--- _id: '10319' author: - first_name: W. full_name: Waegeman, W. last_name: Waegeman - first_name: K. full_name: Dembczynski, K. last_name: Dembczynski - first_name: A. full_name: Jachnik, A. last_name: Jachnik - first_name: W. full_name: Cheng, W. last_name: Cheng - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: Waegeman W, Dembczynski K, Jachnik A, Cheng W, Hüllermeier E. On the Bayes-Optimality of F-Measure Maximizers. in Journal of Machine Learning Research. 2015;15:3333-3388. apa: Waegeman, W., Dembczynski, K., Jachnik, A., Cheng, W., & Hüllermeier, E. (2015). On the Bayes-Optimality of F-Measure Maximizers. In Journal of Machine Learning Research, 15, 3333–3388. bibtex: '@article{Waegeman_Dembczynski_Jachnik_Cheng_Hüllermeier_2015, title={On the Bayes-Optimality of F-Measure Maximizers}, volume={15}, journal={in Journal of Machine Learning Research}, author={Waegeman, W. and Dembczynski, K. and Jachnik, A. and Cheng, W. and Hüllermeier, Eyke}, year={2015}, pages={3333–3388} }' chicago: 'Waegeman, W., K. Dembczynski, A. Jachnik, W. Cheng, and Eyke Hüllermeier. “On the Bayes-Optimality of F-Measure Maximizers.” In Journal of Machine Learning Research 15 (2015): 3333–88.' ieee: W. Waegeman, K. Dembczynski, A. Jachnik, W. Cheng, and E. Hüllermeier, “On the Bayes-Optimality of F-Measure Maximizers,” in Journal of Machine Learning Research, vol. 15, pp. 3333–3388, 2015. mla: Waegeman, W., et al. “On the Bayes-Optimality of F-Measure Maximizers.” In Journal of Machine Learning Research, vol. 15, 2015, pp. 3333–88. short: W. Waegeman, K. Dembczynski, A. Jachnik, W. Cheng, E. Hüllermeier, In Journal of Machine Learning Research 15 (2015) 3333–3388. date_created: 2019-06-26T13:04:35Z date_updated: 2022-01-06T06:50:36Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 15' language: - iso: eng page: 3333-3388 publication: in Journal of Machine Learning Research status: public title: On the Bayes-Optimality of F-Measure Maximizers type: journal_article user_id: '49109' volume: 15 year: '2015' ... --- _id: '10320' author: - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: Hüllermeier E. Does machine learning need fuzzy logic? Fuzzy Sets and Systems. 2015;281:292-299. apa: Hüllermeier, E. (2015). Does machine learning need fuzzy logic? Fuzzy Sets and Systems, 281, 292–299. bibtex: '@article{Hüllermeier_2015, title={Does machine learning need fuzzy logic?}, volume={281}, journal={Fuzzy Sets and Systems}, author={Hüllermeier, Eyke}, year={2015}, pages={292–299} }' chicago: 'Hüllermeier, Eyke. “Does Machine Learning Need Fuzzy Logic?” Fuzzy Sets and Systems 281 (2015): 292–99.' ieee: E. Hüllermeier, “Does machine learning need fuzzy logic?,” Fuzzy Sets and Systems, vol. 281, pp. 292–299, 2015. mla: Hüllermeier, Eyke. “Does Machine Learning Need Fuzzy Logic?” Fuzzy Sets and Systems, vol. 281, 2015, pp. 292–99. short: E. Hüllermeier, Fuzzy Sets and Systems 281 (2015) 292–299. date_created: 2019-06-26T13:07:00Z date_updated: 2022-01-06T06:50:36Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 281' language: - iso: eng page: 292-299 publication: Fuzzy Sets and Systems status: public title: Does machine learning need fuzzy logic? type: journal_article user_id: '49109' volume: 281 year: '2015' ... --- _id: '10321' author: - first_name: Ammar full_name: Shaker, Ammar last_name: Shaker - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Shaker A, Hüllermeier E. Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study. Neurocomputing. 2015;150:250-264.' apa: 'Shaker, A., & Hüllermeier, E. (2015). Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study. Neurocomputing, 150, 250–264.' bibtex: '@article{Shaker_Hüllermeier_2015, title={Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study}, volume={150}, journal={Neurocomputing}, author={Shaker, Ammar and Hüllermeier, Eyke}, year={2015}, pages={250–264} }' chicago: 'Shaker, Ammar, and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning from Non-Stationary Data Streams: Experimental Design and Case Study.” Neurocomputing 150 (2015): 250–64.' ieee: 'A. Shaker and E. Hüllermeier, “Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study,” Neurocomputing, vol. 150, pp. 250–264, 2015.' mla: 'Shaker, Ammar, and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning from Non-Stationary Data Streams: Experimental Design and Case Study.” Neurocomputing, vol. 150, 2015, pp. 250–64.' short: A. Shaker, E. Hüllermeier, Neurocomputing 150 (2015) 250–264. date_created: 2019-06-26T13:09:44Z date_updated: 2022-01-06T06:50:36Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 150' language: - iso: eng page: 250-264 publication: Neurocomputing status: public title: 'Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study' type: journal_article user_id: '49109' volume: 150 year: '2015' ... --- _id: '10322' author: - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: Hüllermeier E. From Knowledge-based to Data-driven fuzzy modeling-Development, criticism and alternative directions. Informatik Spektrum. 2015;38(6):500-509. apa: Hüllermeier, E. (2015). From Knowledge-based to Data-driven fuzzy modeling-Development, criticism and alternative directions. Informatik Spektrum, 38(6), 500–509. bibtex: '@article{Hüllermeier_2015, title={From Knowledge-based to Data-driven fuzzy modeling-Development, criticism and alternative directions}, volume={38}, number={6}, journal={Informatik Spektrum}, author={Hüllermeier, Eyke}, year={2015}, pages={500–509} }' chicago: 'Hüllermeier, Eyke. “From Knowledge-Based to Data-Driven Fuzzy Modeling-Development, Criticism and Alternative Directions.” Informatik Spektrum 38, no. 6 (2015): 500–509.' ieee: E. Hüllermeier, “From Knowledge-based to Data-driven fuzzy modeling-Development, criticism and alternative directions,” Informatik Spektrum, vol. 38, no. 6, pp. 500–509, 2015. mla: Hüllermeier, Eyke. “From Knowledge-Based to Data-Driven Fuzzy Modeling-Development, Criticism and Alternative Directions.” Informatik Spektrum, vol. 38, no. 6, 2015, pp. 500–09. short: E. Hüllermeier, Informatik Spektrum 38 (2015) 500–509. date_created: 2019-06-26T13:12:59Z date_updated: 2022-01-06T06:50:36Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 38' issue: '6' language: - iso: eng page: 500-509 publication: Informatik Spektrum status: public title: From Knowledge-based to Data-driven fuzzy modeling-Development, criticism and alternative directions type: journal_article user_id: '49109' volume: 38 year: '2015' ... --- _id: '10323' author: - first_name: S. full_name: Garcia-Jimenez, S. last_name: Garcia-Jimenez - first_name: U. full_name: Bustince, U. last_name: Bustince - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: R. full_name: Mesiar, R. last_name: Mesiar - first_name: N.R. full_name: Pal, N.R. last_name: Pal - first_name: A. full_name: Pradera, A. last_name: Pradera citation: ama: 'Garcia-Jimenez S, Bustince U, Hüllermeier E, Mesiar R, Pal NR, Pradera A. Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems. IEEE Transactions on Fuzzy Systems. 2015;23(4):1259-1273.' apa: 'Garcia-Jimenez, S., Bustince, U., Hüllermeier, E., Mesiar, R., Pal, N. R., & Pradera, A. (2015). Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems. IEEE Transactions on Fuzzy Systems, 23(4), 1259–1273.' bibtex: '@article{Garcia-Jimenez_Bustince_Hüllermeier_Mesiar_Pal_Pradera_2015, title={Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems}, volume={23}, number={4}, journal={IEEE Transactions on Fuzzy Systems}, author={Garcia-Jimenez, S. and Bustince, U. and Hüllermeier, Eyke and Mesiar, R. and Pal, N.R. and Pradera, A.}, year={2015}, pages={1259–1273} }' chicago: 'Garcia-Jimenez, S., U. Bustince, Eyke Hüllermeier, R. Mesiar, N.R. Pal, and A. Pradera. “Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems.” IEEE Transactions on Fuzzy Systems 23, no. 4 (2015): 1259–73.' ieee: 'S. Garcia-Jimenez, U. Bustince, E. Hüllermeier, R. Mesiar, N. R. Pal, and A. Pradera, “Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems,” IEEE Transactions on Fuzzy Systems, vol. 23, no. 4, pp. 1259–1273, 2015.' mla: 'Garcia-Jimenez, S., et al. “Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems.” IEEE Transactions on Fuzzy Systems, vol. 23, no. 4, 2015, pp. 1259–73.' short: S. Garcia-Jimenez, U. Bustince, E. Hüllermeier, R. Mesiar, N.R. Pal, A. Pradera, IEEE Transactions on Fuzzy Systems 23 (2015) 1259–1273. date_created: 2019-06-26T13:17:46Z date_updated: 2022-01-06T06:50:36Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 23' issue: '4' language: - iso: eng page: 1259-1273 publication: IEEE Transactions on Fuzzy Systems status: public title: 'Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems' type: journal_article user_id: '49109' volume: 23 year: '2015' ... --- _id: '10324' author: - first_name: Robin full_name: Senge, Robin last_name: Senge - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: Senge R, Hüllermeier E. Fast Fuzzy Pattern Tree Learning of Classification. IEEE Transactions on Fuzzy Systems. 2015;23(6):2024-2033. apa: Senge, R., & Hüllermeier, E. (2015). Fast Fuzzy Pattern Tree Learning of Classification. IEEE Transactions on Fuzzy Systems, 23(6), 2024–2033. bibtex: '@article{Senge_Hüllermeier_2015, title={Fast Fuzzy Pattern Tree Learning of Classification}, volume={23}, number={6}, journal={IEEE Transactions on Fuzzy Systems}, author={Senge, Robin and Hüllermeier, Eyke}, year={2015}, pages={2024–2033} }' chicago: 'Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning of Classification.” IEEE Transactions on Fuzzy Systems 23, no. 6 (2015): 2024–33.' ieee: R. Senge and E. Hüllermeier, “Fast Fuzzy Pattern Tree Learning of Classification,” IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, pp. 2024–2033, 2015. mla: Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning of Classification.” IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, 2015, pp. 2024–33. short: R. Senge, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 23 (2015) 2024–2033. date_created: 2019-06-26T13:20:43Z date_updated: 2022-01-06T06:50:36Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 23' issue: '6' language: - iso: eng page: 2024-2033 publication: IEEE Transactions on Fuzzy Systems status: public title: Fast Fuzzy Pattern Tree Learning of Classification type: journal_article user_id: '49109' volume: 23 year: '2015' ... --- _id: '24155' author: - first_name: Manu full_name: Basavaraju, Manu last_name: Basavaraju - first_name: L Sunil full_name: Chandran, L Sunil last_name: Chandran - first_name: Deepak full_name: Rajendraprasad, Deepak last_name: Rajendraprasad - first_name: Arunselvan full_name: Ramaswamy, Arunselvan id: '66937' last_name: Ramaswamy orcid: https://orcid.org/ 0000-0001-7547-8111 citation: ama: Basavaraju M, Chandran LS, Rajendraprasad D, Ramaswamy A. Rainbow connection number of graph power and graph products. Graphs and Combinatorics. 2014;30(6):1363-1382. apa: Basavaraju, M., Chandran, L. S., Rajendraprasad, D., & Ramaswamy, A. (2014). Rainbow connection number of graph power and graph products. Graphs and Combinatorics, 30(6), 1363–1382. bibtex: '@article{Basavaraju_Chandran_Rajendraprasad_Ramaswamy_2014, title={Rainbow connection number of graph power and graph products}, volume={30}, number={6}, journal={Graphs and Combinatorics}, publisher={Springer}, author={Basavaraju, Manu and Chandran, L Sunil and Rajendraprasad, Deepak and Ramaswamy, Arunselvan}, year={2014}, pages={1363–1382} }' chicago: 'Basavaraju, Manu, L Sunil Chandran, Deepak Rajendraprasad, and Arunselvan Ramaswamy. “Rainbow Connection Number of Graph Power and Graph Products.” Graphs and Combinatorics 30, no. 6 (2014): 1363–82.' ieee: M. Basavaraju, L. S. Chandran, D. Rajendraprasad, and A. Ramaswamy, “Rainbow connection number of graph power and graph products,” Graphs and Combinatorics, vol. 30, no. 6, pp. 1363–1382, 2014. mla: Basavaraju, Manu, et al. “Rainbow Connection Number of Graph Power and Graph Products.” Graphs and Combinatorics, vol. 30, no. 6, Springer, 2014, pp. 1363–82. short: M. Basavaraju, L.S. Chandran, D. Rajendraprasad, A. Ramaswamy, Graphs and Combinatorics 30 (2014) 1363–1382. date_created: 2021-09-10T10:22:23Z date_updated: 2022-01-06T06:56:08Z department: - _id: '355' extern: '1' intvolume: ' 30' issue: '6' language: - iso: eng page: 1363-1382 publication: Graphs and Combinatorics publisher: Springer status: public title: Rainbow connection number of graph power and graph products type: journal_article user_id: '66937' volume: 30 year: '2014' ... --- _id: '24156' author: - first_name: Manu full_name: Basavaraju, Manu last_name: Basavaraju - first_name: L Sunil full_name: Chandran, L Sunil last_name: Chandran - first_name: Deepak full_name: Rajendraprasad, Deepak last_name: Rajendraprasad - first_name: Arunselvan full_name: Ramaswamy, Arunselvan id: '66937' last_name: Ramaswamy orcid: https://orcid.org/ 0000-0001-7547-8111 citation: ama: Basavaraju M, Chandran LS, Rajendraprasad D, Ramaswamy A. Rainbow connection number and radius. Graphs and Combinatorics. 2014;30(2):275-285. apa: Basavaraju, M., Chandran, L. S., Rajendraprasad, D., & Ramaswamy, A. (2014). Rainbow connection number and radius. Graphs and Combinatorics, 30(2), 275–285. bibtex: '@article{Basavaraju_Chandran_Rajendraprasad_Ramaswamy_2014, title={Rainbow connection number and radius}, volume={30}, number={2}, journal={Graphs and Combinatorics}, publisher={Springer}, author={Basavaraju, Manu and Chandran, L Sunil and Rajendraprasad, Deepak and Ramaswamy, Arunselvan}, year={2014}, pages={275–285} }' chicago: 'Basavaraju, Manu, L Sunil Chandran, Deepak Rajendraprasad, and Arunselvan Ramaswamy. “Rainbow Connection Number and Radius.” Graphs and Combinatorics 30, no. 2 (2014): 275–85.' ieee: M. Basavaraju, L. S. Chandran, D. Rajendraprasad, and A. Ramaswamy, “Rainbow connection number and radius,” Graphs and Combinatorics, vol. 30, no. 2, pp. 275–285, 2014. mla: Basavaraju, Manu, et al. “Rainbow Connection Number and Radius.” Graphs and Combinatorics, vol. 30, no. 2, Springer, 2014, pp. 275–85. short: M. Basavaraju, L.S. Chandran, D. Rajendraprasad, A. Ramaswamy, Graphs and Combinatorics 30 (2014) 275–285. date_created: 2021-09-10T10:23:07Z date_updated: 2022-01-06T06:56:08Z department: - _id: '355' extern: '1' intvolume: ' 30' issue: '2' language: - iso: eng page: 275-285 publication: Graphs and Combinatorics publisher: Springer status: public title: Rainbow connection number and radius type: journal_article user_id: '66937' volume: 30 year: '2014' ... --- _id: '353' abstract: - lang: eng text: 'There are many technologies for the automation of processesthat deal with services; examples are service discovery and composition.Automation of these processes requires that the services are described semantically. However, semantically described services are currently not oronly rarely available, which limits the applicability of discovery and composition approaches. The systematic support for creating new semanticservices usable by automated technologies is an open problem.We tackle this problem with a template based approach: Domain independent templates are instantiated with domain specific services andboolean expressions. The obtained services have semantic descriptionswhose correctness directly follows from the correctness of the template.Besides the theory, we present experimental results for a service repository in which 85% of the services were generated automatically.' author: - first_name: Felix full_name: Mohr, Felix last_name: Mohr - first_name: Sven full_name: Walther, Sven last_name: Walther citation: ama: 'Mohr F, Walther S. Template-based Generation of Semantic Services. In: Proceedings of the 14th International Conference on Software Reuse (ICSR). LNCS. ; 2014:188-203. doi:10.1007/978-3-319-14130-5_14' apa: Mohr, F., & Walther, S. (2014). Template-based Generation of Semantic Services. In Proceedings of the 14th International Conference on Software Reuse (ICSR) (pp. 188–203). https://doi.org/10.1007/978-3-319-14130-5_14 bibtex: '@inproceedings{Mohr_Walther_2014, series={LNCS}, title={Template-based Generation of Semantic Services}, DOI={10.1007/978-3-319-14130-5_14}, booktitle={Proceedings of the 14th International Conference on Software Reuse (ICSR)}, author={Mohr, Felix and Walther, Sven}, year={2014}, pages={188–203}, collection={LNCS} }' chicago: Mohr, Felix, and Sven Walther. “Template-Based Generation of Semantic Services.” In Proceedings of the 14th International Conference on Software Reuse (ICSR), 188–203. LNCS, 2014. https://doi.org/10.1007/978-3-319-14130-5_14. ieee: F. Mohr and S. Walther, “Template-based Generation of Semantic Services,” in Proceedings of the 14th International Conference on Software Reuse (ICSR), 2014, pp. 188–203. mla: Mohr, Felix, and Sven Walther. “Template-Based Generation of Semantic Services.” Proceedings of the 14th International Conference on Software Reuse (ICSR), 2014, pp. 188–203, doi:10.1007/978-3-319-14130-5_14. short: 'F. Mohr, S. Walther, in: Proceedings of the 14th International Conference on Software Reuse (ICSR), 2014, pp. 188–203.' date_created: 2017-10-17T12:42:00Z date_updated: 2022-01-06T06:59:22Z ddc: - '040' department: - _id: '77' - _id: '355' doi: 10.1007/978-3-319-14130-5_14 file: - access_level: closed content_type: application/pdf creator: florida date_created: 2018-03-20T07:23:32Z date_updated: 2018-03-20T07:23:32Z file_id: '1414' file_name: 353-icsr2015_submission_17.pdf file_size: 431778 relation: main_file success: 1 file_date_updated: 2018-03-20T07:23:32Z has_accepted_license: '1' language: - iso: eng page: 188-203 project: - _id: '1' name: SFB 901 - _id: '11' name: SFB 901 - Subprojekt B3 - _id: '3' name: SFB 901 - Project Area B - _id: '10' name: SFB 901 - Subproject B2 publication: Proceedings of the 14th International Conference on Software Reuse (ICSR) series_title: LNCS status: public title: Template-based Generation of Semantic Services type: conference user_id: '477' year: '2014' ... --- _id: '447' abstract: - lang: eng text: Automatic service composition is still a challengingtask. It is even more challenging when dealing witha dynamic market of services for end users. New servicesmay enter the market while other services are completelyremoved. Furthermore, end users are typically no experts in thedomain in which they formulate a request. As a consequence,ambiguous user requests will inevitably emerge and have tobe taken into account. To meet these challenges, we proposea new approach that combines automatic service compositionwith adaptive service recommendation. A best first backwardsearch algorithm produces solutions that are functional correctwith respect to user requests. An adaptive recommendationsystem supports the search algorithm in decision-making.Reinforcement Learning techniques enable the system to adjustits recommendation strategy over time based on user ratings.The integrated approach is described on a conceptional leveland demonstrated by means of an illustrative example fromthe image processing domain. author: - first_name: Alexander full_name: Jungmann, Alexander last_name: Jungmann - first_name: Felix full_name: Mohr, Felix last_name: Mohr - first_name: Bernd full_name: Kleinjohann, Bernd last_name: Kleinjohann citation: ama: 'Jungmann A, Mohr F, Kleinjohann B. Combining Automatic Service Composition with Adaptive Service Recommendation for Dynamic Markets of Services. In: Proceedings of the 10th World Congress on Services (SERVICES). ; 2014:346-353. doi:10.1109/SERVICES.2014.68' apa: Jungmann, A., Mohr, F., & Kleinjohann, B. (2014). Combining Automatic Service Composition with Adaptive Service Recommendation for Dynamic Markets of Services. In Proceedings of the 10th World Congress on Services (SERVICES) (pp. 346–353). https://doi.org/10.1109/SERVICES.2014.68 bibtex: '@inproceedings{Jungmann_Mohr_Kleinjohann_2014, title={Combining Automatic Service Composition with Adaptive Service Recommendation for Dynamic Markets of Services}, DOI={10.1109/SERVICES.2014.68}, booktitle={Proceedings of the 10th World Congress on Services (SERVICES)}, author={Jungmann, Alexander and Mohr, Felix and Kleinjohann, Bernd}, year={2014}, pages={346–353} }' chicago: Jungmann, Alexander, Felix Mohr, and Bernd Kleinjohann. “Combining Automatic Service Composition with Adaptive Service Recommendation for Dynamic Markets of Services.” In Proceedings of the 10th World Congress on Services (SERVICES), 346–53, 2014. https://doi.org/10.1109/SERVICES.2014.68. ieee: A. Jungmann, F. Mohr, and B. Kleinjohann, “Combining Automatic Service Composition with Adaptive Service Recommendation for Dynamic Markets of Services,” in Proceedings of the 10th World Congress on Services (SERVICES), 2014, pp. 346–353. mla: Jungmann, Alexander, et al. “Combining Automatic Service Composition with Adaptive Service Recommendation for Dynamic Markets of Services.” Proceedings of the 10th World Congress on Services (SERVICES), 2014, pp. 346–53, doi:10.1109/SERVICES.2014.68. short: 'A. Jungmann, F. Mohr, B. Kleinjohann, in: Proceedings of the 10th World Congress on Services (SERVICES), 2014, pp. 346–353.' date_created: 2017-10-17T12:42:19Z date_updated: 2022-01-06T07:01:06Z ddc: - '040' department: - _id: '355' doi: 10.1109/SERVICES.2014.68 file: - access_level: closed content_type: application/pdf creator: florida date_created: 2018-03-16T11:26:36Z date_updated: 2018-03-16T11:26:36Z file_id: '1347' file_name: 447-_FINAL__Combining_Automatic_Service_Composition_with_Adaptive_Service_Recommendation_for_Dynamic_Markets_of_Services.pdf file_size: 429462 relation: main_file success: 1 file_date_updated: 2018-03-16T11:26:36Z has_accepted_license: '1' language: - iso: eng page: 346-353 project: - _id: '1' name: SFB 901 - _id: '10' name: SFB 901 - Subprojekt B2 - _id: '3' name: SFB 901 - Project Area B publication: Proceedings of the 10th World Congress on Services (SERVICES) status: public title: Combining Automatic Service Composition with Adaptive Service Recommendation for Dynamic Markets of Services type: conference user_id: '477' year: '2014' ... --- _id: '457' abstract: - lang: eng text: Automatically composing service-based software solutionsis still a challenging task. Functional as well as nonfunctionalproperties have to be considered in order to satisfyindividual user requests. Regarding non-functional properties,the composition process can be modeled as optimization problemand solved accordingly. Functional properties, in turn, can bedescribed by means of a formal specification language. Statespacebased planning approaches can then be applied to solvethe underlying composition problem. However, depending on theexpressiveness of the applied formalism and the completenessof the functional descriptions, formally equivalent services maystill differ with respect to their implemented functionality. As aconsequence, the most appropriate solution for a desired functionalitycan hardly be determined without considering additionalinformation. In this paper, we demonstrate how to overcome thislack of information by means of Reinforcement Learning. Inorder to resolve ambiguity, we expand state-space based servicecomposition by a recommendation mechanism that supportsdecision-making beyond formal specifications. The recommendationmechanism adjusts its recommendation strategy basedon feedback from previous composition runs. Image processingserves as case study. Experimental results show the benefit of ourproposed solution. author: - first_name: Alexander full_name: Jungmann, Alexander last_name: Jungmann - first_name: Felix full_name: Mohr, Felix last_name: Mohr - first_name: 'Bernd ' full_name: 'Kleinjohann, Bernd ' last_name: Kleinjohann citation: ama: 'Jungmann A, Mohr F, Kleinjohann B. Applying Reinforcement Learning for Resolving Ambiguity in Service Composition. In: Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA). ; 2014:105-112. doi:10.1109/SOCA.2014.48' apa: Jungmann, A., Mohr, F., & Kleinjohann, B. (2014). Applying Reinforcement Learning for Resolving Ambiguity in Service Composition. In Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA) (pp. 105–112). https://doi.org/10.1109/SOCA.2014.48 bibtex: '@inproceedings{Jungmann_Mohr_Kleinjohann_2014, title={Applying Reinforcement Learning for Resolving Ambiguity in Service Composition}, DOI={10.1109/SOCA.2014.48}, booktitle={Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA)}, author={Jungmann, Alexander and Mohr, Felix and Kleinjohann, Bernd }, year={2014}, pages={105–112} }' chicago: Jungmann, Alexander, Felix Mohr, and Bernd Kleinjohann. “Applying Reinforcement Learning for Resolving Ambiguity in Service Composition.” In Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA), 105–12, 2014. https://doi.org/10.1109/SOCA.2014.48. ieee: A. Jungmann, F. Mohr, and B. Kleinjohann, “Applying Reinforcement Learning for Resolving Ambiguity in Service Composition,” in Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA), 2014, pp. 105–112. mla: Jungmann, Alexander, et al. “Applying Reinforcement Learning for Resolving Ambiguity in Service Composition.” Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA), 2014, pp. 105–12, doi:10.1109/SOCA.2014.48. short: 'A. Jungmann, F. Mohr, B. Kleinjohann, in: Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA), 2014, pp. 105–112.' date_created: 2017-10-17T12:42:21Z date_updated: 2022-01-06T07:01:12Z ddc: - '040' department: - _id: '355' doi: 10.1109/SOCA.2014.48 file: - access_level: closed content_type: application/pdf creator: florida date_created: 2018-03-16T11:22:26Z date_updated: 2018-03-16T11:22:26Z file_id: '1339' file_name: 457-SOCA2014-Jungmann-Mohr.pdf file_size: 1324374 relation: main_file success: 1 file_date_updated: 2018-03-16T11:22:26Z has_accepted_license: '1' language: - iso: eng page: 105-112 project: - _id: '1' name: SFB 901 - _id: '10' name: SFB 901 - Subprojekt B2 - _id: '3' name: SFB 901 - Project Area B publication: Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA) status: public title: Applying Reinforcement Learning for Resolving Ambiguity in Service Composition type: conference user_id: '477' year: '2014' ... --- _id: '428' abstract: - lang: eng text: Services are self-contained software components that can be used platform independent and that aim at maximizing software reuse. A basic concern in service oriented architectures is to measure the reusability of services. One of the most important qualities is the functional reusability, which indicates how relevant the task is that a service solves. Current metrics for functional reusability of software, however, either require source code analysis or have very little explanatory power. This paper gives a formally described vision statement for the estimation of functional reusability of services and sketches an exemplary reusability metric that is based on the service descriptions. author: - first_name: Felix full_name: Mohr, Felix last_name: Mohr citation: ama: 'Mohr F. Estimating Functional Reusability of Services. In: Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC). LNCS. ; 2014:411-418.' apa: Mohr, F. (2014). Estimating Functional Reusability of Services. In Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC) (pp. 411–418). bibtex: '@inproceedings{Mohr_2014, series={LNCS}, title={Estimating Functional Reusability of Services}, booktitle={Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC)}, author={Mohr, Felix}, year={2014}, pages={411–418}, collection={LNCS} }' chicago: Mohr, Felix. “Estimating Functional Reusability of Services.” In Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC), 411–18. LNCS, 2014. ieee: F. Mohr, “Estimating Functional Reusability of Services,” in Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC), 2014, pp. 411–418. mla: Mohr, Felix. “Estimating Functional Reusability of Services.” Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC), 2014, pp. 411–18. short: 'F. Mohr, in: Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC), 2014, pp. 411–418.' date_created: 2017-10-17T12:42:15Z date_updated: 2022-01-06T07:00:47Z ddc: - '040' department: - _id: '355' file: - access_level: closed content_type: application/pdf creator: florida date_created: 2018-03-16T11:32:02Z date_updated: 2018-03-16T11:32:02Z file_id: '1357' file_name: 428-ICSOC14.pdf file_size: 200063 relation: main_file success: 1 file_date_updated: 2018-03-16T11:32:02Z has_accepted_license: '1' language: - iso: eng main_file_link: - url: https://link.springer.com/chapter/10.1007%2F978-3-662-45391-9_31 page: 411-418 project: - _id: '1' name: SFB 901 - _id: '10' name: SFB 901 - Subprojekt B2 - _id: '3' name: SFB 901 - Project Area B publication: Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC) series_title: LNCS status: public title: Estimating Functional Reusability of Services type: conference user_id: '477' year: '2014' ... --- _id: '16046' author: - first_name: M. full_name: Agarwal, M. last_name: Agarwal - first_name: A. full_name: Fallah Tehrani, A. last_name: Fallah Tehrani - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: Agarwal M, Fallah Tehrani A, Hüllermeier E. Preference-based learning of ideal solutions in TOPSIS-like decision models. Journal of Multi-Criteria Decision Analysis. 2014;22(3-4). apa: Agarwal, M., Fallah Tehrani, A., & Hüllermeier, E. (2014). Preference-based learning of ideal solutions in TOPSIS-like decision models. Journal of Multi-Criteria Decision Analysis, 22(3–4). bibtex: '@article{Agarwal_Fallah Tehrani_Hüllermeier_2014, title={Preference-based learning of ideal solutions in TOPSIS-like decision models}, volume={22}, number={3–4}, journal={Journal of Multi-Criteria Decision Analysis}, author={Agarwal, M. and Fallah Tehrani, A. and Hüllermeier, Eyke}, year={2014} }' chicago: Agarwal, M., A. Fallah Tehrani, and Eyke Hüllermeier. “Preference-Based Learning of Ideal Solutions in TOPSIS-like Decision Models.” Journal of Multi-Criteria Decision Analysis 22, no. 3–4 (2014). ieee: M. Agarwal, A. Fallah Tehrani, and E. Hüllermeier, “Preference-based learning of ideal solutions in TOPSIS-like decision models,” Journal of Multi-Criteria Decision Analysis, vol. 22, no. 3–4, 2014. mla: Agarwal, M., et al. “Preference-Based Learning of Ideal Solutions in TOPSIS-like Decision Models.” Journal of Multi-Criteria Decision Analysis, vol. 22, no. 3–4, 2014. short: M. Agarwal, A. Fallah Tehrani, E. Hüllermeier, Journal of Multi-Criteria Decision Analysis 22 (2014). date_created: 2020-02-24T16:12:27Z date_updated: 2022-01-06T06:52:42Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 22' issue: 3-4 language: - iso: eng publication: Journal of Multi-Criteria Decision Analysis status: public title: Preference-based learning of ideal solutions in TOPSIS-like decision models type: journal_article user_id: '49109' volume: 22 year: '2014' ... --- _id: '16060' author: - first_name: T. full_name: Krotzky, T. last_name: Krotzky - first_name: T. full_name: Fober, T. last_name: Fober - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: G. full_name: Klebe, G. last_name: Klebe citation: ama: Krotzky T, Fober T, Hüllermeier E, Klebe G. Extended graph-based models for enhanced similarity search in Cabase. IEEE/ACM Transactions of Computational Biology and Bioinformatics. 2014;11(5):878-890. apa: Krotzky, T., Fober, T., Hüllermeier, E., & Klebe, G. (2014). Extended graph-based models for enhanced similarity search in Cabase. IEEE/ACM Transactions of Computational Biology and Bioinformatics, 11(5), 878–890. bibtex: '@article{Krotzky_Fober_Hüllermeier_Klebe_2014, title={Extended graph-based models for enhanced similarity search in Cabase}, volume={11}, number={5}, journal={IEEE/ACM Transactions of Computational Biology and Bioinformatics}, author={Krotzky, T. and Fober, T. and Hüllermeier, Eyke and Klebe, G.}, year={2014}, pages={878–890} }' chicago: 'Krotzky, T., T. Fober, Eyke Hüllermeier, and G. Klebe. “Extended Graph-Based Models for Enhanced Similarity Search in Cabase.” IEEE/ACM Transactions of Computational Biology and Bioinformatics 11, no. 5 (2014): 878–90.' ieee: T. Krotzky, T. Fober, E. Hüllermeier, and G. Klebe, “Extended graph-based models for enhanced similarity search in Cabase,” IEEE/ACM Transactions of Computational Biology and Bioinformatics, vol. 11, no. 5, pp. 878–890, 2014. mla: Krotzky, T., et al. “Extended Graph-Based Models for Enhanced Similarity Search in Cabase.” IEEE/ACM Transactions of Computational Biology and Bioinformatics, vol. 11, no. 5, 2014, pp. 878–90. short: T. Krotzky, T. Fober, E. Hüllermeier, G. Klebe, IEEE/ACM Transactions of Computational Biology and Bioinformatics 11 (2014) 878–890. date_created: 2020-02-24T16:34:16Z date_updated: 2022-01-06T06:52:42Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 11' issue: '5' language: - iso: eng page: 878-890 publication: IEEE/ACM Transactions of Computational Biology and Bioinformatics status: public title: Extended graph-based models for enhanced similarity search in Cabase type: journal_article user_id: '49109' volume: 11 year: '2014' ... --- _id: '16064' author: - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Hüllermeier E. Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. International Journal of Approximate Reasoning. 2014;55(7):1519-1534.' apa: 'Hüllermeier, E. (2014). Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. International Journal of Approximate Reasoning, 55(7), 1519–1534.' bibtex: '@article{Hüllermeier_2014, title={Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization}, volume={55}, number={7}, journal={International Journal of Approximate Reasoning}, author={Hüllermeier, Eyke}, year={2014}, pages={1519–1534} }' chicago: 'Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” International Journal of Approximate Reasoning 55, no. 7 (2014): 1519–34.' ieee: 'E. Hüllermeier, “Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization,” International Journal of Approximate Reasoning, vol. 55, no. 7, pp. 1519–1534, 2014.' mla: 'Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” International Journal of Approximate Reasoning, vol. 55, no. 7, 2014, pp. 1519–34.' short: E. Hüllermeier, International Journal of Approximate Reasoning 55 (2014) 1519–1534. date_created: 2020-02-24T16:38:22Z date_updated: 2022-01-06T06:52:42Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 55' issue: '7' language: - iso: eng page: 1519-1534 publication: International Journal of Approximate Reasoning status: public title: 'Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization' type: journal_article user_id: '49109' volume: 55 year: '2014' ... --- _id: '16069' author: - first_name: Sascha full_name: Henzgen, Sascha last_name: Henzgen - first_name: M. full_name: Strickert, M. last_name: Strickert - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: Henzgen S, Strickert M, Hüllermeier E. Visualization of evolving fuzzy-rule-based systems. Evolving Systems. 2014;5:175-191. apa: Henzgen, S., Strickert, M., & Hüllermeier, E. (2014). Visualization of evolving fuzzy-rule-based systems. Evolving Systems, 5, 175–191. bibtex: '@article{Henzgen_Strickert_Hüllermeier_2014, title={Visualization of evolving fuzzy-rule-based systems}, volume={5}, journal={Evolving Systems}, author={Henzgen, Sascha and Strickert, M. and Hüllermeier, Eyke}, year={2014}, pages={175–191} }' chicago: 'Henzgen, Sascha, M. Strickert, and Eyke Hüllermeier. “Visualization of Evolving Fuzzy-Rule-Based Systems.” Evolving Systems 5 (2014): 175–91.' ieee: S. Henzgen, M. Strickert, and E. Hüllermeier, “Visualization of evolving fuzzy-rule-based systems,” Evolving Systems, vol. 5, pp. 175–191, 2014. mla: Henzgen, Sascha, et al. “Visualization of Evolving Fuzzy-Rule-Based Systems.” Evolving Systems, vol. 5, 2014, pp. 175–91. short: S. Henzgen, M. Strickert, E. Hüllermeier, Evolving Systems 5 (2014) 175–191. date_created: 2020-02-24T16:45:06Z date_updated: 2022-01-06T06:52:42Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 5' language: - iso: eng page: 175-191 publication: Evolving Systems status: public title: Visualization of evolving fuzzy-rule-based systems type: journal_article user_id: '49109' volume: 5 year: '2014' ... --- _id: '16077' author: - first_name: Robert full_name: Busa-Fekete, Robert last_name: Busa-Fekete - first_name: B. full_name: Szörenyi, B. last_name: Szörenyi - first_name: P. full_name: Weng, P. last_name: Weng - first_name: W. full_name: Cheng, W. last_name: Cheng - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Busa-Fekete R, Szörenyi B, Weng P, Cheng W, Hüllermeier E. Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm. Machine Learning. 2014;97(3):327-351.' apa: 'Busa-Fekete, R., Szörenyi, B., Weng, P., Cheng, W., & Hüllermeier, E. (2014). Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm. Machine Learning, 97(3), 327–351.' bibtex: '@article{Busa-Fekete_Szörenyi_Weng_Cheng_Hüllermeier_2014, title={Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm.}, volume={97}, number={3}, journal={Machine Learning}, author={Busa-Fekete, Robert and Szörenyi, B. and Weng, P. and Cheng, W. and Hüllermeier, Eyke}, year={2014}, pages={327–351} }' chicago: 'Busa-Fekete, Robert, B. Szörenyi, P. Weng, W. Cheng, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning: Evolutionary Direct Policy Search Using a Preference-Based Racing Algorithm.” Machine Learning 97, no. 3 (2014): 327–51.' ieee: 'R. Busa-Fekete, B. Szörenyi, P. Weng, W. Cheng, and E. Hüllermeier, “Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm.,” Machine Learning, vol. 97, no. 3, pp. 327–351, 2014.' mla: 'Busa-Fekete, Robert, et al. “Preference-Based Reinforcement Learning: Evolutionary Direct Policy Search Using a Preference-Based Racing Algorithm.” Machine Learning, vol. 97, no. 3, 2014, pp. 327–51.' short: R. Busa-Fekete, B. Szörenyi, P. Weng, W. Cheng, E. Hüllermeier, Machine Learning 97 (2014) 327–351. date_created: 2020-02-25T15:33:07Z date_updated: 2022-01-06T06:52:43Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 97' issue: '3' language: - iso: eng page: 327-351 publication: Machine Learning status: public title: 'Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm.' type: journal_article user_id: '49109' volume: 97 year: '2014' ... --- _id: '16078' author: - first_name: G. full_name: Krempl, G. last_name: Krempl - first_name: I. full_name: Zliobaite, I. last_name: Zliobaite - first_name: D. full_name: Brzezinski, D. last_name: Brzezinski - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: M. full_name: Last, M. last_name: Last - first_name: V. full_name: Lemaire, V. last_name: Lemaire - first_name: T. full_name: Noack, T. last_name: Noack - first_name: A. full_name: Shaker, A. last_name: Shaker - first_name: S. full_name: Sievi, S. last_name: Sievi - first_name: M. full_name: Spiliopoulou, M. last_name: Spiliopoulou - first_name: J. full_name: Stefanowski, J. last_name: Stefanowski citation: ama: Krempl G, Zliobaite I, Brzezinski D, et al. Open challenges for data stream mining research. SIGKDD Explorations. 2014;16(1):1-10. apa: Krempl, G., Zliobaite, I., Brzezinski, D., Hüllermeier, E., Last, M., Lemaire, V., … Stefanowski, J. (2014). Open challenges for data stream mining research. SIGKDD Explorations, 16(1), 1–10. bibtex: '@article{Krempl_Zliobaite_Brzezinski_Hüllermeier_Last_Lemaire_Noack_Shaker_Sievi_Spiliopoulou_et al._2014, title={Open challenges for data stream mining research}, volume={16}, number={1}, journal={SIGKDD Explorations}, author={Krempl, G. and Zliobaite, I. and Brzezinski, D. and Hüllermeier, Eyke and Last, M. and Lemaire, V. and Noack, T. and Shaker, A. and Sievi, S. and Spiliopoulou, M. and et al.}, year={2014}, pages={1–10} }' chicago: 'Krempl, G., I. Zliobaite, D. Brzezinski, Eyke Hüllermeier, M. Last, V. Lemaire, T. Noack, et al. “Open Challenges for Data Stream Mining Research.” SIGKDD Explorations 16, no. 1 (2014): 1–10.' ieee: G. Krempl et al., “Open challenges for data stream mining research,” SIGKDD Explorations, vol. 16, no. 1, pp. 1–10, 2014. mla: Krempl, G., et al. “Open Challenges for Data Stream Mining Research.” SIGKDD Explorations, vol. 16, no. 1, 2014, pp. 1–10. short: G. Krempl, I. Zliobaite, D. Brzezinski, E. Hüllermeier, M. Last, V. Lemaire, T. Noack, A. Shaker, S. Sievi, M. Spiliopoulou, J. Stefanowski, SIGKDD Explorations 16 (2014) 1–10. date_created: 2020-02-25T15:39:01Z date_updated: 2022-01-06T06:52:43Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 16' issue: '1' language: - iso: eng page: 1-10 publication: SIGKDD Explorations status: public title: Open challenges for data stream mining research type: journal_article user_id: '49109' volume: 16 year: '2014' ... --- _id: '16079' author: - first_name: M. full_name: Strickert, M. last_name: Strickert - first_name: K. full_name: Bunte, K. last_name: Bunte - first_name: F.M. full_name: Schleif, F.M. last_name: Schleif - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: Strickert M, Bunte K, Schleif FM, Hüllermeier E. Correlation-based embedding of pairwise score data. Neurocomputing. 2014;141:97-109. apa: Strickert, M., Bunte, K., Schleif, F. M., & Hüllermeier, E. (2014). Correlation-based embedding of pairwise score data. Neurocomputing, 141, 97–109. bibtex: '@article{Strickert_Bunte_Schleif_Hüllermeier_2014, title={Correlation-based embedding of pairwise score data}, volume={141}, journal={Neurocomputing}, author={Strickert, M. and Bunte, K. and Schleif, F.M. and Hüllermeier, Eyke}, year={2014}, pages={97–109} }' chicago: 'Strickert, M., K. Bunte, F.M. Schleif, and Eyke Hüllermeier. “Correlation-Based Embedding of Pairwise Score Data.” Neurocomputing 141 (2014): 97–109.' ieee: M. Strickert, K. Bunte, F. M. Schleif, and E. Hüllermeier, “Correlation-based embedding of pairwise score data,” Neurocomputing, vol. 141, pp. 97–109, 2014. mla: Strickert, M., et al. “Correlation-Based Embedding of Pairwise Score Data.” Neurocomputing, vol. 141, 2014, pp. 97–109. short: M. Strickert, K. Bunte, F.M. Schleif, E. Hüllermeier, Neurocomputing 141 (2014) 97–109. date_created: 2020-02-25T15:41:32Z date_updated: 2022-01-06T06:52:43Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 141' language: - iso: eng page: 97-109 publication: Neurocomputing status: public title: Correlation-based embedding of pairwise score data type: journal_article user_id: '49109' volume: 141 year: '2014' ... --- _id: '16080' author: - first_name: Ammar full_name: Shaker, Ammar last_name: Shaker - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Shaker A, Hüllermeier E. Survival analysis on data streams: Analyzing temporal events in dynamically changing environments. International Journal of Applied Mathematics and Computer Science. 2014;24(1):199-212.' apa: 'Shaker, A., & Hüllermeier, E. (2014). Survival analysis on data streams: Analyzing temporal events in dynamically changing environments. International Journal of Applied Mathematics and Computer Science, 24(1), 199–212.' bibtex: '@article{Shaker_Hüllermeier_2014, title={Survival analysis on data streams: Analyzing temporal events in dynamically changing environments}, volume={24}, number={1}, journal={International Journal of Applied Mathematics and Computer Science}, author={Shaker, Ammar and Hüllermeier, Eyke}, year={2014}, pages={199–212} }' chicago: 'Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams: Analyzing Temporal Events in Dynamically Changing Environments.” International Journal of Applied Mathematics and Computer Science 24, no. 1 (2014): 199–212.' ieee: 'A. Shaker and E. Hüllermeier, “Survival analysis on data streams: Analyzing temporal events in dynamically changing environments,” International Journal of Applied Mathematics and Computer Science, vol. 24, no. 1, pp. 199–212, 2014.' mla: 'Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams: Analyzing Temporal Events in Dynamically Changing Environments.” International Journal of Applied Mathematics and Computer Science, vol. 24, no. 1, 2014, pp. 199–212.' short: A. Shaker, E. Hüllermeier, International Journal of Applied Mathematics and Computer Science 24 (2014) 199–212. date_created: 2020-02-25T15:44:54Z date_updated: 2022-01-06T06:52:43Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 24' issue: '1' language: - iso: eng page: 199-212 publication: International Journal of Applied Mathematics and Computer Science status: public title: 'Survival analysis on data streams: Analyzing temporal events in dynamically changing environments' type: journal_article user_id: '49109' volume: 24 year: '2014' ...