[{"date_updated":"2022-01-06T06:50:31Z","author":[{"full_name":"Melnikov, Vitaly","last_name":"Melnikov","first_name":"Vitaly"},{"id":"48129","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","first_name":"Eyke"}],"title":"Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics","year":"2017","status":"public","user_id":"49109","language":[{"iso":"eng"}],"_id":"10213","page":"1-12","citation":{"bibtex":"@inproceedings{Melnikov_Hüllermeier_2017, title={Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics}, booktitle={Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017}, author={Melnikov, Vitaly and Hüllermeier, Eyke}, year={2017}, pages={1–12} }","ama":"Melnikov V, Hüllermeier E. Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics. In: <i>Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017</i>. ; 2017:1-12.","mla":"Melnikov, Vitaly, and Eyke Hüllermeier. “Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics.” <i>Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017</i>, 2017, pp. 1–12.","short":"V. Melnikov, E. Hüllermeier, in: Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017, 2017, pp. 1–12.","chicago":"Melnikov, Vitaly, and Eyke Hüllermeier. “Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics.” In <i>Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017</i>, 1–12, 2017.","ieee":"V. Melnikov and E. Hüllermeier, “Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics,” in <i>Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017</i>, 2017, pp. 1–12.","apa":"Melnikov, V., &#38; Hüllermeier, E. (2017). Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics. In <i>Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017</i> (pp. 1–12)."},"publication":"Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"type":"conference","date_created":"2019-06-07T15:49:36Z"},{"citation":{"apa":"Shaker, A., Heldt, W., &#38; Hüllermeier, E. (2017). Learning TSK Fuzzy Rules from Data Streams. In <i>Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia</i>.","ieee":"A. Shaker, W. Heldt, and E. Hüllermeier, “Learning TSK Fuzzy Rules from Data Streams,” in <i>Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia</i>, 2017.","short":"A. Shaker, W. Heldt, E. Hüllermeier, in: Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia, 2017.","chicago":"Shaker, Ammar, W. Heldt, and Eyke Hüllermeier. “Learning TSK Fuzzy Rules from Data Streams.” In <i>Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia</i>, 2017.","mla":"Shaker, Ammar, et al. “Learning TSK Fuzzy Rules from Data Streams.” <i>Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia</i>, 2017.","ama":"Shaker A, Heldt W, Hüllermeier E. Learning TSK Fuzzy Rules from Data Streams. In: <i>Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia</i>. ; 2017.","bibtex":"@inproceedings{Shaker_Heldt_Hüllermeier_2017, title={Learning TSK Fuzzy Rules from Data Streams}, booktitle={Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia}, author={Shaker, Ammar and Heldt, W. and Hüllermeier, Eyke}, year={2017} }"},"publication":"Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"type":"conference","date_created":"2019-06-07T16:00:10Z","date_updated":"2022-01-06T06:50:32Z","author":[{"full_name":"Shaker, Ammar","last_name":"Shaker","first_name":"Ammar"},{"full_name":"Heldt, W.","last_name":"Heldt","first_name":"W."},{"last_name":"Hüllermeier","first_name":"Eyke","full_name":"Hüllermeier, Eyke","id":"48129"}],"year":"2017","status":"public","title":"Learning TSK Fuzzy Rules from Data Streams","user_id":"49109","_id":"10216","language":[{"iso":"eng"}]},{"date_created":"2019-06-18T15:43:40Z","type":"journal_article","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"issue":"1","publication":"European Journal of Operational Research","citation":{"bibtex":"@article{Bräuning_Hüllermeier_Keller_Glaum_2017, title={Lexicographic preferences for predictive modeling of human decision making. A new machine learning method with an application  in accounting}, volume={258}, number={1}, journal={European Journal of Operational Research}, author={Bräuning, M. and Hüllermeier, Eyke and Keller, T. and Glaum, M.}, year={2017}, pages={295–306} }","chicago":"Bräuning, M., Eyke Hüllermeier, T. Keller, and M. Glaum. “Lexicographic Preferences for Predictive Modeling of Human Decision Making. A New Machine Learning Method with an Application  in Accounting.” <i>European Journal of Operational Research</i> 258, no. 1 (2017): 295–306.","ama":"Bräuning M, Hüllermeier E, Keller T, Glaum M. Lexicographic preferences for predictive modeling of human decision making. A new machine learning method with an application  in accounting. <i>European Journal of Operational Research</i>. 2017;258(1):295-306.","short":"M. Bräuning, E. Hüllermeier, T. Keller, M. Glaum, European Journal of Operational Research 258 (2017) 295–306.","ieee":"M. Bräuning, E. Hüllermeier, T. Keller, and M. Glaum, “Lexicographic preferences for predictive modeling of human decision making. A new machine learning method with an application  in accounting,” <i>European Journal of Operational Research</i>, vol. 258, no. 1, pp. 295–306, 2017.","apa":"Bräuning, M., Hüllermeier, E., Keller, T., &#38; Glaum, M. (2017). Lexicographic preferences for predictive modeling of human decision making. A new machine learning method with an application  in accounting. <i>European Journal of Operational Research</i>, <i>258</i>(1), 295–306.","mla":"Bräuning, M., et al. “Lexicographic Preferences for Predictive Modeling of Human Decision Making. A New Machine Learning Method with an Application  in Accounting.” <i>European Journal of Operational Research</i>, vol. 258, no. 1, 2017, pp. 295–306."},"page":"295-306","_id":"10267","language":[{"iso":"eng"}],"user_id":"49109","volume":258,"status":"public","year":"2017","title":"Lexicographic preferences for predictive modeling of human decision making. A new machine learning method with an application  in accounting","author":[{"full_name":"Bräuning, M.","first_name":"M.","last_name":"Bräuning"},{"id":"48129","last_name":"Hüllermeier","first_name":"Eyke","full_name":"Hüllermeier, Eyke"},{"last_name":"Keller","first_name":"T.","full_name":"Keller, T."},{"first_name":"M.","last_name":"Glaum","full_name":"Glaum, M."}],"date_updated":"2022-01-06T06:50:33Z","intvolume":"       258"},{"page":"739-759","_id":"10268","language":[{"iso":"eng"}],"user_id":"49109","volume":43,"title":"Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic","status":"public","year":"2017","author":[{"full_name":"Platenius, M.-C.","first_name":"M.-C.","last_name":"Platenius"},{"full_name":"Shaker, Ammar","first_name":"Ammar","last_name":"Shaker"},{"last_name":"Becker","first_name":"M.","full_name":"Becker, M."},{"first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","id":"48129"},{"full_name":"Schäfer, W.","first_name":"W.","last_name":"Schäfer"}],"date_updated":"2022-01-06T06:50:33Z","intvolume":"        43","date_created":"2019-06-18T15:47:33Z","type":"journal_article","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"publication":"IEEE Transactions on Software Engineering","issue":"8","citation":{"bibtex":"@article{Platenius_Shaker_Becker_Hüllermeier_Schäfer_2017, title={Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic}, volume={43}, number={8}, journal={IEEE Transactions on Software Engineering}, author={Platenius, M.-C. and Shaker, Ammar and Becker, M. and Hüllermeier, Eyke and Schäfer, W.}, year={2017}, pages={739–759} }","ama":"Platenius M-C, Shaker A, Becker M, Hüllermeier E, Schäfer W. 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Schäfer, “Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic,” <i>IEEE Transactions on Software Engineering</i>, vol. 43, no. 8, pp. 739–759, 2017.","apa":"Platenius, M.-C., Shaker, A., Becker, M., Hüllermeier, E., &#38; Schäfer, W. (2017). Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic. <i>IEEE Transactions on Software Engineering</i>, <i>43</i>(8), 739–759."}},{"date_updated":"2022-01-06T06:50:33Z","author":[{"id":"48129","last_name":"Hüllermeier","first_name":"Eyke","full_name":"Hüllermeier, Eyke"}],"status":"public","title":"From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based Systems: A Critical Reflection","year":"2017","user_id":"49109","language":[{"iso":"eng"}],"_id":"10269","article_number":"abs/1712.00646 ","citation":{"bibtex":"@article{Hüllermeier_2017, title={From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based Systems: A Critical Reflection}, number={abs/1712.00646}, journal={The Computing Research Repository  (CoRR)}, author={Hüllermeier, Eyke}, year={2017} }","ama":"Hüllermeier E. From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based Systems: A Critical Reflection. <i>The Computing Research Repository  (CoRR)</i>. 2017.","mla":"Hüllermeier, Eyke. “From Knowledge-Based to Data-Driven Modeling of Fuzzy Rule-Based Systems: A Critical Reflection.” <i>The Computing Research Repository  (CoRR)</i>, abs/1712.00646, 2017.","short":"E. Hüllermeier, The Computing Research Repository  (CoRR) (2017).","chicago":"Hüllermeier, Eyke. “From Knowledge-Based to Data-Driven Modeling of Fuzzy Rule-Based Systems: A Critical Reflection.” <i>The Computing Research Repository  (CoRR)</i>, 2017.","ieee":"E. Hüllermeier, “From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based Systems: A Critical Reflection,” <i>The Computing Research Repository  (CoRR)</i>, 2017.","apa":"Hüllermeier, E. (2017). From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based Systems: A Critical Reflection. <i>The Computing Research Repository  (CoRR)</i>."},"publication":"The Computing Research Repository  (CoRR)","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"type":"journal_article","date_created":"2019-06-18T15:53:28Z"},{"date_updated":"2022-01-06T06:56:08Z","intvolume":"        88","year":"2016","status":"public","title":"Stochastic recursive inclusion in two timescales with an application to the lagrangian dual problem","author":[{"orcid":"https://orcid.org/ 0000-0001-7547-8111","first_name":"Arunselvan","last_name":"Ramaswamy","full_name":"Ramaswamy, Arunselvan","id":"66937"},{"first_name":"Shalabh","last_name":"Bhatnagar","full_name":"Bhatnagar, Shalabh"}],"user_id":"66937","volume":88,"page":"1173-1187","_id":"24154","language":[{"iso":"eng"}],"publisher":"Taylor \\& Francis","extern":"1","publication":"Stochastics","issue":"8","citation":{"bibtex":"@article{Ramaswamy_Bhatnagar_2016, title={Stochastic recursive inclusion in two timescales with an application to the lagrangian dual problem}, volume={88}, number={8}, journal={Stochastics}, publisher={Taylor \\&#38; Francis}, author={Ramaswamy, Arunselvan and Bhatnagar, Shalabh}, year={2016}, pages={1173–1187} }","short":"A. Ramaswamy, S. Bhatnagar, Stochastics 88 (2016) 1173–1187.","ama":"Ramaswamy A, Bhatnagar S. Stochastic recursive inclusion in two timescales with an application to the lagrangian dual problem. <i>Stochastics</i>. 2016;88(8):1173-1187.","chicago":"Ramaswamy, Arunselvan, and Shalabh Bhatnagar. “Stochastic Recursive Inclusion in Two Timescales with an Application to the Lagrangian Dual Problem.” <i>Stochastics</i> 88, no. 8 (2016): 1173–87.","ieee":"A. Ramaswamy and S. Bhatnagar, “Stochastic recursive inclusion in two timescales with an application to the lagrangian dual problem,” <i>Stochastics</i>, vol. 88, no. 8, pp. 1173–1187, 2016.","mla":"Ramaswamy, Arunselvan, and Shalabh Bhatnagar. “Stochastic Recursive Inclusion in Two Timescales with an Application to the Lagrangian Dual Problem.” <i>Stochastics</i>, vol. 88, no. 8, Taylor \\&#38; Francis, 2016, pp. 1173–87.","apa":"Ramaswamy, A., &#38; Bhatnagar, S. (2016). Stochastic recursive inclusion in two timescales with an application to the lagrangian dual problem. <i>Stochastics</i>, <i>88</i>(8), 1173–1187."},"type":"journal_article","department":[{"_id":"355"}],"date_created":"2021-09-10T10:21:49Z"},{"publication":"Schedae Informaticae","date_created":"2018-06-22T14:49:40Z","file":[{"creator":"ups","date_created":"2018-11-02T15:54:38Z","date_updated":"2018-11-02T15:54:38Z","relation":"main_file","file_size":1002478,"access_level":"closed","file_name":"roz-6-Melnikov.pdf","success":1,"content_type":"application/pdf","file_id":"5317"}],"department":[{"_id":"355"},{"_id":"183"}],"type":"journal_article","author":[{"first_name":"Vitalik","last_name":"Melnikov","full_name":"Melnikov, Vitalik"},{"id":"48129","last_name":"Hüllermeier","first_name":"Eyke","full_name":"Hüllermeier, Eyke"},{"last_name":"Kaimann","first_name":"Daniel","full_name":"Kaimann, Daniel","id":"18949"},{"full_name":"Frick, Bernd ","last_name":"Frick","first_name":"Bernd "},{"full_name":"Gupta,  Pritha ","last_name":"Gupta","first_name":" Pritha "}],"publication_identifier":{"issn":["2083-8476"]},"year":"2016","title":"Pairwise versus Pointwise Ranking: A Case Study","intvolume":"        25","publication_status":"published","date_updated":"2022-01-06T06:59:10Z","language":[{"iso":"eng"}],"doi":"10.4467/20838476si.16.006.6187","citation":{"mla":"Melnikov, Vitalik, et al. “Pairwise versus Pointwise Ranking: A Case Study.” <i>Schedae Informaticae</i>, vol. 25, Uniwersytet Jagiellonski - Wydawnictwo Uniwersytetu Jagiellonskiego, 2016, doi:<a href=\"https://doi.org/10.4467/20838476si.16.006.6187\">10.4467/20838476si.16.006.6187</a>.","ama":"Melnikov V, Hüllermeier E, Kaimann D, Frick B, Gupta  Pritha . Pairwise versus Pointwise Ranking: A Case Study. <i>Schedae Informaticae</i>. 2016;25. doi:<a href=\"https://doi.org/10.4467/20838476si.16.006.6187\">10.4467/20838476si.16.006.6187</a>","bibtex":"@article{Melnikov_Hüllermeier_Kaimann_Frick_Gupta_2016, title={Pairwise versus Pointwise Ranking: A Case Study}, volume={25}, DOI={<a href=\"https://doi.org/10.4467/20838476si.16.006.6187\">10.4467/20838476si.16.006.6187</a>}, journal={Schedae Informaticae}, publisher={Uniwersytet Jagiellonski - Wydawnictwo Uniwersytetu Jagiellonskiego}, author={Melnikov, Vitalik and Hüllermeier, Eyke and Kaimann, Daniel and Frick, Bernd  and Gupta,  Pritha }, year={2016} }","apa":"Melnikov, V., Hüllermeier, E., Kaimann, D., Frick, B., &#38; Gupta,  Pritha . (2016). Pairwise versus Pointwise Ranking: A Case Study. <i>Schedae Informaticae</i>, <i>25</i>. <a href=\"https://doi.org/10.4467/20838476si.16.006.6187\">https://doi.org/10.4467/20838476si.16.006.6187</a>","ieee":"V. Melnikov, E. Hüllermeier, D. Kaimann, B. Frick, and  Pritha  Gupta, “Pairwise versus Pointwise Ranking: A Case Study,” <i>Schedae Informaticae</i>, vol. 25, 2016.","chicago":"Melnikov, Vitalik, Eyke Hüllermeier, Daniel Kaimann, Bernd  Frick, and  Pritha  Gupta. “Pairwise versus Pointwise Ranking: A Case Study.” <i>Schedae Informaticae</i> 25 (2016). <a href=\"https://doi.org/10.4467/20838476si.16.006.6187\">https://doi.org/10.4467/20838476si.16.006.6187</a>.","short":"V. Melnikov, E. Hüllermeier, D. Kaimann, B. Frick,  Pritha  Gupta, Schedae Informaticae 25 (2016)."},"file_date_updated":"2018-11-02T15:54:38Z","project":[{"name":"SFB 901 - Project Area B","_id":"3"},{"_id":"11","name":"SFB 901 - Subproject B3"},{"_id":"8","name":"SFB 901 - Subproject A4"},{"name":"SFB 901","_id":"1"},{"_id":"2","name":"SFB 901 - Project Area A"}],"status":"public","has_accepted_license":"1","publisher":"Uniwersytet Jagiellonski - Wydawnictwo Uniwersytetu Jagiellonskiego","_id":"3318","volume":25,"user_id":"15504","ddc":["000"]},{"file":[{"date_created":"2018-03-21T12:30:31Z","creator":"florida","file_id":"1529","content_type":"application/pdf","success":1,"file_name":"190-07755807.pdf","file_size":5225413,"access_level":"closed","relation":"main_file","date_updated":"2018-03-21T12:30:31Z"}],"date_created":"2017-10-17T12:41:29Z","type":"journal_article","department":[{"_id":"355"}],"issue":"8","publication":"IEEE Transactions on Software Engineering (TSE), presented at ICSE 2017","abstract":[{"text":"Today, software components are provided by global markets in the form of services. In order to optimally satisfy service requesters and service providers, adequate techniques for automatic service matching are needed. However, a requester’s requirements may be vague and the information available about a provided service may be incomplete. As a consequence, fuzziness is induced into the matching procedure. The contribution of this paper is the development of a systematic matching procedure that leverages concepts and techniques from fuzzy logic and possibility theory based on our formal distinction between different sources and types of fuzziness in the context of service matching. In contrast to existing methods, our approach is able to deal with imprecision and incompleteness in service specifications and to inform users about the extent of induced fuzziness in order to improve the user’s decision-making. We demonstrate our approach on the example of specifications for service reputation based on ratings given by previous users. Our evaluation based on real service ratings shows the utility and applicability of our approach.","lang":"eng"}],"language":[{"iso":"eng"}],"doi":"10.1109/TSE.2016.2632115","year":"2016","title":"Imprecise Matching of Requirements Specifications for Software Services using Fuzzy Logic","author":[{"full_name":"Platenius, Marie Christin","last_name":"Platenius","first_name":"Marie Christin"},{"last_name":"Shaker","first_name":"Ammar","full_name":"Shaker, Ammar"},{"last_name":"Becker","first_name":"Matthias","full_name":"Becker, Matthias"},{"full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","first_name":"Eyke","id":"48129"},{"first_name":"Wilhelm","last_name":"Schäfer","full_name":"Schäfer, Wilhelm"}],"date_updated":"2022-01-06T06:53:57Z","file_date_updated":"2018-03-21T12:30:31Z","citation":{"chicago":"Platenius, Marie Christin, Ammar Shaker, Matthias Becker, Eyke Hüllermeier, and Wilhelm Schäfer. “Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic.” <i>IEEE Transactions on Software Engineering (TSE), Presented at ICSE 2017</i>, no. 8 (2016): 739–59. <a href=\"https://doi.org/10.1109/TSE.2016.2632115\">https://doi.org/10.1109/TSE.2016.2632115</a>.","short":"M.C. Platenius, A. Shaker, M. Becker, E. Hüllermeier, W. Schäfer, IEEE Transactions on Software Engineering (TSE), Presented at ICSE 2017 (2016) 739–759.","ieee":"M. C. Platenius, A. Shaker, M. Becker, E. Hüllermeier, and W. Schäfer, “Imprecise Matching of Requirements Specifications for Software Services using Fuzzy Logic,” <i>IEEE Transactions on Software Engineering (TSE), presented at ICSE 2017</i>, no. 8, pp. 739–759, 2016.","apa":"Platenius, M. C., Shaker, A., Becker, M., Hüllermeier, E., &#38; Schäfer, W. (2016). Imprecise Matching of Requirements Specifications for Software Services using Fuzzy Logic. <i>IEEE Transactions on Software Engineering (TSE), Presented at ICSE 2017</i>, (8), 739–759. <a href=\"https://doi.org/10.1109/TSE.2016.2632115\">https://doi.org/10.1109/TSE.2016.2632115</a>","bibtex":"@article{Platenius_Shaker_Becker_Hüllermeier_Schäfer_2016, title={Imprecise Matching of Requirements Specifications for Software Services using Fuzzy Logic}, DOI={<a href=\"https://doi.org/10.1109/TSE.2016.2632115\">10.1109/TSE.2016.2632115</a>}, number={8}, journal={IEEE Transactions on Software Engineering (TSE), presented at ICSE 2017}, publisher={IEEE}, author={Platenius, Marie Christin and Shaker, Ammar and Becker, Matthias and Hüllermeier, Eyke and Schäfer, Wilhelm}, year={2016}, pages={739–759} }","ama":"Platenius MC, Shaker A, Becker M, Hüllermeier E, Schäfer W. Imprecise Matching of Requirements Specifications for Software Services using Fuzzy Logic. <i>IEEE Transactions on Software Engineering (TSE), presented at ICSE 2017</i>. 2016;(8):739-759. doi:<a href=\"https://doi.org/10.1109/TSE.2016.2632115\">10.1109/TSE.2016.2632115</a>","mla":"Platenius, Marie Christin, et al. “Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic.” <i>IEEE Transactions on Software Engineering (TSE), Presented at ICSE 2017</i>, no. 8, IEEE, 2016, pp. 739–59, doi:<a href=\"https://doi.org/10.1109/TSE.2016.2632115\">10.1109/TSE.2016.2632115</a>."},"project":[{"_id":"1","name":"SFB 901"},{"_id":"9","name":"SFB 901 - Subprojekt B1"},{"name":"SFB 901 - Subprojekt B2","_id":"10"},{"name":"SFB 901 - Subprojekt B3","_id":"11"},{"_id":"3","name":"SFB 901 - Project Area B"}],"page":"739-759","publisher":"IEEE","_id":"190","user_id":"15504","ddc":["040"],"status":"public","has_accepted_license":"1"},{"author":[{"full_name":"Melnikov, Vitaly","last_name":"Melnikov","first_name":"Vitaly","id":"58747"},{"id":"48129","full_name":"Hüllermeier, Eyke","first_name":"Eyke","last_name":"Hüllermeier"}],"year":"2016","title":"Learning to Aggregate Using Uninorms","date_updated":"2022-01-06T06:53:32Z","language":[{"iso":"eng"}],"series_title":"LNCS","doi":"10.1007/978-3-319-46227-1_47","publication":"Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016)","abstract":[{"text":"In this paper, we propose a framework for a class of learning problems that we refer to as “learning to aggregate”. Roughly, learning-to-aggregate problems are supervised machine learning problems, in which instances are represented in the form of a composition of a (variable) number on constituents; such compositions are associated with an evaluation, score, or label, which is the target of the prediction task, and which can presumably be modeled in the form of a suitable aggregation of the properties of its constituents. Our learning-to-aggregate framework establishes a close connection between machine learning and a branch of mathematics devoted to the systematic study of aggregation functions. We specifically focus on a class of functions called uninorms, which combine conjunctive and disjunctive modes of aggregation. Experimental results for a corresponding model are presented for a review data set, for which the aggregation problem consists of combining different reviewer opinions about a paper into an overall decision of acceptance or rejection.","lang":"eng"}],"date_created":"2017-10-17T12:41:27Z","file":[{"date_created":"2018-03-21T12:32:44Z","creator":"florida","file_id":"1533","success":1,"content_type":"application/pdf","relation":"main_file","date_updated":"2018-03-21T12:32:44Z","file_name":"184-chp_3A10.1007_2F978-3-319-46227-1_47.pdf","access_level":"closed","file_size":472159}],"department":[{"_id":"355"}],"type":"conference","status":"public","has_accepted_license":"1","_id":"184","page":"756-771","user_id":"15504","ddc":["040"],"citation":{"chicago":"Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate Using Uninorms.” In <i>Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016)</i>, 756–71. LNCS, 2016. <a href=\"https://doi.org/10.1007/978-3-319-46227-1_47\">https://doi.org/10.1007/978-3-319-46227-1_47</a>.","short":"V. Melnikov, E. Hüllermeier, in: Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016), 2016, pp. 756–771.","apa":"Melnikov, V., &#38; Hüllermeier, E. (2016). Learning to Aggregate Using Uninorms. In <i>Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016)</i> (pp. 756–771). <a href=\"https://doi.org/10.1007/978-3-319-46227-1_47\">https://doi.org/10.1007/978-3-319-46227-1_47</a>","ieee":"V. Melnikov and E. Hüllermeier, “Learning to Aggregate Using Uninorms,” in <i>Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016)</i>, 2016, pp. 756–771.","ama":"Melnikov V, Hüllermeier E. Learning to Aggregate Using Uninorms. 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