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Blömer, N. Löken, in: 12th International Symposium on Foundations and Practice of Security, FPS 2019, Springer, 2019.","ama":"Blömer J, Löken N. Dynamic Searchable Encryption with Access Control. In: <i>12th International Symposium on Foundations and Practice of Security, FPS 2019</i>. Vol 12056. LNCS. Springer; 2019.","apa":"Blömer, J., &#38; Löken, N. (2019). Dynamic Searchable Encryption with Access Control. In <i>12th International Symposium on Foundations and Practice of Security, FPS 2019</i> (Vol. 12056). Springer.","ieee":"J. Blömer and N. Löken, “Dynamic Searchable Encryption with Access Control,” in <i>12th International Symposium on Foundations and Practice of Security, FPS 2019</i>, 2019, vol. 12056.","chicago":"Blömer, Johannes, and Nils Löken. “Dynamic Searchable Encryption with Access Control.” In <i>12th International Symposium on Foundations and Practice of Security, FPS 2019</i>, Vol. 12056. LNCS. Springer, 2019."},"series_title":"LNCS","intvolume":"     12056","abstract":[{"lang":"eng","text":"We present a searchable encryption scheme for dynamic document collections in a multi-user scenario. Our scheme features fine-grained access control to search results, as well as access control to operations such as adding documents to the document collection, or changing individual documents. The scheme features verifiability of search results. Our scheme also satisfies the forward privacy notion crucial for the security of dynamic searchable encryption schemes."}],"author":[{"last_name":"Blömer","id":"23","full_name":"Blömer, Johannes","first_name":"Johannes"},{"first_name":"Nils","full_name":"Löken, Nils","id":"13703","last_name":"Löken"}],"title":"Dynamic Searchable Encryption with Access Control"},{"_id":"13592","date_updated":"2022-01-06T06:51:40Z","date_created":"2019-10-03T12:30:24Z","publisher":"Universität Paderborn","type":"bachelorsthesis","year":"2019","language":[{"iso":"eng"}],"status":"public","citation":{"ieee":"M. Pilot, <i>Efficient Finite-Field Arithmetic for Elliptic Curve Cryptography in Java</i>. Universität Paderborn, 2019.","chicago":"Pilot, Matthias. <i>Efficient Finite-Field Arithmetic for Elliptic Curve Cryptography in Java</i>. Universität Paderborn, 2019.","ama":"Pilot M. <i>Efficient Finite-Field Arithmetic for Elliptic Curve Cryptography in Java</i>. 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Universität Paderborn, 2019."},"user_id":"477","department":[{"_id":"7"},{"_id":"64"}],"title":"Efficient Finite-Field Arithmetic for Elliptic Curve Cryptography in Java","author":[{"first_name":"Matthias","full_name":"Pilot, Matthias","last_name":"Pilot"}],"extern":"1","project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area C","_id":"4"},{"_id":"13","name":"SFB 901 - Subproject C1"}],"supervisor":[{"id":"23","last_name":"Blömer","first_name":"Johannes","full_name":"Blömer, Johannes"}]},{"user_id":"477","oa":"1","file":[{"creator":"jbobolz","file_size":1714805,"file_name":"sscholz-MA-thesis-final.pdf","content_type":"application/pdf","file_id":"16871","access_level":"open_access","date_created":"2020-04-27T10:32:00Z","relation":"main_file","date_updated":"2020-04-27T10:33:59Z"}],"extern":"1","title":"Implementation and Comparison of Elliptic Curve Algorithms in Java","has_accepted_license":"1","project":[{"name":"SFB 901","_id":"1"},{"_id":"4","name":"SFB 901 - Project Area C"},{"_id":"13","name":"SFB 901 - Subproject C1"}],"ddc":["000"],"type":"mastersthesis","citation":{"short":"S. Scholz, Implementation and Comparison of Elliptic Curve Algorithms in Java, Universität Paderborn, 2019.","bibtex":"@book{Scholz_2019, title={Implementation and Comparison of Elliptic Curve Algorithms in Java}, publisher={Universität Paderborn}, author={Scholz, Swante}, year={2019} }","mla":"Scholz, Swante. <i>Implementation and Comparison of Elliptic Curve Algorithms in Java</i>. Universität Paderborn, 2019.","ieee":"S. Scholz, <i>Implementation and Comparison of Elliptic Curve Algorithms in Java</i>. Universität Paderborn, 2019.","chicago":"Scholz, Swante. <i>Implementation and Comparison of Elliptic Curve Algorithms in Java</i>. Universität Paderborn, 2019.","apa":"Scholz, S. (2019). <i>Implementation and Comparison of Elliptic Curve Algorithms in Java</i>. Universität Paderborn.","ama":"Scholz S. <i>Implementation and Comparison of Elliptic Curve Algorithms in Java</i>. Universität Paderborn; 2019."},"department":[{"_id":"7"},{"_id":"64"}],"author":[{"last_name":"Scholz","first_name":"Swante","full_name":"Scholz, Swante"}],"supervisor":[{"last_name":"Blömer","id":"23","full_name":"Blömer, Johannes","first_name":"Johannes"}],"_id":"13648","file_date_updated":"2020-04-27T10:33:59Z","date_updated":"2022-01-06T06:51:41Z","publisher":"Universität Paderborn","date_created":"2019-10-07T09:56:58Z","status":"public","year":"2019","language":[{"iso":"eng"}]},{"user_id":"32229","citation":{"bibtex":"@inproceedings{Hinnenthal_Scheideler_Struijs_2019, title={Fast Distributed Algorithms for LP-Type Problems of Low Dimension}, DOI={<a href=\"https://doi.org/10.4230/LIPICS.DISC.2019.23\">10.4230/LIPICS.DISC.2019.23</a>}, booktitle={33rd International Symposium on Distributed Computing (DISC 2019)}, author={Hinnenthal, Kristian and Scheideler, Christian and Struijs, Martijn}, year={2019} }","mla":"Hinnenthal, Kristian, et al. “Fast Distributed Algorithms for LP-Type Problems of Low Dimension.” <i>33rd International Symposium on Distributed Computing (DISC 2019)</i>, 2019, doi:<a href=\"https://doi.org/10.4230/LIPICS.DISC.2019.23\">10.4230/LIPICS.DISC.2019.23</a>.","short":"K. 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(2019). <i>Classification and Approximation of Geometric Location Problems</i>. Paderborn. <a href=\"https://doi.org/10.17619/UNIPB/1-816\">https://doi.org/10.17619/UNIPB/1-816</a>","ama":"Brauer S. <i>Classification and Approximation of Geometric Location Problems</i>. Paderborn; 2019. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-816\">10.17619/UNIPB/1-816</a>","ieee":"S. Brauer, <i>Classification and Approximation of Geometric Location Problems</i>. Paderborn, 2019.","chicago":"Brauer, Sascha. <i>Classification and Approximation of Geometric Location Problems</i>. Paderborn, 2019. <a href=\"https://doi.org/10.17619/UNIPB/1-816\">https://doi.org/10.17619/UNIPB/1-816</a>.","bibtex":"@book{Brauer_2019, place={Paderborn}, title={Classification and Approximation of Geometric Location Problems}, DOI={<a href=\"https://doi.org/10.17619/UNIPB/1-816\">10.17619/UNIPB/1-816</a>}, author={Brauer, Sascha}, year={2019} }","mla":"Brauer, Sascha. <i>Classification and Approximation of Geometric Location Problems</i>. 2019, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-816\">10.17619/UNIPB/1-816</a>.","short":"S. Brauer, Classification and Approximation of Geometric Location Problems, Paderborn, 2019."},"user_id":"13291","place":"Paderborn","project":[{"_id":"45","name":"Soft-Clustering - Von Heuristiken zu Approximationsalgorithmen"}],"doi":"10.17619/UNIPB/1-816","supervisor":[{"id":"23","last_name":"Blömer","full_name":"Blömer, Johannes","first_name":"Johannes"}],"title":"Classification and Approximation of Geometric Location Problems","author":[{"id":"13291","last_name":"Brauer","full_name":"Brauer, Sascha","first_name":"Sascha"}]},{"citation":{"short":"P. Schubert, B. Hermann, E. Bodden, in: Proceedings of the 25th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2019), Held as Part of the European Joint Conferences on Theory and Practice of Software (ETAPS 2019), 2019, pp. 393–410.","mla":"Schubert, Philipp, et al. “PhASAR: An Inter-Procedural Static Analysis Framework for C/C++.” <i>Proceedings of the 25th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2019), Held as Part of the European Joint Conferences on Theory and Practice of Software (ETAPS 2019)</i>, vol. II, 2019, pp. 393–410, doi:<a href=\"https://doi.org/10.1007/978-3-030-17465-1_22\">10.1007/978-3-030-17465-1_22</a>.","bibtex":"@inproceedings{Schubert_Hermann_Bodden_2019, title={PhASAR: An Inter-Procedural Static Analysis Framework for C/C++}, volume={II}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-17465-1_22\">10.1007/978-3-030-17465-1_22</a>}, booktitle={Proceedings of the 25th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2019), Held as Part of the European Joint Conferences on Theory and Practice of Software (ETAPS 2019)}, author={Schubert, Philipp and Hermann, Ben and Bodden, Eric}, year={2019}, pages={393–410} }","chicago":"Schubert, Philipp, Ben Hermann, and Eric Bodden. “PhASAR: An Inter-Procedural Static Analysis Framework for C/C++.” In <i>Proceedings of the 25th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2019), Held as Part of the European Joint Conferences on Theory and Practice of Software (ETAPS 2019)</i>, II:393–410, 2019. <a href=\"https://doi.org/10.1007/978-3-030-17465-1_22\">https://doi.org/10.1007/978-3-030-17465-1_22</a>.","ieee":"P. 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An Approach for Mapping Periodic Real-Time Tasks to Reconfigurable Hardware. <i>2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)</i>. <a href=\"https://doi.org/10.1109/ipdpsw.2019.00027\">https://doi.org/10.1109/ipdpsw.2019.00027</a>","short":"Z. Guettatfi, M. Platzner, O. Kermia, A. Khouas, in: 2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), IEEE, 2019.","mla":"Guettatfi, Zakarya, et al. “An Approach for Mapping Periodic Real-Time Tasks to Reconfigurable Hardware.” <i>2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)</i>, IEEE, 2019, doi:<a href=\"https://doi.org/10.1109/ipdpsw.2019.00027\">10.1109/ipdpsw.2019.00027</a>.","bibtex":"@inproceedings{Guettatfi_Platzner_Kermia_Khouas_2019, title={An Approach for Mapping Periodic Real-Time Tasks to Reconfigurable Hardware}, DOI={<a href=\"https://doi.org/10.1109/ipdpsw.2019.00027\">10.1109/ipdpsw.2019.00027</a>}, booktitle={2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)}, publisher={IEEE}, author={Guettatfi, Zakarya and Platzner, Marco and Kermia, Omar and Khouas, Abdelhakim}, year={2019} }"},"publication_status":"published","user_id":"398","doi":"10.1109/ipdpsw.2019.00027","title":"An Approach for Mapping Periodic Real-Time Tasks to Reconfigurable Hardware","author":[{"last_name":"Guettatfi","full_name":"Guettatfi, Zakarya","first_name":"Zakarya"},{"id":"398","last_name":"Platzner","full_name":"Platzner, Marco","first_name":"Marco"},{"full_name":"Kermia, Omar","first_name":"Omar","last_name":"Kermia"},{"full_name":"Khouas, Abdelhakim","first_name":"Abdelhakim","last_name":"Khouas"}],"date_updated":"2022-05-05T07:43:29Z","_id":"31067","language":[{"iso":"eng"}],"type":"conference","year":"2019","status":"public","date_created":"2022-05-05T07:42:26Z","publication":"2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)","publisher":"IEEE"},{"conference":{"end_date":"2019-11-20","name":"ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives","location":"Lanarca","start_date":"2019-11-18"},"author":[{"orcid":"0000-0001-6600-6171","first_name":"Michael","full_name":"Schlichtig, Michael","last_name":"Schlichtig","id":"32312"},{"full_name":"Opel, Simone Anna","first_name":"Simone Anna","id":"72932","last_name":"Opel"},{"id":"32443","last_name":"Budde","first_name":"Lea","full_name":"Budde, Lea"},{"first_name":"Carsten","full_name":"Schulte, Carsten","last_name":"Schulte","id":"60311"}],"editor":[{"full_name":"Jasutė, Eglė","first_name":"Eglė","last_name":"Jasutė"},{"full_name":"Pozdniakov, Sergei","first_name":"Sergei","last_name":"Pozdniakov"}],"intvolume":"        12","citation":{"short":"M. Schlichtig, S.A. Opel, L. Budde, C. Schulte, in: E. Jasutė, S. Pozdniakov (Eds.), ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings, 2019, pp. 65–73.","chicago":"Schlichtig, Michael, Simone Anna Opel, Lea Budde, and Carsten Schulte. “Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material.” In <i>ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings</i>, edited by Eglė Jasutė and Sergei Pozdniakov, 12:65–73, 2019.","ieee":"M. Schlichtig, S. A. Opel, L. Budde, and C. Schulte, “Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material,” in <i>ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings</i>, Lanarca, 2019, vol. 12, pp. 65–73.","mla":"Schlichtig, Michael, et al. “Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material.” <i>ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings</i>, edited by Eglė Jasutė and Sergei Pozdniakov, vol. 12, 2019, pp. 65–73.","bibtex":"@inproceedings{Schlichtig_Opel_Budde_Schulte_2019, title={Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material}, volume={12}, booktitle={ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings}, author={Schlichtig, Michael and Opel, Simone Anna and Budde, Lea and Schulte, Carsten}, editor={Jasutė, Eglė and Pozdniakov, Sergei}, year={2019}, pages={65–73} }","ama":"Schlichtig M, Opel SA, Budde L, Schulte C. Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material. In: Jasutė E, Pozdniakov S, eds. <i>ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings</i>. Vol 12. ; 2019:65-73.","apa":"Schlichtig, M., Opel, S. A., Budde, L., &#38; Schulte, C. (2019). Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material. In E. Jasutė &#38; S. Pozdniakov (Eds.), <i>ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings</i> (Vol. 12, pp. 65–73)."},"publication_status":"published","department":[{"_id":"67"}],"date_created":"2019-12-16T17:50:08Z","language":[{"iso":"eng"}],"year":"2019","publication_identifier":{"isbn":["978-9925-553-27-3"]},"status":"public","_id":"15332","date_updated":"2022-07-26T11:41:41Z","title":"Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material","abstract":[{"text":"Artificial intelligence (AI) has the potential for far-reaching – in our opinion – irreversible changes.\r\nThey range from effects on the individual and society to new societal and social issues. The question arises\r\nas to how students can learn the basic functioning of AI systems, what areas of life and society are affected\r\nby these and – most important – how their own lives are affected by these changes. Therefore, we are developing and evaluating school materials for the German ”Science Year AI”. It can be used for students of all\r\nschool types from the seventh grade upwards and will be distributed to about 2000 schools in autumn with\r\nthe support of the Federal Ministry of Education and Research. The material deals with the following aspects\r\nof AI: Discussing everyday experiences with AI, how does machine learning work, historical development\r\nof AI concepts, difference between man and machine, future distribution of roles between man and machine,\r\nin which AI world do we want to live and how much AI would we like to have in our lives. Through an\r\naccompanying evaluation, high quality of the technical content and didactic preparation is achieved in order\r\nto guarantee the long-term applicability in the teaching context in the different age groups and school types.\r\nIn this paper, we describe the current state of the material development, the challenges arising, and the results\r\nof tests with different classes to date. We also present first ideas for evaluating the results.","lang":"eng"}],"main_file_link":[{"url":"http://cyprusconferences.org/issep2019/wp-content/uploads/2019/10/LocalISSEP-v5.pdf"}],"keyword":["Artificial Intelligence","Machine Learning","Teaching Material","Societal Aspects","Ethics. Social Aspects","Science Year","Simulation Game"],"user_id":"32312","publication":"ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings","quality_controlled":"1","type":"conference","page":"65 - 73","volume":12},{"date_updated":"2022-07-26T11:41:51Z","_id":"15643","page":"11:1-11:2","status":"public","language":[{"iso":"eng"}],"type":"conference","year":"2019","publisher":"ACM","date_created":"2020-01-28T10:28:37Z","quality_controlled":"1","publication":"WiPSCE","department":[{"_id":"67"}],"user_id":"32312","citation":{"bibtex":"@inproceedings{Opel_Schlichtig_Schulte_2019, title={Developing Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress)}, booktitle={WiPSCE}, publisher={ACM}, author={Opel, Simone Anna and Schlichtig, Michael and Schulte, Carsten}, year={2019}, pages={11:1-11:2} }","mla":"Opel, Simone Anna, et al. “Developing Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress).” <i>WiPSCE</i>, ACM, 2019, p. 11:1-11:2.","short":"S.A. Opel, M. Schlichtig, C. Schulte, in: WiPSCE, ACM, 2019, p. 11:1-11:2.","ama":"Opel SA, Schlichtig M, Schulte C. Developing Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress). In: <i>WiPSCE</i>. ACM; 2019:11:1-11:2.","apa":"Opel, S. A., Schlichtig, M., &#38; Schulte, C. (2019). Developing Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress). <i>WiPSCE</i>, 11:1-11:2.","ieee":"S. A. Opel, M. Schlichtig, and C. Schulte, “Developing Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress),” in <i>WiPSCE</i>, 2019, p. 11:1-11:2.","chicago":"Opel, Simone Anna, Michael Schlichtig, and Carsten Schulte. “Developing Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress).” In <i>WiPSCE</i>, 11:1-11:2. ACM, 2019."},"author":[{"first_name":"Simone Anna","full_name":"Opel, Simone Anna","last_name":"Opel","id":"72932"},{"orcid":"0000-0001-6600-6171","id":"32312","last_name":"Schlichtig","full_name":"Schlichtig, Michael","first_name":"Michael"},{"first_name":"Carsten","full_name":"Schulte, Carsten","last_name":"Schulte","id":"60311"}],"title":"Developing Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress)"},{"project":[{"name":"SFB 901: SFB 901","_id":"1"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901 - B1: SFB 901 - Subproject B1","_id":"9"}],"title":"Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition","author":[{"id":"82920","last_name":"Chen","first_name":"Wei-Fan","full_name":"Chen, Wei-Fan"},{"first_name":"Khalid","full_name":"Al-Khatib, Khalid","last_name":"Al-Khatib"},{"full_name":"Hagen, Matthias","first_name":"Matthias","last_name":"Hagen"},{"full_name":"Wachsmuth, Henning","first_name":"Henning","id":"3900","last_name":"Wachsmuth"},{"last_name":"Stein","first_name":"Benno","full_name":"Stein, Benno"}],"department":[{"_id":"600"},{"_id":"568"}],"citation":{"mla":"Chen, Wei-Fan, et al. “Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition.” <i>Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom</i>, 2019, pp. 76–82.","ama":"Chen W-F, Al-Khatib K, Hagen M, Wachsmuth H, Stein B. Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition. In: <i>Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom</i>. ; 2019:76-82.","bibtex":"@inproceedings{Chen_Al-Khatib_Hagen_Wachsmuth_Stein_2019, title={Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition}, booktitle={Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom}, author={Chen, Wei-Fan and Al-Khatib, Khalid and Hagen, Matthias and Wachsmuth, Henning and Stein, Benno}, year={2019}, pages={76–82} }","apa":"Chen, W.-F., Al-Khatib, K., Hagen, M., Wachsmuth, H., &#38; Stein, B. (2019). Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition. <i>Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom</i>, 76–82.","short":"W.-F. Chen, K. Al-Khatib, M. Hagen, H. Wachsmuth, B. Stein, in: Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom, 2019, pp. 76–82.","chicago":"Chen, Wei-Fan, Khalid Al-Khatib, Matthias Hagen, Henning Wachsmuth, and Benno Stein. “Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition.” In <i>Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom</i>, 76–82, 2019.","ieee":"W.-F. Chen, K. Al-Khatib, M. Hagen, H. Wachsmuth, and B. Stein, “Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition,” in <i>Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom</i>, 2019, pp. 76–82."},"main_file_link":[{"url":"https://www.aclweb.org/anthology/D19-5009.pdf"}],"user_id":"82920","language":[{"iso":"eng"}],"type":"conference","year":"2019","status":"public","date_created":"2019-09-17T14:42:43Z","publication":"Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom","date_updated":"2022-05-09T15:04:18Z","page":"76-82","_id":"13259"},{"user_id":"25078","oa":"1","main_file_link":[{"url":"https://eprint.iacr.org/2019/169.pdf","open_access":"1"}],"doi":"10.1145/3319535.3354223","has_accepted_license":"1","abstract":[{"lang":"eng","text":"In this paper, we introduce updatable anonymous credential systems (UACS) and use them to construct a new privacy-preserving incentive system. In a UACS, a user holding a credential certifying some attributes can interact with the corresponding issuer to update his attributes. During this, the issuer knows which update function is run, but does not learn the user's previous attributes. Hence the update process preserves anonymity of the user. One example for a class of update functions are additive updates of integer attributes, where the issuer increments an unknown integer attribute value v by some known value k. This kind of update is motivated by an application of UACS to incentive systems. Users in an incentive system can anonymously accumulate points, e.g. in a shop at checkout, and spend them later, e.g. for a discount."}],"project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - Subproject C1","_id":"13"}],"file":[{"creator":"jbobolz","file_size":838949,"file_name":"full_eprinted_v2.pdf","content_type":"application/pdf","file_id":"13907","access_level":"closed","date_created":"2019-10-18T08:07:49Z","date_updated":"2019-10-18T08:07:49Z","relation":"main_file"}],"title":"Updatable Anonymous Credentials and Applications to Incentive Systems","type":"conference","ddc":["006"],"publication":"Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security - CCS '19","department":[{"_id":"7"},{"_id":"64"}],"series_title":"Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security - CCS '19","citation":{"bibtex":"@inproceedings{Blömer_Bobolz_Diemert_Eidens_2019, series={Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security - CCS ’19}, title={Updatable Anonymous Credentials and Applications to Incentive Systems}, DOI={<a href=\"https://doi.org/10.1145/3319535.3354223\">10.1145/3319535.3354223</a>}, booktitle={Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security - CCS ’19}, author={Blömer, Johannes and Bobolz, Jan and Diemert, Denis Pascal and Eidens, Fabian}, year={2019}, collection={Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security - CCS ’19} }","mla":"Blömer, Johannes, et al. “Updatable Anonymous Credentials and Applications to Incentive Systems.” <i>Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security - CCS ’19</i>, 2019, doi:<a href=\"https://doi.org/10.1145/3319535.3354223\">10.1145/3319535.3354223</a>.","short":"J. Blömer, J. Bobolz, D.P. Diemert, F. Eidens, in: Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security - CCS ’19, 2019.","ama":"Blömer J, Bobolz J, Diemert DP, Eidens F. Updatable Anonymous Credentials and Applications to Incentive Systems. In: <i>Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security - CCS ’19</i>. Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security - CCS ’19. ; 2019. doi:<a href=\"https://doi.org/10.1145/3319535.3354223\">10.1145/3319535.3354223</a>","apa":"Blömer, J., Bobolz, J., Diemert, D. P., &#38; Eidens, F. (2019). Updatable Anonymous Credentials and Applications to Incentive Systems. <i>Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security - CCS ’19</i>. 26th ACM Conference on Computer and Communications Security, London. <a href=\"https://doi.org/10.1145/3319535.3354223\">https://doi.org/10.1145/3319535.3354223</a>","ieee":"J. Blömer, J. Bobolz, D. P. Diemert, and F. Eidens, “Updatable Anonymous Credentials and Applications to Incentive Systems,” presented at the 26th ACM Conference on Computer and Communications Security, London, 2019, doi: <a href=\"https://doi.org/10.1145/3319535.3354223\">10.1145/3319535.3354223</a>.","chicago":"Blömer, Johannes, Jan Bobolz, Denis Pascal Diemert, and Fabian Eidens. “Updatable Anonymous Credentials and Applications to Incentive Systems.” In <i>Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security - CCS ’19</i>. Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security - CCS ’19, 2019. <a href=\"https://doi.org/10.1145/3319535.3354223\">https://doi.org/10.1145/3319535.3354223</a>."},"author":[{"full_name":"Blömer, Johannes","first_name":"Johannes","id":"23","last_name":"Blömer"},{"id":"27207","last_name":"Bobolz","first_name":"Jan","full_name":"Bobolz, Jan"},{"full_name":"Diemert, Denis Pascal","first_name":"Denis Pascal","last_name":"Diemert","id":"44071"},{"last_name":"Eidens","id":"25078","first_name":"Fabian","full_name":"Eidens, Fabian"}],"conference":{"end_date":"2019-11-15","name":"26th ACM Conference on Computer and Communications Security","location":"London","start_date":"2019-11-11"},"date_updated":"2023-01-10T10:25:27Z","_id":"13904","file_date_updated":"2019-10-18T08:07:49Z","status":"public","year":"2019","language":[{"iso":"eng"}],"date_created":"2019-10-18T08:09:44Z"},{"type":"conference","publication":"Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO)","volume":11411,"page":"126–138","abstract":[{"lang":"eng","text":"This paper addresses multimodality of multi-objective (MO) optimization landscapes. Contrary to common perception of local optima, according to which they are hindering the progress of optimization algorithms, it will be shown that local efficient sets in a multi-objective setting can assist optimizers in finding global efficient sets. We use sophisticated visualization techniques, which rely on gradient field heatmaps, to highlight those insights into landscape characteristics. Finally, the MO local optimizer MOGSA is introduced, which exploits those observations by sliding down the multi-objective gradient hill and moving along the local efficient sets."}],"doi":"10.1007/978-3-030-12598-1_11","title":"Multimodality in Multi-Objective Optimization — More Boon than Bane?","user_id":"15504","status":"public","year":"2019","language":[{"iso":"eng"}],"publisher":"Springer","date_created":"2023-08-04T07:49:08Z","date_updated":"2023-10-16T13:31:03Z","_id":"46343","intvolume":"     11411","place":"East Lansing, MI, USA","author":[{"first_name":"Christian","full_name":"Grimme, Christian","last_name":"Grimme"},{"last_name":"Kerschke","full_name":"Kerschke, Pascal","first_name":"Pascal"},{"orcid":"0000-0002-9788-8282","id":"100740","last_name":"Trautmann","first_name":"Heike","full_name":"Trautmann, Heike"}],"editor":[{"first_name":"Kalyanmoy","full_name":"Deb, Kalyanmoy","last_name":"Deb"},{"last_name":"Goodman","full_name":"Goodman, Erik","first_name":"Erik"},{"first_name":"Coello Carlos A.","full_name":"Coello, Coello Carlos A.","last_name":"Coello"},{"first_name":"Kathrin","full_name":"Klamroth, Kathrin","last_name":"Klamroth"},{"full_name":"Miettinen, Kaisa","first_name":"Kaisa","last_name":"Miettinen"},{"last_name":"Mostaghim","first_name":"Sanaz","full_name":"Mostaghim, Sanaz"},{"first_name":"Patrick","full_name":"Reed, Patrick","last_name":"Reed"}],"department":[{"_id":"34"},{"_id":"819"}],"series_title":"Lecture Notes in Computer Science","citation":{"apa":"Grimme, C., Kerschke, P., &#38; Trautmann, H. (2019). Multimodality in Multi-Objective Optimization — More Boon than Bane? In K. Deb, E. Goodman, C. C. A. Coello, K. Klamroth, K. Miettinen, S. Mostaghim, &#38; P. Reed (Eds.), <i>Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO)</i> (Vol. 11411, pp. 126–138). Springer. <a href=\"https://doi.org/10.1007/978-3-030-12598-1_11\">https://doi.org/10.1007/978-3-030-12598-1_11</a>","ama":"Grimme C, Kerschke P, Trautmann H. Multimodality in Multi-Objective Optimization — More Boon than Bane? In: Deb K, Goodman E, Coello CCA, et al., eds. <i>Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO)</i>. Vol 11411. Lecture Notes in Computer Science. Springer; 2019:126–138. doi:<a href=\"https://doi.org/10.1007/978-3-030-12598-1_11\">10.1007/978-3-030-12598-1_11</a>","chicago":"Grimme, Christian, Pascal Kerschke, and Heike Trautmann. “Multimodality in Multi-Objective Optimization — More Boon than Bane?” In <i>Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO)</i>, edited by Kalyanmoy Deb, Erik Goodman, Coello Carlos A. Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, and Patrick Reed, 11411:126–138. Lecture Notes in Computer Science. East Lansing, MI, USA: Springer, 2019. <a href=\"https://doi.org/10.1007/978-3-030-12598-1_11\">https://doi.org/10.1007/978-3-030-12598-1_11</a>.","ieee":"C. Grimme, P. Kerschke, and H. Trautmann, “Multimodality in Multi-Objective Optimization — More Boon than Bane?,” in <i>Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO)</i>, 2019, vol. 11411, pp. 126–138, doi: <a href=\"https://doi.org/10.1007/978-3-030-12598-1_11\">10.1007/978-3-030-12598-1_11</a>.","mla":"Grimme, Christian, et al. “Multimodality in Multi-Objective Optimization — More Boon than Bane?” <i>Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO)</i>, edited by Kalyanmoy Deb et al., vol. 11411, Springer, 2019, pp. 126–138, doi:<a href=\"https://doi.org/10.1007/978-3-030-12598-1_11\">10.1007/978-3-030-12598-1_11</a>.","bibtex":"@inproceedings{Grimme_Kerschke_Trautmann_2019, place={East Lansing, MI, USA}, series={Lecture Notes in Computer Science}, title={Multimodality in Multi-Objective Optimization — More Boon than Bane?}, volume={11411}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-12598-1_11\">10.1007/978-3-030-12598-1_11</a>}, booktitle={Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO)}, publisher={Springer}, author={Grimme, Christian and Kerschke, Pascal and Trautmann, Heike}, editor={Deb, Kalyanmoy and Goodman, Erik and Coello, Coello Carlos A. and Klamroth, Kathrin and Miettinen, Kaisa and Mostaghim, Sanaz and Reed, Patrick}, year={2019}, pages={126–138}, collection={Lecture Notes in Computer Science} }","short":"C. Grimme, P. Kerschke, H. Trautmann, in: K. Deb, E. Goodman, C.C.A. Coello, K. Klamroth, K. Miettinen, S. Mostaghim, P. Reed (Eds.), Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO), Springer, East Lansing, MI, USA, 2019, pp. 126–138."}},{"issue":"1","date_updated":"2023-10-16T13:31:40Z","_id":"46345","page":"3–45","volume":27,"language":[{"iso":"eng"}],"type":"journal_article","year":"2019","status":"public","date_created":"2023-08-04T07:50:33Z","publication":"Evolutionary Computation (ECJ)","department":[{"_id":"34"},{"_id":"819"}],"citation":{"bibtex":"@article{Kerschke_Hoos_Neumann_Trautmann_2019, title={Automated Algorithm Selection: Survey and Perspectives}, volume={27}, DOI={<a href=\"https://doi.org/10.1162/evco_a_00242\">10.1162/evco_a_00242</a>}, number={1}, journal={Evolutionary Computation (ECJ)}, author={Kerschke, Pascal and Hoos, Holger H and Neumann, Frank and Trautmann, Heike}, year={2019}, pages={3–45} }","mla":"Kerschke, Pascal, et al. “Automated Algorithm Selection: Survey and Perspectives.” <i>Evolutionary Computation (ECJ)</i>, vol. 27, no. 1, 2019, pp. 3–45, doi:<a href=\"https://doi.org/10.1162/evco_a_00242\">10.1162/evco_a_00242</a>.","short":"P. Kerschke, H.H. Hoos, F. Neumann, H. Trautmann, Evolutionary Computation (ECJ) 27 (2019) 3–45.","apa":"Kerschke, P., Hoos, H. H., Neumann, F., &#38; Trautmann, H. (2019). Automated Algorithm Selection: Survey and Perspectives. <i>Evolutionary Computation (ECJ)</i>, <i>27</i>(1), 3–45. <a href=\"https://doi.org/10.1162/evco_a_00242\">https://doi.org/10.1162/evco_a_00242</a>","ama":"Kerschke P, Hoos HH, Neumann F, Trautmann H. Automated Algorithm Selection: Survey and Perspectives. <i>Evolutionary Computation (ECJ)</i>. 2019;27(1):3–45. doi:<a href=\"https://doi.org/10.1162/evco_a_00242\">10.1162/evco_a_00242</a>","ieee":"P. Kerschke, H. H. Hoos, F. Neumann, and H. Trautmann, “Automated Algorithm Selection: Survey and Perspectives,” <i>Evolutionary Computation (ECJ)</i>, vol. 27, no. 1, pp. 3–45, 2019, doi: <a href=\"https://doi.org/10.1162/evco_a_00242\">10.1162/evco_a_00242</a>.","chicago":"Kerschke, Pascal, Holger H Hoos, Frank Neumann, and Heike Trautmann. “Automated Algorithm Selection: Survey and Perspectives.” <i>Evolutionary Computation (ECJ)</i> 27, no. 1 (2019): 3–45. <a href=\"https://doi.org/10.1162/evco_a_00242\">https://doi.org/10.1162/evco_a_00242</a>."},"user_id":"15504","intvolume":"        27","abstract":[{"lang":"eng","text":"It has long been observed that for practically any computational problem that has been intensely studied, different instances are best solved using different algorithms. This is particularly pronounced for computationally hard problems, where in most cases, no single algorithm defines the state of the art; instead, there is a set of algorithms with complementary strengths. This performance complementarity can be exploited in various ways, one of which is based on the idea of selecting, from a set of given algorithms, for each problem instance to be solved the one expected to perform best. The task of automatically selecting an algorithm from a given set is known as the per-instance algorithm selection problem and has been intensely studied over the past 15 years, leading to major improvements in the state of the art in solving a growing number of discrete combinatorial problems, including propositional satisfiability and AI planning. Per-instance algorithm selection also shows much promise for boosting performance in solving continuous and mixed discrete/continuous optimisation problems. This survey provides an overview of research in automated algorithm selection, ranging from early and seminal works to recent and promising application areas. Different from earlier work, it covers applications to discrete and continuous problems, and discusses algorithm selection in context with conceptually related approaches, such as algorithm configuration, scheduling, or portfolio selection. Since informative and cheaply computable problem instance features provide the basis for effective per-instance algorithm selection systems, we also provide an overview of such features for discrete and continuous problems. Finally, we provide perspectives on future work in the area and discuss a number of open research challenges."}],"doi":"10.1162/evco_a_00242","title":"Automated Algorithm Selection: Survey and Perspectives","author":[{"full_name":"Kerschke, Pascal","first_name":"Pascal","last_name":"Kerschke"},{"first_name":"Holger H","full_name":"Hoos, Holger H","last_name":"Hoos"},{"first_name":"Frank","full_name":"Neumann, Frank","last_name":"Neumann"},{"last_name":"Trautmann","id":"100740","first_name":"Heike","full_name":"Trautmann, Heike","orcid":"0000-0002-9788-8282"}]},{"publication":"Business and Information Systems Engineering (BISE)","date_created":"2023-08-04T07:49:47Z","status":"public","year":"2019","type":"journal_article","language":[{"iso":"eng"}],"volume":61,"page":"277–297","_id":"46344","date_updated":"2023-10-16T13:31:21Z","issue":"3","author":[{"last_name":"Carnein","full_name":"Carnein, Matthias","first_name":"Matthias"},{"last_name":"Trautmann","id":"100740","first_name":"Heike","full_name":"Trautmann, Heike","orcid":"0000-0002-9788-8282"}],"title":"Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms","abstract":[{"text":"Analyzing data streams has received considerable attention over the past decades due to the widespread usage of sensors, social media and other streaming data sources. A core research area in this field is stream clustering which aims to recognize patterns in an unordered, infinite and evolving stream of observations. Clustering can be a crucial support in decision making, since it aims for an optimized aggregated representation of a continuous data stream over time and allows to identify patterns in large and high-dimensional data. A multitude of algorithms and approaches has been developed that are able to find and maintain clusters over time in the challenging streaming scenario. This survey explores, summarizes and categorizes a total of 51 stream clustering algorithms and identifies core research threads over the past decades. In particular, it identifies categories of algorithms based on distance thresholds, density grids and statistical models as well as algorithms for high dimensional data. Furthermore, it discusses applications scenarios, available software and how to configure stream clustering algorithms. This survey is considerably more extensive than comparable studies, more up-to-date and highlights how concepts are interrelated and have been developed over time.","lang":"eng"}],"intvolume":"        61","user_id":"15504","citation":{"ama":"Carnein M, Trautmann H. Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms. <i>Business and Information Systems Engineering (BISE)</i>. 2019;61(3):277–297.","apa":"Carnein, M., &#38; Trautmann, H. (2019). Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms. <i>Business and Information Systems Engineering (BISE)</i>, <i>61</i>(3), 277–297.","ieee":"M. Carnein and H. Trautmann, “Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms,” <i>Business and Information Systems Engineering (BISE)</i>, vol. 61, no. 3, pp. 277–297, 2019.","chicago":"Carnein, Matthias, and Heike Trautmann. “Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms.” <i>Business and Information Systems Engineering (BISE)</i> 61, no. 3 (2019): 277–297.","bibtex":"@article{Carnein_Trautmann_2019, title={Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms}, volume={61}, number={3}, journal={Business and Information Systems Engineering (BISE)}, author={Carnein, Matthias and Trautmann, Heike}, year={2019}, pages={277–297} }","mla":"Carnein, Matthias, and Heike Trautmann. “Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms.” <i>Business and Information Systems Engineering (BISE)</i>, vol. 61, no. 3, 2019, pp. 277–297.","short":"M. Carnein, H. Trautmann, Business and Information Systems Engineering (BISE) 61 (2019) 277–297."},"department":[{"_id":"34"},{"_id":"819"}]},{"citation":{"bibtex":"@inproceedings{Carnein_Homann_Trautmann_Vossen_2019, place={Moscow, Russia}, title={A Recommender System Based on Omni-Channel Customer Data}, booktitle={Proceedings of the 21$^st$ IEEE Conference on Business Informatics (CBI’ 19)}, author={Carnein, Matthias and Homann, Leschek and Trautmann, Heike and Vossen, Gottfried}, year={2019}, pages={65–74} }","mla":"Carnein, Matthias, et al. “A Recommender System Based on Omni-Channel Customer Data.” <i>Proceedings of the 21$^st$ IEEE Conference on Business Informatics (CBI’ 19)</i>, 2019, pp. 65–74.","short":"M. Carnein, L. Homann, H. Trautmann, G. Vossen, in: Proceedings of the 21$^st$ IEEE Conference on Business Informatics (CBI’ 19), Moscow, Russia, 2019, pp. 65–74.","apa":"Carnein, M., Homann, L., Trautmann, H., &#38; Vossen, G. (2019). A Recommender System Based on Omni-Channel Customer Data. <i>Proceedings of the 21$^st$ IEEE Conference on Business Informatics (CBI’ 19)</i>, 65–74.","ama":"Carnein M, Homann L, Trautmann H, Vossen G. A Recommender System Based on Omni-Channel Customer Data. In: <i>Proceedings of the 21$^st$ IEEE Conference on Business Informatics (CBI’ 19)</i>. ; 2019:65–74.","ieee":"M. Carnein, L. Homann, H. Trautmann, and G. Vossen, “A Recommender System Based on Omni-Channel Customer Data,” in <i>Proceedings of the 21$^st$ IEEE Conference on Business Informatics (CBI’ 19)</i>, 2019, pp. 65–74.","chicago":"Carnein, Matthias, Leschek Homann, Heike Trautmann, and Gottfried Vossen. “A Recommender System Based on Omni-Channel Customer Data.” In <i>Proceedings of the 21$^st$ IEEE Conference on Business Informatics (CBI’ 19)</i>, 65–74. Moscow, Russia, 2019."},"user_id":"15504","department":[{"_id":"34"},{"_id":"819"}],"title":"A Recommender System Based on Omni-Channel Customer Data","author":[{"last_name":"Carnein","full_name":"Carnein, Matthias","first_name":"Matthias"},{"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"},{"last_name":"Vossen","full_name":"Vossen, Gottfried","first_name":"Gottfried"}],"place":"Moscow, Russia","abstract":[{"lang":"eng","text":"Recommender systems aim to provide personalized suggestions to customers which products to buy or services to consume. They can help to increase sales by helping customers discover new and relevant products. Traditionally, recommender systems use the purchase history of a customer, e.g., the purchased quantity or properties of the items. While this allows to build personalized recommendations, it is a very limited view of the problem. Nowadays, extensive information about customers and their personal preferences is available which goes far beyond their purchase behaviour. For example, customers reveal their preferences in social media, by their browsing habits and online search behaviour or their interest in specific newsletters. In this paper, we investigate how information from different sources and channels can be collected and incorporated into the recommendation process. We demonstrate this, based on a real-life case study of a retailer with several million transactions. We discuss how to employ a recommender system in this scenario, evaluate various recommendation strategies and describe how to incorporate information from different sources and channels, both internal and external. Our results show that the recommendations can be better tailored to the personal preferences of customers."}],"_id":"46340","page":"65–74","date_updated":"2023-10-16T13:29:53Z","date_created":"2023-08-04T07:46:20Z","publication":"Proceedings of the 21$^st$ IEEE Conference on Business Informatics (CBI’ 19)","language":[{"iso":"eng"}],"year":"2019","type":"conference","status":"public"},{"place":"Macau, China","abstract":[{"lang":"eng","text":"Customer Segmentation aims to identify groups of customers that share similar interest or behaviour. It is an essential tool in marketing and can be used to target customer segments with tailored marketing strategies. Customer segmentation is often based on clustering techniques. This analysis is typically performed as a snapshot analysis where segments are identified at a specific point in time. However, this ignores the fact that customer segments are highly volatile and segments change over time. Once segments change, the entire analysis needs to be repeated and strategies adapted. In this paper we explore stream clustering as a tool to alleviate this problem. We propose a new stream clustering algorithm which allows to identify and track customer segments over time. The biggest challenge is that customer segmentation often relies on the transaction history of a customer. Since this data changes over time, it is necessary to update customers which have already been incorporated into the clustering. We show how to perform this step incrementally, without the need for periodic re-computations. As a result, customer segmentation can be performed continuously, faster and is more scalable. We demonstrate the performance of our algorithm using a large real-life case study."}],"title":"Customer Segmentation Based on Transactional Data Using Stream Clustering","author":[{"first_name":"Matthias","full_name":"Carnein, Matthias","last_name":"Carnein"},{"orcid":"0000-0002-9788-8282","first_name":"Heike","full_name":"Trautmann, Heike","id":"100740","last_name":"Trautmann"}],"department":[{"_id":"34"},{"_id":"819"}],"citation":{"ama":"Carnein M, Trautmann H. Customer Segmentation Based on Transactional Data Using Stream Clustering. In: <i>Proceedings of the 23$^rd$ Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD ’19)</i>. ; 2019:280–292.","apa":"Carnein, M., &#38; Trautmann, H. (2019). Customer Segmentation Based on Transactional Data Using Stream Clustering. <i>Proceedings of the 23$^rd$ Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD ’19)</i>, 280–292.","ieee":"M. Carnein and H. Trautmann, “Customer Segmentation Based on Transactional Data Using Stream Clustering,” in <i>Proceedings of the 23$^rd$ Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD ’19)</i>, 2019, pp. 280–292.","chicago":"Carnein, Matthias, and Heike Trautmann. “Customer Segmentation Based on Transactional Data Using Stream Clustering.” In <i>Proceedings of the 23$^rd$ Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD ’19)</i>, 280–292. Macau, China, 2019.","bibtex":"@inproceedings{Carnein_Trautmann_2019, place={Macau, China}, title={Customer Segmentation Based on Transactional Data Using Stream Clustering}, booktitle={Proceedings of the 23$^rd$ Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD ’19)}, author={Carnein, Matthias and Trautmann, Heike}, year={2019}, pages={280–292} }","mla":"Carnein, Matthias, and Heike Trautmann. “Customer Segmentation Based on Transactional Data Using Stream Clustering.” <i>Proceedings of the 23$^rd$ Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD ’19)</i>, 2019, pp. 280–292.","short":"M. Carnein, H. Trautmann, in: Proceedings of the 23$^rd$ Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD ’19), Macau, China, 2019, pp. 280–292."},"user_id":"15504","year":"2019","type":"conference","language":[{"iso":"eng"}],"status":"public","publication":"Proceedings of the 23$^rd$ Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD ’19)","date_created":"2023-08-04T07:47:20Z","date_updated":"2023-10-16T13:30:10Z","_id":"46341","page":"280–292"},{"date_updated":"2023-10-16T13:30:43Z","page":"020052-1-020052-4","_id":"46342","language":[{"iso":"eng"}],"type":"conference","year":"2019","status":"public","date_created":"2023-08-04T07:48:15Z","publication":"AIP Conference Proceedings","publisher":"AIP Publishing","department":[{"_id":"34"},{"_id":"819"}],"citation":{"ama":"Grimme C, Kerschke P, Emmerich MTM, Preuss M, Deutz AH, Trautmann H. Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization. In: <i>AIP Conference Proceedings</i>. AIP Publishing; 2019:020052-1-020052-020054. doi:<a href=\"https://doi.org/10.1063/1.5090019\">10.1063/1.5090019</a>","apa":"Grimme, C., Kerschke, P., Emmerich, M. T. M., Preuss, M., Deutz, A. H., &#38; Trautmann, H. (2019). Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization. <i>AIP Conference Proceedings</i>, 020052-1-020052–020054. <a href=\"https://doi.org/10.1063/1.5090019\">https://doi.org/10.1063/1.5090019</a>","ieee":"C. Grimme, P. Kerschke, M. T. M. Emmerich, M. Preuss, A. H. Deutz, and H. Trautmann, “Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization,” in <i>AIP Conference Proceedings</i>, 2019, pp. 020052-1-020052–4, doi: <a href=\"https://doi.org/10.1063/1.5090019\">10.1063/1.5090019</a>.","chicago":"Grimme, Christian, Pascal Kerschke, Michael T M Emmerich, Mike Preuss, André H Deutz, and Heike Trautmann. “Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization.” In <i>AIP Conference Proceedings</i>, 020052-1-020052–54. Leiden, The Netherlands: AIP Publishing, 2019. <a href=\"https://doi.org/10.1063/1.5090019\">https://doi.org/10.1063/1.5090019</a>.","bibtex":"@inproceedings{Grimme_Kerschke_Emmerich_Preuss_Deutz_Trautmann_2019, place={Leiden, The Netherlands}, title={Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization}, DOI={<a href=\"https://doi.org/10.1063/1.5090019\">10.1063/1.5090019</a>}, booktitle={AIP Conference Proceedings}, publisher={AIP Publishing}, author={Grimme, Christian and Kerschke, Pascal and Emmerich, Michael T M and Preuss, Mike and Deutz, André H and Trautmann, Heike}, year={2019}, pages={020052-1-020052–4} }","mla":"Grimme, Christian, et al. “Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization.” <i>AIP Conference Proceedings</i>, AIP Publishing, 2019, pp. 020052-1-020052–54, doi:<a href=\"https://doi.org/10.1063/1.5090019\">10.1063/1.5090019</a>.","short":"C. Grimme, P. Kerschke, M.T.M. Emmerich, M. Preuss, A.H. Deutz, H. Trautmann, in: AIP Conference Proceedings, AIP Publishing, Leiden, The Netherlands, 2019, pp. 020052-1-020052–4."},"user_id":"15504","place":"Leiden, The Netherlands","abstract":[{"lang":"eng","text":"There is a range of phenomena in continuous, global multi-objective optimization, that cannot occur in single-objective optimization. For instance, in some multi-objective optimization problems it is possible to follow continuous paths of gradients of straightforward weighted scalarization functions, starting from locally efficient solutions, in order to reach globally Pareto optimal solutions. This paper seeks to better characterize multimodal multi-objective landscapes and to better understand the transitions from local optima to global optima in simple, path-oriented search procedures."}],"doi":"10.1063/1.5090019","title":"Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization","author":[{"last_name":"Grimme","full_name":"Grimme, Christian","first_name":"Christian"},{"full_name":"Kerschke, Pascal","first_name":"Pascal","last_name":"Kerschke"},{"last_name":"Emmerich","first_name":"Michael T M","full_name":"Emmerich, Michael T M"},{"last_name":"Preuss","first_name":"Mike","full_name":"Preuss, Mike"},{"last_name":"Deutz","first_name":"André H","full_name":"Deutz, André H"},{"orcid":"0000-0002-9788-8282","first_name":"Heike","full_name":"Trautmann, Heike","id":"100740","last_name":"Trautmann"}]},{"date_updated":"2023-10-16T13:08:22Z","page":"93–123","_id":"46336","status":"public","year":"2019","type":"book_chapter","language":[{"iso":"eng"}],"publisher":"Springer","publication":"Applications in Statistical Computing","date_created":"2023-08-04T07:43:30Z","department":[{"_id":"34"},{"_id":"819"}],"user_id":"15504","citation":{"ama":"Kerschke P, Trautmann H. Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-package flacco. In: Bauer N, Ickstadt K, Lübke K, Szepannek G, Trautmann H, Vichi M, eds. <i>Applications in Statistical Computing</i>. Springer; 2019:93–123. doi:<a href=\"https://doi.org/10.1007/978-3-030-25147-5_7\">10.1007/978-3-030-25147-5_7</a>","apa":"Kerschke, P., &#38; Trautmann, H. (2019). Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-package flacco. In N. Bauer, K. Ickstadt, K. Lübke, G. Szepannek, H. Trautmann, &#38; M. Vichi (Eds.), <i>Applications in Statistical Computing</i> (pp. 93–123). Springer. <a href=\"https://doi.org/10.1007/978-3-030-25147-5_7\">https://doi.org/10.1007/978-3-030-25147-5_7</a>","chicago":"Kerschke, Pascal, and Heike Trautmann. “Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package Flacco.” In <i>Applications in Statistical Computing</i>, edited by Nadja Bauer, Katja Ickstadt, Karsten Lübke, Gero Szepannek, Heike Trautmann, and Maurizio Vichi, 93–123. Springer, 2019. <a href=\"https://doi.org/10.1007/978-3-030-25147-5_7\">https://doi.org/10.1007/978-3-030-25147-5_7</a>.","ieee":"P. Kerschke and H. Trautmann, “Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-package flacco,” in <i>Applications in Statistical Computing</i>, N. Bauer, K. Ickstadt, K. Lübke, G. Szepannek, H. Trautmann, and M. Vichi, Eds. Springer, 2019, pp. 93–123.","mla":"Kerschke, Pascal, and Heike Trautmann. “Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package Flacco.” <i>Applications in Statistical Computing</i>, edited by Nadja Bauer et al., Springer, 2019, pp. 93–123, doi:<a href=\"https://doi.org/10.1007/978-3-030-25147-5_7\">10.1007/978-3-030-25147-5_7</a>.","bibtex":"@inbook{Kerschke_Trautmann_2019, title={Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-package flacco}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-25147-5_7\">10.1007/978-3-030-25147-5_7</a>}, booktitle={Applications in Statistical Computing}, publisher={Springer}, author={Kerschke, Pascal and Trautmann, Heike}, editor={Bauer, Nadja and Ickstadt, Katja and Lübke, Karsten and Szepannek, Gero and Trautmann, Heike and Vichi, Maurizio}, year={2019}, pages={93–123} }","short":"P. Kerschke, H. Trautmann, in: N. Bauer, K. Ickstadt, K. Lübke, G. Szepannek, H. Trautmann, M. Vichi (Eds.), Applications in Statistical Computing, Springer, 2019, pp. 93–123."},"abstract":[{"lang":"eng","text":"Choosing the best-performing optimizer(s) out of a portfolio of optimization algorithms is usually a difficult and complex task. It gets even worse, if the underlying functions are unknown, i.e., so-called black-box problems, and function evaluations are considered to be expensive. In case of continuous single-objective optimization problems, exploratory landscape analysis (ELA), a sophisticated and effective approach for characterizing the landscapes of such problems by means of numerical values before actually performing the optimization task itself, is advantageous. Unfortunately, until now it has been quite complicated to compute multiple ELA features simultaneously, as the corresponding code has been—if at all—spread across multiple platforms or at least across several packages within these platforms. This article presents a broad summary of existing ELA approaches and introduces flacco, an R-package for feature-based landscape analysis of continuous and constrained optimization problems. Although its functions neither solve the optimization problem itself nor the related algorithm selection problem (ASP), it offers easy access to an essential ingredient of the ASP by providing a wide collection of ELA features on a single platform—even within a single package. In addition, flacco provides multiple visualization techniques, which enhance the understanding of some of these numerical features, and thereby make certain landscape properties more comprehensible. On top of that, we will introduce the package’s built-in, as well as web-hosted and hence platform-independent, graphical user interface (GUI). It facilitates the usage of the package—especially for people who are not familiar with R—and thus makes flacco a very convenient toolbox when working towards algorithm selection of continuous single-objective optimization problems."}],"doi":"10.1007/978-3-030-25147-5_7","editor":[{"last_name":"Bauer","first_name":"Nadja","full_name":"Bauer, Nadja"},{"first_name":"Katja","full_name":"Ickstadt, Katja","last_name":"Ickstadt"},{"full_name":"Lübke, Karsten","first_name":"Karsten","last_name":"Lübke"},{"first_name":"Gero","full_name":"Szepannek, Gero","last_name":"Szepannek"},{"full_name":"Trautmann, Heike","first_name":"Heike","last_name":"Trautmann"},{"last_name":"Vichi","first_name":"Maurizio","full_name":"Vichi, Maurizio"}],"author":[{"full_name":"Kerschke, Pascal","first_name":"Pascal","last_name":"Kerschke"},{"first_name":"Heike","full_name":"Trautmann, Heike","id":"100740","last_name":"Trautmann","orcid":"0000-0002-9788-8282"}],"title":"Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-package flacco"},{"citation":{"bibtex":"@book{Trautmann_2019, series={Studies in Classification, Data Analysis, and Knowledge Organization}, title={Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement}, publisher={Springer International Publishing}, author={Trautmann, Heike}, year={2019}, collection={Studies in Classification, Data Analysis, and Knowledge Organization} }","mla":"Trautmann, Heike. <i>Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement</i>. Springer International Publishing, 2019.","short":"H. Trautmann, Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement, Springer International Publishing, 2019.","ama":"Trautmann H. <i>Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement</i>. Springer International Publishing; 2019.","apa":"Trautmann, H. (2019). <i>Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement</i>. Springer International Publishing.","ieee":"H. Trautmann, <i>Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement</i>. Springer International Publishing, 2019.","chicago":"Trautmann, Heike. <i>Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement</i>. Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing, 2019."},"series_title":"Studies in Classification, Data Analysis, and Knowledge Organization","user_id":"15504","department":[{"_id":"34"},{"_id":"819"}],"title":"Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement","author":[{"last_name":"Trautmann","id":"100740","full_name":"Trautmann, Heike","first_name":"Heike","orcid":"0000-0002-9788-8282"}],"_id":"46335","date_updated":"2023-10-16T13:07:21Z","date_created":"2023-08-04T07:43:09Z","publisher":"Springer International Publishing","language":[{"iso":"eng"}],"publication_identifier":{"isbn":["978-3-030-25147-5"]},"year":"2019","type":"book","status":"public"},{"abstract":[{"text":"In this article, we build upon previous work on designing informative and efficient Exploratory Landscape Analysis features for characterizing problems' landscapes and show their effectiveness in automatically constructing algorithm selection models in continuous black-box optimization problems. Focusing on algorithm performance results of the COCO platform of several years, we construct a representative set of high-performing complementary solvers and present an algorithm selection model that, compared to the portfolio's single best solver, on average requires less than half of the resources for solving a given problem. Therefore, there is a huge gain in efficiency compared to classical ensemble methods combined with an increased insight into problem characteristics and algorithm properties by using informative features. The model acts on the assumption that the function set of the Black-Box Optimization Benchmark is representative enough for practical applications. The model allows for selecting the best suited optimization algorithm within the considered set for unseen problems prior to the optimization itself based on a small sample of function evaluations. Note that such a sample can even be reused for the initial population of an evolutionary (optimization) algorithm so that even the feature costs become negligible.","lang":"eng"}],"doi":"10.1162/evco_a_00236","intvolume":"        27","author":[{"full_name":"Kerschke, Pascal","first_name":"Pascal","last_name":"Kerschke"},{"last_name":"Trautmann","id":"100740","full_name":"Trautmann, Heike","first_name":"Heike","orcid":"0000-0002-9788-8282"}],"title":"Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning","department":[{"_id":"34"},{"_id":"819"}],"user_id":"15504","citation":{"bibtex":"@article{Kerschke_Trautmann_2019, title={Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning}, volume={27}, DOI={<a href=\"https://doi.org/10.1162/evco_a_00236\">10.1162/evco_a_00236</a>}, number={1}, journal={Evolutionary Computation (ECJ)}, author={Kerschke, Pascal and Trautmann, Heike}, year={2019}, pages={99–127} }","mla":"Kerschke, Pascal, and Heike Trautmann. “Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning.” <i>Evolutionary Computation (ECJ)</i>, vol. 27, no. 1, 2019, pp. 99–127, doi:<a href=\"https://doi.org/10.1162/evco_a_00236\">10.1162/evco_a_00236</a>.","short":"P. Kerschke, H. Trautmann, Evolutionary Computation (ECJ) 27 (2019) 99–127.","ama":"Kerschke P, Trautmann H. Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning. <i>Evolutionary Computation (ECJ)</i>. 2019;27(1):99–127. doi:<a href=\"https://doi.org/10.1162/evco_a_00236\">10.1162/evco_a_00236</a>","apa":"Kerschke, P., &#38; Trautmann, H. (2019). Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning. <i>Evolutionary Computation (ECJ)</i>, <i>27</i>(1), 99–127. <a href=\"https://doi.org/10.1162/evco_a_00236\">https://doi.org/10.1162/evco_a_00236</a>","ieee":"P. Kerschke and H. Trautmann, “Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning,” <i>Evolutionary Computation (ECJ)</i>, vol. 27, no. 1, pp. 99–127, 2019, doi: <a href=\"https://doi.org/10.1162/evco_a_00236\">10.1162/evco_a_00236</a>.","chicago":"Kerschke, Pascal, and Heike Trautmann. “Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning.” <i>Evolutionary Computation (ECJ)</i> 27, no. 1 (2019): 99–127. <a href=\"https://doi.org/10.1162/evco_a_00236\">https://doi.org/10.1162/evco_a_00236</a>."},"status":"public","language":[{"iso":"eng"}],"year":"2019","type":"journal_article","date_created":"2023-08-04T07:51:18Z","publication":"Evolutionary Computation (ECJ)","issue":"1","date_updated":"2023-10-16T13:31:57Z","volume":27,"page":"99–127","_id":"46346"}]