried
Vossen, Jörg Becker, and Karsten Kraume. “Towards Efficient and Informative Omni-Channel
Customer Relationship Management.” In Proceedings of the 36$^th$ International
Conference on Conceptual Modeling (ER’17), edited by Sergio de Cesare and
Frank Ulrich, 10651:69–78. Lecture Notes in Computer Science. Valencia, Spain:
Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-70625-2_7.'
ieee: 'M. Carnein et al., “Towards Efficient and Informative Omni-Channel
Customer Relationship Management,” in Proceedings of the 36$^th$ International
Conference on Conceptual Modeling (ER’17), 2017, vol. 10651, pp. 69–78, doi:
10.1007/978-3-319-70625-2_7.'
mla: Carnein, Matthias, et al. “Towards Efficient and Informative Omni-Channel Customer
Relationship Management.” Proceedings of the 36$^th$ International Conference
on Conceptual Modeling (ER’17), edited by Sergio de Cesare and Frank Ulrich,
vol. 10651, Springer International Publishing, 2017, pp. 69–78, doi:10.1007/978-3-319-70625-2_7.
short: 'M. Carnein, M. Heuchert, L. Homann, H. Trautmann, G. Vossen, J. Becker,
K. Kraume, in: S. de Cesare, F. Ulrich (Eds.), Proceedings of the 36$^th$ International
Conference on Conceptual Modeling (ER’17), Springer International Publishing,
Valencia, Spain, 2017, pp. 69–78.'
date_created: 2023-08-04T15:05:43Z
date_updated: 2023-10-16T13:36:40Z
department:
- _id: '34'
- _id: '819'
doi: 10.1007/978-3-319-70625-2_7
editor:
- first_name: Sergio
full_name: de Cesare, Sergio
last_name: de Cesare
- first_name: Frank
full_name: Ulrich, Frank
last_name: Ulrich
intvolume: ' 10651'
language:
- iso: eng
page: 69–78
place: Valencia, Spain
publication: Proceedings of the 36$^th$ International Conference on Conceptual Modeling
(ER’17)
publication_identifier:
isbn:
- 978-3-319-70625-2
publisher: Springer International Publishing
series_title: Lecture Notes in Computer Science
status: public
title: Towards Efficient and Informative Omni-Channel Customer Relationship Management
type: conference
user_id: '15504'
volume: 10651
year: '2017'
...
---
_id: '46361'
abstract:
- lang: eng
text: Until recently, customer service was exclusively provided over traditional
channels. Cus- tomers could write an email or call a service center if they had
questions or problems with a product or service. In recent times, this has changed
dramatically as companies explore new channels to offer customer service. With
the increasing popularity of social media, more companies thrive to provide customer
service also over Facebook and Twitter. Companies aim to provide a better customer
ex- perience by offering more convenient channels to contact a company. In addition,
this unburdens traditional channels which are costly to maintain. This paper empirically
evaluates the performance of customer service in social media by analysing a multitude
of companies in the airline industry. We have collected several million customer
service requests from Twitter and Facebook and auto- matically analyzed how efficient
the service strategies of the respective companies are in terms of response rate
and time.
author:
- first_name: Matthias
full_name: Carnein, Matthias
last_name: Carnein
- first_name: Leschek
full_name: Homann, Leschek
last_name: Homann
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: Gottfried
full_name: Vossen, Gottfried
last_name: Vossen
- first_name: Karsten
full_name: Kraume, Karsten
last_name: Kraume
citation:
ama: 'Carnein M, Homann L, Trautmann H, Vossen G, Kraume K. Customer Service in
Social Media — An Empirical Study of the Airline Industry. In: Ritter N, Schwarz
H, Klettke M, Thor A, Kopp O, Bernhard MW, eds. Proceedings of the 17$^th$
Conference on Database Systems for Business, Technology, and Web (BTW ’17).
Vol P-266. Lecture Notes in Informatics (LNI). Gesellschaft für Informatik; 2017:33–40.'
apa: 'Carnein, M., Homann, L., Trautmann, H., Vossen, G., & Kraume, K. (2017).
Customer Service in Social Media — An Empirical Study of the Airline Industry.
In N. Ritter, H. Schwarz, M. Klettke, A. Thor, O. Kopp, & M. W. Bernhard (Eds.),
Proceedings of the 17$^th$ Conference on Database Systems for Business, Technology,
and Web (BTW ’17): Vol. P-266 (pp. 33–40). Gesellschaft für Informatik.'
bibtex: '@inproceedings{Carnein_Homann_Trautmann_Vossen_Kraume_2017, place={Stuttgart,
Germany}, series={Lecture Notes in Informatics (LNI)}, title={Customer Service
in Social Media — An Empirical Study of the Airline Industry}, volume={P-266},
booktitle={Proceedings of the 17$^th$ Conference on Database Systems for Business,
Technology, and Web (BTW ’17)}, publisher={Gesellschaft für Informatik}, author={Carnein,
Matthias and Homann, Leschek and Trautmann, Heike and Vossen, Gottfried and Kraume,
Karsten}, editor={Ritter, Norbert and Schwarz, Holger and Klettke, Meike and Thor,
Andreas and Kopp, Oliver and Bernhard, Matthias Wieland}, year={2017}, pages={33–40},
collection={Lecture Notes in Informatics (LNI)} }'
chicago: 'Carnein, Matthias, Leschek Homann, Heike Trautmann, Gottfried Vossen,
and Karsten Kraume. “Customer Service in Social Media — An Empirical Study of
the Airline Industry.” In Proceedings of the 17$^th$ Conference on Database
Systems for Business, Technology, and Web (BTW ’17), edited by Norbert Ritter,
Holger Schwarz, Meike Klettke, Andreas Thor, Oliver Kopp, and Matthias Wieland
Bernhard, P-266:33–40. Lecture Notes in Informatics (LNI). Stuttgart, Germany:
Gesellschaft für Informatik, 2017.'
ieee: M. Carnein, L. Homann, H. Trautmann, G. Vossen, and K. Kraume, “Customer Service
in Social Media — An Empirical Study of the Airline Industry,” in Proceedings
of the 17$^th$ Conference on Database Systems for Business, Technology, and Web
(BTW ’17), 2017, vol. P-266, pp. 33–40.
mla: Carnein, Matthias, et al. “Customer Service in Social Media — An Empirical
Study of the Airline Industry.” Proceedings of the 17$^th$ Conference on Database
Systems for Business, Technology, and Web (BTW ’17), edited by Norbert Ritter
et al., vol. P-266, Gesellschaft für Informatik, 2017, pp. 33–40.
short: 'M. Carnein, L. Homann, H. Trautmann, G. Vossen, K. Kraume, in: N. Ritter,
H. Schwarz, M. Klettke, A. Thor, O. Kopp, M.W. Bernhard (Eds.), Proceedings of
the 17$^th$ Conference on Database Systems for Business, Technology, and Web (BTW
’17), Gesellschaft für Informatik, Stuttgart, Germany, 2017, pp. 33–40.'
date_created: 2023-08-04T15:06:41Z
date_updated: 2023-10-16T13:36:58Z
department:
- _id: '34'
- _id: '819'
editor:
- first_name: Norbert
full_name: Ritter, Norbert
last_name: Ritter
- first_name: Holger
full_name: Schwarz, Holger
last_name: Schwarz
- first_name: Meike
full_name: Klettke, Meike
last_name: Klettke
- first_name: Andreas
full_name: Thor, Andreas
last_name: Thor
- first_name: Oliver
full_name: Kopp, Oliver
last_name: Kopp
- first_name: Matthias Wieland
full_name: Bernhard, Matthias Wieland
last_name: Bernhard
language:
- iso: eng
page: 33–40
place: Stuttgart, Germany
publication: Proceedings of the 17$^th$ Conference on Database Systems for Business,
Technology, and Web (BTW ’17)
publication_identifier:
issn:
- 978-3-88579-660-2
publisher: Gesellschaft für Informatik
series_title: Lecture Notes in Informatics (LNI)
status: public
title: Customer Service in Social Media — An Empirical Study of the Airline Industry
type: conference
user_id: '15504'
volume: P-266
year: '2017'
...
---
_id: '46356'
abstract:
- lang: eng
text: Integrating user preferences in Evolutionary Multiobjective Optimization (EMO)
is currently a prevalent research topic. There is a large variety of preference
handling methods (originated from Multicriteria decision making, MCDM) and EMO
methods, which have been combined in various ways. This paper proposes a Web Ontology
Language (OWL) ontology to model and systematize the knowledge of preference-based
multiobjective evolutionary algorithms (PMOEAs). Detailed procedure is given on
how to build and use the ontology with the help of Protégé. Different use-cases,
including training new learners, querying and reasoning are exemplified and show
remarkable benefit for both EMO and MCDM communities.
author:
- first_name: L
full_name: Li, L
last_name: Li
- first_name: I
full_name: Yevseyeva, I
last_name: Yevseyeva
- first_name: V
full_name: Basto-Fernandes, V
last_name: Basto-Fernandes
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: N
full_name: Jing, N
last_name: Jing
- first_name: M
full_name: Emmerich, M
last_name: Emmerich
citation:
ama: 'Li L, Yevseyeva I, Basto-Fernandes V, Trautmann H, Jing N, Emmerich M. Building
and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms.
In: Trautmann H, Rudolph G, Klamroth K, et al., eds. Evolutionary Multi-Criterion
Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March
19-22, 2017, Proceedings. Springer International Publishing; 2017:406–421.
doi:10.1007/978-3-319-54157-0_28'
apa: 'Li, L., Yevseyeva, I., Basto-Fernandes, V., Trautmann, H., Jing, N., &
Emmerich, M. (2017). Building and Using an Ontology of Preference-Based Multiobjective
Evolutionary Algorithms. In H. Trautmann, G. Rudolph, K. Klamroth, O. Schütze,
M. Wiecek, Y. Jin, & C. Grimme (Eds.), Evolutionary Multi-Criterion Optimization:
9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017,
Proceedings (pp. 406–421). Springer International Publishing. https://doi.org/10.1007/978-3-319-54157-0_28'
bibtex: '@inbook{Li_Yevseyeva_Basto-Fernandes_Trautmann_Jing_Emmerich_2017, place={Cham},
title={Building and Using an Ontology of Preference-Based Multiobjective Evolutionary
Algorithms}, DOI={10.1007/978-3-319-54157-0_28},
booktitle={Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference,
EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings}, publisher={Springer
International Publishing}, author={Li, L and Yevseyeva, I and Basto-Fernandes,
V and Trautmann, Heike and Jing, N and Emmerich, M}, editor={Trautmann, H and
Rudolph, G and Klamroth, K and Schütze, O and Wiecek, M and Jin, Y and Grimme,
C}, year={2017}, pages={406–421} }'
chicago: 'Li, L, I Yevseyeva, V Basto-Fernandes, Heike Trautmann, N Jing, and M
Emmerich. “Building and Using an Ontology of Preference-Based Multiobjective Evolutionary
Algorithms.” In Evolutionary Multi-Criterion Optimization: 9$^th$ International
Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, edited
by H Trautmann, G Rudolph, K Klamroth, O Schütze, M Wiecek, Y Jin, and C Grimme,
406–421. Cham: Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-54157-0_28.'
ieee: 'L. Li, I. Yevseyeva, V. Basto-Fernandes, H. Trautmann, N. Jing, and M. Emmerich,
“Building and Using an Ontology of Preference-Based Multiobjective Evolutionary
Algorithms,” in Evolutionary Multi-Criterion Optimization: 9$^th$ International
Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, H.
Trautmann, G. Rudolph, K. Klamroth, O. Schütze, M. Wiecek, Y. Jin, and C. Grimme,
Eds. Cham: Springer International Publishing, 2017, pp. 406–421.'
mla: 'Li, L., et al. “Building and Using an Ontology of Preference-Based Multiobjective
Evolutionary Algorithms.” Evolutionary Multi-Criterion Optimization: 9$^th$
International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings,
edited by H Trautmann et al., Springer International Publishing, 2017, pp. 406–421,
doi:10.1007/978-3-319-54157-0_28.'
short: 'L. Li, I. Yevseyeva, V. Basto-Fernandes, H. Trautmann, N. Jing, M. Emmerich,
in: H. Trautmann, G. Rudolph, K. Klamroth, O. Schütze, M. Wiecek, Y. Jin, C. Grimme
(Eds.), Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference,
EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, Springer International
Publishing, Cham, 2017, pp. 406–421.'
date_created: 2023-08-04T15:02:20Z
date_updated: 2023-10-16T13:35:17Z
department:
- _id: '34'
- _id: '819'
doi: 10.1007/978-3-319-54157-0_28
editor:
- first_name: H
full_name: Trautmann, H
last_name: Trautmann
- first_name: G
full_name: Rudolph, G
last_name: Rudolph
- first_name: K
full_name: Klamroth, K
last_name: Klamroth
- first_name: O
full_name: Schütze, O
last_name: Schütze
- first_name: M
full_name: Wiecek, M
last_name: Wiecek
- first_name: Y
full_name: Jin, Y
last_name: Jin
- first_name: C
full_name: Grimme, C
last_name: Grimme
language:
- iso: eng
page: 406–421
place: Cham
publication: 'Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference,
EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings'
publication_identifier:
isbn:
- 978-3-319-54157-0
publisher: Springer International Publishing
status: public
title: Building and Using an Ontology of Preference-Based Multiobjective Evolutionary
Algorithms
type: book_chapter
user_id: '15504'
year: '2017'
...
---
_id: '46357'
abstract:
- lang: eng
text: The liner shipping fleet repositioning problem (LSFRP) is a central optimization
problem within the container shipping industry. Several approaches exist for solving
this problem using exact and heuristic techniques, however all of them use a single
objective function for determining an optimal solution. We propose a multi-objective
approach based on a simulated annealing heuristic so that repositioning coordinators
can better balance profit making with cost-savings and environmental sustainability.
As the first multi-objective approach in the area of liner shipping routing, we
show that giving more options to decision makers need not be costly. Indeed, our
approach requires no extra runtime than a weighted objective heuristic and provides
a rich set of solutions along the Pareto front.
author:
- first_name: K
full_name: Tierney, K
last_name: Tierney
- first_name: J
full_name: Handali, J
last_name: Handali
- first_name: C
full_name: Grimme, C
last_name: Grimme
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Tierney K, Handali J, Grimme C, Trautmann H. Multi-objective Optimization
for Liner Shipping Fleet Repositioning. In: Trautmann H, Rudolph G, Klamroth K,
et al., eds. Evolutionary Multi-Criterion Optimization: 9$^th$ International
Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings. Springer
International Publishing; 2017:622–638. doi:10.1007/978-3-319-54157-0_42'
apa: 'Tierney, K., Handali, J., Grimme, C., & Trautmann, H. (2017). Multi-objective
Optimization for Liner Shipping Fleet Repositioning. In H. Trautmann, G. Rudolph,
K. Klamroth, O. Schütze, M. Wiecek, Y. Jin, & C. Grimme (Eds.), Evolutionary
Multi-Criterion Optimization: 9$^th$ International Conference, EMO 2017, Münster,
Germany, March 19-22, 2017, Proceedings (pp. 622–638). Springer International
Publishing. https://doi.org/10.1007/978-3-319-54157-0_42'
bibtex: '@inbook{Tierney_Handali_Grimme_Trautmann_2017, place={Cham}, title={Multi-objective
Optimization for Liner Shipping Fleet Repositioning}, DOI={10.1007/978-3-319-54157-0_42},
booktitle={Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference,
EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings}, publisher={Springer
International Publishing}, author={Tierney, K and Handali, J and Grimme, C and
Trautmann, Heike}, editor={Trautmann, H and Rudolph, G and Klamroth, K and Schütze,
O and Wiecek, M and Jin, Y and Grimme, C}, year={2017}, pages={622–638} }'
chicago: 'Tierney, K, J Handali, C Grimme, and Heike Trautmann. “Multi-Objective
Optimization for Liner Shipping Fleet Repositioning.” In Evolutionary Multi-Criterion
Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March
19-22, 2017, Proceedings, edited by H Trautmann, G Rudolph, K Klamroth, O
Schütze, M Wiecek, Y Jin, and C Grimme, 622–638. Cham: Springer International
Publishing, 2017. https://doi.org/10.1007/978-3-319-54157-0_42.'
ieee: 'K. Tierney, J. Handali, C. Grimme, and H. Trautmann, “Multi-objective Optimization
for Liner Shipping Fleet Repositioning,” in Evolutionary Multi-Criterion Optimization:
9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017,
Proceedings, H. Trautmann, G. Rudolph, K. Klamroth, O. Schütze, M. Wiecek,
Y. Jin, and C. Grimme, Eds. Cham: Springer International Publishing, 2017, pp.
622–638.'
mla: 'Tierney, K., et al. “Multi-Objective Optimization for Liner Shipping Fleet
Repositioning.” Evolutionary Multi-Criterion Optimization: 9$^th$ International
Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, edited
by H Trautmann et al., Springer International Publishing, 2017, pp. 622–638, doi:10.1007/978-3-319-54157-0_42.'
short: 'K. Tierney, J. Handali, C. Grimme, H. Trautmann, in: H. Trautmann, G. Rudolph,
K. Klamroth, O. Schütze, M. Wiecek, Y. Jin, C. Grimme (Eds.), Evolutionary Multi-Criterion
Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March
19-22, 2017, Proceedings, Springer International Publishing, Cham, 2017, pp. 622–638.'
date_created: 2023-08-04T15:03:17Z
date_updated: 2023-10-16T13:35:41Z
department:
- _id: '34'
- _id: '819'
doi: 10.1007/978-3-319-54157-0_42
editor:
- first_name: H
full_name: Trautmann, H
last_name: Trautmann
- first_name: G
full_name: Rudolph, G
last_name: Rudolph
- first_name: K
full_name: Klamroth, K
last_name: Klamroth
- first_name: O
full_name: Schütze, O
last_name: Schütze
- first_name: M
full_name: Wiecek, M
last_name: Wiecek
- first_name: Y
full_name: Jin, Y
last_name: Jin
- first_name: C
full_name: Grimme, C
last_name: Grimme
language:
- iso: eng
page: 622–638
place: Cham
publication: 'Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference,
EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings'
publication_identifier:
isbn:
- 978-3-319-54157-0
publisher: Springer International Publishing
status: public
title: Multi-objective Optimization for Liner Shipping Fleet Repositioning
type: book_chapter
user_id: '15504'
year: '2017'
...
---
_id: '46359'
abstract:
- lang: eng
text: This paper proposes a new stream clustering algorithm for text streams. The
algorithm combines concepts from stream clustering and text analysis in order
to incrementally maintain a number of text droplets that represent topics within
the stream. Our algorithm adapts to changes of topic over time and can handle
noise and outliers gracefully by decaying the importance of irrelevant clusters.
We demonstrate the performance of our approach by using more than one million
real-world texts from the video streaming platform Twitch.tv.
author:
- first_name: Matthias
full_name: Carnein, Matthias
last_name: Carnein
- first_name: Dennis
full_name: Assenmacher, Dennis
last_name: Assenmacher
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Carnein M, Assenmacher D, Trautmann H. Stream Clustering of Chat Messages
with Applications to Twitch Streams. In: de Cesare S, Ulrich F, eds. Proceedings
of the 36$^th$ International Conference on Conceptual Modeling (ER’17). Springer
International Publishing; 2017:79–88. doi:10.1007/978-3-319-70625-2_8'
apa: Carnein, M., Assenmacher, D., & Trautmann, H. (2017). Stream Clustering
of Chat Messages with Applications to Twitch Streams. In S. de Cesare & F.
Ulrich (Eds.), Proceedings of the 36$^th$ International Conference on Conceptual
Modeling (ER’17) (pp. 79–88). Springer International Publishing. https://doi.org/10.1007/978-3-319-70625-2_8
bibtex: '@inproceedings{Carnein_Assenmacher_Trautmann_2017, place={Valencia, Spain},
title={Stream Clustering of Chat Messages with Applications to Twitch Streams},
DOI={10.1007/978-3-319-70625-2_8},
booktitle={Proceedings of the 36$^th$ International Conference on Conceptual Modeling
(ER’17)}, publisher={Springer International Publishing}, author={Carnein, Matthias
and Assenmacher, Dennis and Trautmann, Heike}, editor={de Cesare, Sergio and Ulrich,
Frank}, year={2017}, pages={79–88} }'
chicago: 'Carnein, Matthias, Dennis Assenmacher, and Heike Trautmann. “Stream Clustering
of Chat Messages with Applications to Twitch Streams.” In Proceedings of the
36$^th$ International Conference on Conceptual Modeling (ER’17), edited by
Sergio de Cesare and Frank Ulrich, 79–88. Valencia, Spain: Springer International
Publishing, 2017. https://doi.org/10.1007/978-3-319-70625-2_8.'
ieee: 'M. Carnein, D. Assenmacher, and H. Trautmann, “Stream Clustering of Chat
Messages with Applications to Twitch Streams,” in Proceedings of the 36$^th$
International Conference on Conceptual Modeling (ER’17), 2017, pp. 79–88,
doi: 10.1007/978-3-319-70625-2_8.'
mla: Carnein, Matthias, et al. “Stream Clustering of Chat Messages with Applications
to Twitch Streams.” Proceedings of the 36$^th$ International Conference on
Conceptual Modeling (ER’17), edited by Sergio de Cesare and Frank Ulrich,
Springer International Publishing, 2017, pp. 79–88, doi:10.1007/978-3-319-70625-2_8.
short: 'M. Carnein, D. Assenmacher, H. Trautmann, in: S. de Cesare, F. Ulrich (Eds.),
Proceedings of the 36$^th$ International Conference on Conceptual Modeling (ER’17),
Springer International Publishing, Valencia, Spain, 2017, pp. 79–88.'
date_created: 2023-08-04T15:04:57Z
date_updated: 2023-10-16T13:36:23Z
department:
- _id: '34'
- _id: '819'
doi: 10.1007/978-3-319-70625-2_8
editor:
- first_name: Sergio
full_name: de Cesare, Sergio
last_name: de Cesare
- first_name: Frank
full_name: Ulrich, Frank
last_name: Ulrich
language:
- iso: eng
page: 79–88
place: Valencia, Spain
publication: Proceedings of the 36$^th$ International Conference on Conceptual Modeling
(ER’17)
publication_identifier:
isbn:
- 978-3-319-70625-2
publisher: Springer International Publishing
status: public
title: Stream Clustering of Chat Messages with Applications to Twitch Streams
type: conference
user_id: '15504'
year: '2017'
...
---
_id: '46362'
abstract:
- lang: eng
text: Social bots are currently regarded an influential but also somewhat mysterious
factor in public discourse and opinion making. They are considered to be capable
of massively distributing propaganda in social and online media, and their application
is even suspected to be partly responsible for recent election results. Astonishingly,
the term social bot is not well defined and different scientific disciplines use
divergent definitions. This work starts with a balanced definition attempt, before
providing an overview of how social bots actually work (taking the example of
Twitter) and what their current technical limitations are. Despite recent research
progress in Deep Learning and Big Data, there are many activities bots cannot
handle well. We then discuss how bot capabilities can be extended and controlled
by integrating humans into the process and reason that this is currently the most
promising way to realize meaningful interactions with other humans. This finally
leads to the conclusion that hybridization is a challenge for current detection
mechanisms and has to be handled with more sophisticated approaches to identify
political propaganda distributed with social bots.
author:
- first_name: C
full_name: Grimme, C
last_name: Grimme
- first_name: M
full_name: Preuss, M
last_name: Preuss
- first_name: L
full_name: Adam, L
last_name: Adam
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Grimme C, Preuss M, Adam L, Trautmann H. Social Bots: Human-Like by Means
of Human Control? Big Data. 2017;5(4):279–293. doi:10.1089/big.2017.0044'
apa: 'Grimme, C., Preuss, M., Adam, L., & Trautmann, H. (2017). Social Bots:
Human-Like by Means of Human Control? Big Data, 5(4), 279–293. https://doi.org/10.1089/big.2017.0044'
bibtex: '@article{Grimme_Preuss_Adam_Trautmann_2017, title={Social Bots: Human-Like
by Means of Human Control?}, volume={5}, DOI={10.1089/big.2017.0044},
number={4}, journal={Big Data}, author={Grimme, C and Preuss, M and Adam, L and
Trautmann, Heike}, year={2017}, pages={279–293} }'
chicago: 'Grimme, C, M Preuss, L Adam, and Heike Trautmann. “Social Bots: Human-Like
by Means of Human Control?” Big Data 5, no. 4 (2017): 279–293. https://doi.org/10.1089/big.2017.0044.'
ieee: 'C. Grimme, M. Preuss, L. Adam, and H. Trautmann, “Social Bots: Human-Like
by Means of Human Control?,” Big Data, vol. 5, no. 4, pp. 279–293, 2017,
doi: 10.1089/big.2017.0044.'
mla: 'Grimme, C., et al. “Social Bots: Human-Like by Means of Human Control?” Big
Data, vol. 5, no. 4, 2017, pp. 279–293, doi:10.1089/big.2017.0044.'
short: C. Grimme, M. Preuss, L. Adam, H. Trautmann, Big Data 5 (2017) 279–293.
date_created: 2023-08-04T15:07:56Z
date_updated: 2023-10-16T13:37:14Z
department:
- _id: '34'
- _id: '819'
doi: 10.1089/big.2017.0044
intvolume: ' 5'
issue: '4'
language:
- iso: eng
page: 279–293
publication: Big Data
status: public
title: 'Social Bots: Human-Like by Means of Human Control?'
type: journal_article
user_id: '15504'
volume: 5
year: '2017'
...
---
_id: '46358'
abstract:
- lang: eng
text: Analysing streaming data has received considerable attention over the recent
years. A key research area in this field is stream clustering which aims to recognize
patterns in a possibly unbounded data stream of varying speed and structure. Over
the past decades a multitude of new stream clustering algorithms have been proposed.
However, to the best of our knowledge, no rigorous analysis and comparison of
the different approaches has been performed. Our paper fills this gap and provides
extensive experiments for a total of ten popular algorithms. We utilize a number
of standard data sets of both, real and synthetic data and identify key weaknesses
and strengths of the existing algorithms.
author:
- first_name: Matthias
full_name: Carnein, Matthias
last_name: Carnein
- first_name: Dennis
full_name: Assenmacher, Dennis
last_name: Assenmacher
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Carnein M, Assenmacher D, Trautmann H. An Empirical Comparison of Stream Clustering
Algorithms. In: Proceedings of the ACM International Conference on Computing
Frontiers (CF ’17). ; 2017:361–365. doi:10.1145/3075564.3078887'
apa: Carnein, M., Assenmacher, D., & Trautmann, H. (2017). An Empirical Comparison
of Stream Clustering Algorithms. Proceedings of the ACM International Conference
on Computing Frontiers (CF ’17), 361–365. https://doi.org/10.1145/3075564.3078887
bibtex: '@inproceedings{Carnein_Assenmacher_Trautmann_2017, place={Siena, Italy},
title={An Empirical Comparison of Stream Clustering Algorithms}, DOI={10.1145/3075564.3078887},
booktitle={Proceedings of the ACM International Conference on Computing Frontiers
(CF ’17)}, author={Carnein, Matthias and Assenmacher, Dennis and Trautmann, Heike},
year={2017}, pages={361–365} }'
chicago: Carnein, Matthias, Dennis Assenmacher, and Heike Trautmann. “An Empirical
Comparison of Stream Clustering Algorithms.” In Proceedings of the ACM International
Conference on Computing Frontiers (CF ’17), 361–365. Siena, Italy, 2017. https://doi.org/10.1145/3075564.3078887.
ieee: 'M. Carnein, D. Assenmacher, and H. Trautmann, “An Empirical Comparison of
Stream Clustering Algorithms,” in Proceedings of the ACM International Conference
on Computing Frontiers (CF ’17), 2017, pp. 361–365, doi: 10.1145/3075564.3078887.'
mla: Carnein, Matthias, et al. “An Empirical Comparison of Stream Clustering Algorithms.”
Proceedings of the ACM International Conference on Computing Frontiers (CF
’17), 2017, pp. 361–365, doi:10.1145/3075564.3078887.
short: 'M. Carnein, D. Assenmacher, H. Trautmann, in: Proceedings of the ACM International
Conference on Computing Frontiers (CF ’17), Siena, Italy, 2017, pp. 361–365.'
date_created: 2023-08-04T15:04:09Z
date_updated: 2023-10-16T13:35:59Z
department:
- _id: '34'
- _id: '819'
doi: 10.1145/3075564.3078887
language:
- iso: eng
page: 361–365
place: Siena, Italy
publication: Proceedings of the ACM International Conference on Computing Frontiers
(CF ’17)
publication_identifier:
isbn:
- 978-1-4503-4487-6/17/05
status: public
title: An Empirical Comparison of Stream Clustering Algorithms
type: conference
user_id: '15504'
year: '2017'
...
---
_id: '48863'
abstract:
- lang: eng
text: The novel R package ecr (version 2), short for Evolutionary Computation in
R, provides a comprehensive collection of building blocks for constructing powerful
evolutionary algorithms for single- and multi-objective continuous and combinatorial
optimization problems. It allows to solve standard optimization tasks with few
lines of code using a black-box approach. Moreover, rapid prototyping of non-standard
ideas is possible via an explicit, white-box approach. This paper describes the
design principles of the package and gives some introductory examples on how to
use the package in practise.
author:
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
citation:
ama: 'Bossek J. Ecr 2.0: A Modular Framework for Evolutionary Computation in R.
In: Proceedings of the Genetic and Evolutionary Computation Conference Companion.
GECCO ’17. Association for Computing Machinery; 2017:1187–1193. doi:10.1145/3067695.3082470'
apa: 'Bossek, J. (2017). Ecr 2.0: A Modular Framework for Evolutionary Computation
in R. Proceedings of the Genetic and Evolutionary Computation Conference Companion,
1187–1193. https://doi.org/10.1145/3067695.3082470'
bibtex: '@inproceedings{Bossek_2017, place={New York, NY, USA}, series={GECCO ’17},
title={Ecr 2.0: A Modular Framework for Evolutionary Computation in R}, DOI={10.1145/3067695.3082470}, booktitle={Proceedings
of the Genetic and Evolutionary Computation Conference Companion}, publisher={Association
for Computing Machinery}, author={Bossek, Jakob}, year={2017}, pages={1187–1193},
collection={GECCO ’17} }'
chicago: 'Bossek, Jakob. “Ecr 2.0: A Modular Framework for Evolutionary Computation
in R.” In Proceedings of the Genetic and Evolutionary Computation Conference
Companion, 1187–1193. GECCO ’17. New York, NY, USA: Association for Computing
Machinery, 2017. https://doi.org/10.1145/3067695.3082470.'
ieee: 'J. Bossek, “Ecr 2.0: A Modular Framework for Evolutionary Computation in
R,” in Proceedings of the Genetic and Evolutionary Computation Conference Companion,
2017, pp. 1187–1193, doi: 10.1145/3067695.3082470.'
mla: 'Bossek, Jakob. “Ecr 2.0: A Modular Framework for Evolutionary Computation
in R.” Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Association for Computing Machinery, 2017, pp. 1187–1193, doi:10.1145/3067695.3082470.'
short: 'J. Bossek, in: Proceedings of the Genetic and Evolutionary Computation Conference
Companion, Association for Computing Machinery, New York, NY, USA, 2017, pp. 1187–1193.'
date_created: 2023-11-14T15:58:55Z
date_updated: 2023-12-13T10:45:05Z
department:
- _id: '819'
doi: 10.1145/3067695.3082470
extern: '1'
keyword:
- evolutionary optimization
- software-tools
language:
- iso: eng
page: 1187–1193
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference Companion
publication_identifier:
isbn:
- 978-1-4503-4939-0
publication_status: published
publisher: Association for Computing Machinery
series_title: GECCO ’17
status: public
title: 'Ecr 2.0: A Modular Framework for Evolutionary Computation in R'
type: conference
user_id: '102979'
year: '2017'
...
---
_id: '48857'
abstract:
- lang: eng
text: 'While finding minimum-cost spanning trees (MST) in undirected graphs is solvable
in polynomial time, the multi-criteria minimum spanning tree problem (mcMST) is
NP-hard. Interestingly, the mcMST problem has not been in focus of evolutionary
computation research for a long period of time, although, its relevance for real
world problems is easy to see. The available and most notable approaches by Zhou
and Gen as well as by Knowles and Corne concentrate on solution encoding and on
fairly dated selection mechanisms. In this work, we revisit the mcMST and focus
on the mutation operators as exploratory components of evolutionary algorithms
neglected so far. We investigate optimal solution characteristics to discuss current
mutation strategies, identify shortcomings of these operators, and propose a sub-tree
based operator which offers what we term Pareto-beneficial behavior: ensuring
convergence and diversity at the same time. The operator is empirically evaluated
inside modern standard evolutionary meta-heuristics for multi-criteria optimization
and compared to hitherto applied mutation operators in the context of mcMST.'
author:
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Christian
full_name: Grimme, Christian
last_name: Grimme
citation:
ama: 'Bossek J, Grimme C. A Pareto-Beneficial Sub-Tree Mutation for the Multi-Criteria
Minimum Spanning Tree Problem. In: 2017 IEEE Symposium Series on Computational
Intelligence (SSCI). ; 2017:1–8. doi:10.1109/SSCI.2017.8285183'
apa: Bossek, J., & Grimme, C. (2017). A Pareto-Beneficial Sub-Tree Mutation
for the Multi-Criteria Minimum Spanning Tree Problem. 2017 IEEE Symposium Series
on Computational Intelligence (SSCI), 1–8. https://doi.org/10.1109/SSCI.2017.8285183
bibtex: '@inproceedings{Bossek_Grimme_2017, title={A Pareto-Beneficial Sub-Tree
Mutation for the Multi-Criteria Minimum Spanning Tree Problem}, DOI={10.1109/SSCI.2017.8285183},
booktitle={2017 IEEE Symposium Series on Computational Intelligence (SSCI)}, author={Bossek,
Jakob and Grimme, Christian}, year={2017}, pages={1–8} }'
chicago: Bossek, Jakob, and Christian Grimme. “A Pareto-Beneficial Sub-Tree Mutation
for the Multi-Criteria Minimum Spanning Tree Problem.” In 2017 IEEE Symposium
Series on Computational Intelligence (SSCI), 1–8, 2017. https://doi.org/10.1109/SSCI.2017.8285183.
ieee: 'J. Bossek and C. Grimme, “A Pareto-Beneficial Sub-Tree Mutation for the Multi-Criteria
Minimum Spanning Tree Problem,” in 2017 IEEE Symposium Series on Computational
Intelligence (SSCI), 2017, pp. 1–8, doi: 10.1109/SSCI.2017.8285183.'
mla: Bossek, Jakob, and Christian Grimme. “A Pareto-Beneficial Sub-Tree Mutation
for the Multi-Criteria Minimum Spanning Tree Problem.” 2017 IEEE Symposium
Series on Computational Intelligence (SSCI), 2017, pp. 1–8, doi:10.1109/SSCI.2017.8285183.
short: 'J. Bossek, C. Grimme, in: 2017 IEEE Symposium Series on Computational Intelligence
(SSCI), 2017, pp. 1–8.'
date_created: 2023-11-14T15:58:54Z
date_updated: 2023-12-13T10:44:28Z
department:
- _id: '819'
doi: 10.1109/SSCI.2017.8285183
extern: '1'
keyword:
- Convergence
- Encoding
- Euclidean distance
- Evolutionary computation
- Heating systems
- Optimization
- Standards
language:
- iso: eng
page: 1–8
publication: 2017 IEEE Symposium Series on Computational Intelligence (SSCI)
publication_status: published
status: public
title: A Pareto-Beneficial Sub-Tree Mutation for the Multi-Criteria Minimum Spanning
Tree Problem
type: conference
user_id: '102979'
year: '2017'
...
---
_id: '48856'
abstract:
- lang: eng
text: There exist many optimal or heuristic priority rules for machine scheduling
problems, which can easily be integrated into single-objective evolutionary algorithms
via mutation operators. However, in the multi-objective case, simultaneously applying
different priorities for different objectives may cause severe disruptions in
the genome and may lead to inferior solutions. In this paper, we combine an existing
mutation operator concept with new insights from detailed observation of the structure
of solutions for multi-objective machine scheduling problems. This allows the
comprehensive integration of priority rules to produce better Pareto-front approximations.
We evaluate the extended operator concept compared to standard swap mutation and
the stand-alone components of our hybrid scheme, which performs best in all evaluated
cases.
author:
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Christian
full_name: Grimme, Christian
last_name: Grimme
citation:
ama: 'Bossek J, Grimme C. An Extended Mutation-Based Priority-Rule Integration Concept
for Multi-Objective Machine Scheduling. In: 2017 IEEE Symposium Series on Computational
Intelligence (SSCI). ; 2017:1–8. doi:10.1109/SSCI.2017.8285224'
apa: Bossek, J., & Grimme, C. (2017). An Extended Mutation-Based Priority-Rule
Integration Concept for Multi-Objective Machine Scheduling. 2017 IEEE Symposium
Series on Computational Intelligence (SSCI), 1–8. https://doi.org/10.1109/SSCI.2017.8285224
bibtex: '@inproceedings{Bossek_Grimme_2017, title={An Extended Mutation-Based Priority-Rule
Integration Concept for Multi-Objective Machine Scheduling}, DOI={10.1109/SSCI.2017.8285224},
booktitle={2017 IEEE Symposium Series on Computational Intelligence (SSCI)}, author={Bossek,
Jakob and Grimme, Christian}, year={2017}, pages={1–8} }'
chicago: Bossek, Jakob, and Christian Grimme. “An Extended Mutation-Based Priority-Rule
Integration Concept for Multi-Objective Machine Scheduling.” In 2017 IEEE Symposium
Series on Computational Intelligence (SSCI), 1–8, 2017. https://doi.org/10.1109/SSCI.2017.8285224.
ieee: 'J. Bossek and C. Grimme, “An Extended Mutation-Based Priority-Rule Integration
Concept for Multi-Objective Machine Scheduling,” in 2017 IEEE Symposium Series
on Computational Intelligence (SSCI), 2017, pp. 1–8, doi: 10.1109/SSCI.2017.8285224.'
mla: Bossek, Jakob, and Christian Grimme. “An Extended Mutation-Based Priority-Rule
Integration Concept for Multi-Objective Machine Scheduling.” 2017 IEEE Symposium
Series on Computational Intelligence (SSCI), 2017, pp. 1–8, doi:10.1109/SSCI.2017.8285224.
short: 'J. Bossek, C. Grimme, in: 2017 IEEE Symposium Series on Computational Intelligence
(SSCI), 2017, pp. 1–8.'
date_created: 2023-11-14T15:58:54Z
date_updated: 2023-12-13T10:44:36Z
department:
- _id: '819'
doi: 10.1109/SSCI.2017.8285224
extern: '1'
keyword:
- Evolutionary computation
- Processor scheduling
- Schedules
- Scheduling
- Sociology
- Standards
- Statistics
language:
- iso: eng
page: 1–8
publication: 2017 IEEE Symposium Series on Computational Intelligence (SSCI)
publication_status: published
status: public
title: An Extended Mutation-Based Priority-Rule Integration Concept for Multi-Objective
Machine Scheduling
type: conference
user_id: '102979'
year: '2017'
...
---
_id: '48864'
abstract:
- lang: eng
text: 'Bossek, (2017), mcMST: A Toolbox for the Multi-Criteria Minimum Spanning
Tree Problem, Journal of Open Source Software, 2(17), 374, doi:10.21105/joss.00374'
author:
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
citation:
ama: 'Bossek J. mcMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem.
Journal of Open Source Software. 2017;2(17):374. doi:10.21105/joss.00374'
apa: 'Bossek, J. (2017). mcMST: A Toolbox for the Multi-Criteria Minimum Spanning
Tree Problem. Journal of Open Source Software, 2(17), 374. https://doi.org/10.21105/joss.00374'
bibtex: '@article{Bossek_2017, title={mcMST: A Toolbox for the Multi-Criteria Minimum
Spanning Tree Problem}, volume={2}, DOI={10.21105/joss.00374},
number={17}, journal={Journal of Open Source Software}, author={Bossek, Jakob},
year={2017}, pages={374} }'
chicago: 'Bossek, Jakob. “McMST: A Toolbox for the Multi-Criteria Minimum Spanning
Tree Problem.” Journal of Open Source Software 2, no. 17 (2017): 374. https://doi.org/10.21105/joss.00374.'
ieee: 'J. Bossek, “mcMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree
Problem,” Journal of Open Source Software, vol. 2, no. 17, p. 374, 2017,
doi: 10.21105/joss.00374.'
mla: 'Bossek, Jakob. “McMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree
Problem.” Journal of Open Source Software, vol. 2, no. 17, 2017, p. 374,
doi:10.21105/joss.00374.'
short: J. Bossek, Journal of Open Source Software 2 (2017) 374.
date_created: 2023-11-14T15:58:55Z
date_updated: 2023-12-13T10:52:04Z
department:
- _id: '819'
doi: 10.21105/joss.00374
intvolume: ' 2'
issue: '17'
language:
- iso: eng
page: '374'
publication: Journal of Open Source Software
publication_identifier:
issn:
- 2475-9066
status: public
title: 'mcMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem'
type: journal_article
user_id: '102979'
volume: 2
year: '2017'
...