{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T14:26:56Z","timestamp":1725892016419},"publisher-location":"Berlin, Heidelberg","reference-count":23,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642334917"},{"type":"electronic","value":"9783642334924"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-33492-4_12","type":"book-chapter","created":{"date-parts":[[2012,10,22]],"date-time":"2012-10-22T05:06:10Z","timestamp":1350882370000},"page":"125-138","source":"Crossref","is-referenced-by-count":1,"title":["Efficient Redundancy Reduced Subgroup Discovery via Quadratic Programming"],"prefix":"10.1007","author":[{"given":"Rui","family":"Li","sequence":"first","affiliation":[]},{"given":"Stefan","family":"Kramer","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"12_CR1","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1023\/A:1011429418057","volume":"5","author":"S.D. Bay","year":"2001","unstructured":"Bay, S.D., Pazzani, M.J.: Detecting group differences: Mining contrast sets. Data Mining and Knowledge Discovery\u00a05, 213\u2013246 (2001)","journal-title":"Data Mining and Knowledge Discovery"},{"key":"12_CR2","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1007\/s10115-008-0136-4","volume":"18","author":"B. Bringmann","year":"2009","unstructured":"Bringmann, B., Zimmermann, A.: One in a million: Picking the right patterns. Knowledge and Information Systems\u00a018, 61\u201381 (2009)","journal-title":"Knowledge and Information Systems"},{"key":"12_CR3","unstructured":"Cohen, W.W., Singer, Y.: A simple, fast, and effective rule learner. In: Proceedings of the Sixteenth National Conference on Artificial Intelligence, pp. 335\u2013342. AAAI Press (1999)"},{"key":"12_CR4","doi-asserted-by":"crossref","unstructured":"Dong, G.Z., Li, J.Y.: Efficient mining of emerging patterns: discovering trends and differences. In: Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 1999 (1999)","DOI":"10.1145\/312129.312191"},{"key":"12_CR5","unstructured":"Frank, A., Asuncion, A.: UCI machine learning repository (2010)"},{"key":"12_CR6","doi-asserted-by":"publisher","first-page":"916","DOI":"10.1214\/07-AOAS148","volume":"2","author":"J.H. Friedman","year":"2008","unstructured":"Friedman, J.H., Popescu, B.E.: Predictive learning via rule ensembles. The Annals of Applied Statistics\u00a02, 916\u2013954 (2008)","journal-title":"The Annals of Applied Statistics"},{"key":"12_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1007\/978-3-642-23780-5_44","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"H. Grosskreutz","year":"2011","unstructured":"Grosskreutz, H., Paurat, D.: Fast and Memory-Efficient Discovery of the Top-k Relevant Subgroups in a Reduced Candidate Space. In: Gunopulos, D., Hofmann, T., Malerba, D., Vazirgiannis, M. (eds.) ECML PKDD 2011, Part I. LNCS, vol.\u00a06911, pp. 533\u2013548. Springer, Heidelberg (2011)"},{"key":"12_CR8","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1007\/978-3-540-87479-9_47","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"H. Grosskreutz","year":"2008","unstructured":"Grosskreutz, H., R\u00fcping, S., Wrobel, S.: Tight Optimistic Estimates for Fast Subgroup Discovery. In: Daelemans, W., Goethals, B., Morik, K. (eds.) ECML PKDD 2008, Part I. LNCS (LNAI), vol.\u00a05211, pp. 440\u2013456. Springer, Heidelberg (2008)"},{"key":"12_CR9","doi-asserted-by":"crossref","unstructured":"Herrera, F., Carmona, C.J., Gonz\u00e1lez, P., Jesus, M.J.: An overview on subgroup discovery: foundations and applications. In: Knowledge and Information Systems, pp. 495\u2013525 (2011)","DOI":"10.1007\/s10115-010-0356-2"},{"key":"12_CR10","doi-asserted-by":"crossref","unstructured":"Kl\u00f6sgen, W.: Explora: A multipattern and multistrategy discovery assistant. In: Advances in Knowledge Discovery and Data Mining (1996)","DOI":"10.1007\/3-540-61286-6_186"},{"key":"12_CR11","unstructured":"Kl\u00f6sgen, W., May, M.: Census data mining-an application. In: Mining Official Data, pp. 65\u201379 (2002)"},{"key":"12_CR12","first-page":"153","volume":"5","author":"N. Lavrac","year":"2004","unstructured":"Lavrac, N., Kavsek, B., Flach, P., Todorovski, L., Wrobel, S.: Subgroup discovery with CN2-SD. Journal of Machine Learning Research\u00a05, 153\u2013118 (2004)","journal-title":"Journal of Machine Learning Research"},{"key":"12_CR13","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1007\/11871637_6","volume-title":"Knowledge Discovery in Databases: PKDD 2006","author":"M. Atzmueller","year":"2006","unstructured":"Atzmueller, M., Puppe, F.: SD-Map \u2013 A Fast Algorithm for Exhaustive Subgroup Discovery. In: F\u00fcrnkranz, J., Scheffer, T., Spiliopoulou, M. (eds.) PKDD 2006. LNCS (LNAI), vol.\u00a04213, pp. 6\u201317. Springer, Heidelberg (2006)"},{"key":"12_CR14","doi-asserted-by":"crossref","unstructured":"Morishita, S., Sese, J.: Traversing itemset lattices with statistical metric pruning. In: Proceedings of the 19th ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, pp. 226\u2013236. ACM (2000)","DOI":"10.1145\/335168.335226"},{"key":"12_CR15","first-page":"377","volume":"10","author":"P.K. Novak","year":"2009","unstructured":"Novak, P.K., Lavrac, N., Webb, G.I.: Supervised descriptive rule discovery: A unifying survey of contrast set, emerging pattern and subgroup mining. Journal of Machine Learning Research\u00a010, 377\u2013403 (2009)","journal-title":"Journal of Machine Learning Research"},{"key":"12_CR16","first-page":"1491","volume":"11","author":"I. Rodrigue-Lujan","year":"2010","unstructured":"Rodrigue-Lujan, I., Huerta, R., Elkan, C., Cruz, C.S.: Quadratic programming feature selection. Journal of Machine Learning Research\u00a011, 1491\u20131516 (2010)","journal-title":"Journal of Machine Learning Research"},{"key":"12_CR17","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1007\/s10994-007-5034-6","volume":"70","author":"U. R\u00fcckert","year":"2008","unstructured":"R\u00fcckert, U., Kramer, S.: Margin-based first-order rule learning. Machine Learning\u00a070, 189\u2013206 (2008)","journal-title":"Machine Learning"},{"key":"12_CR18","first-page":"913","volume-title":"Proceedings of the 26th Annual International Conference on Machine Learning, ICML 2009","author":"S. R\u00fcping","year":"2009","unstructured":"R\u00fcping, S.: Ranking interesting subgroups. In: Proceedings of the 26th Annual International Conference on Machine Learning, ICML 2009, pp. 913\u2013920. ACM, New York (2009)"},{"key":"12_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1007\/978-3-642-23808-6_30","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"M. Leeuwen van","year":"2011","unstructured":"van Leeuwen, M., Knobbe, A.: Non-redundant Subgroup Discovery in Large and Complex Data. In: Gunopulos, D., Hofmann, T., Malerba, D., Vazirgiannis, M. (eds.) ECML PKDD 2011, Part III. LNCS, vol.\u00a06913, pp. 459\u2013474. Springer, Heidelberg (2011)"},{"key":"12_CR20","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1007\/s10618-010-0202-x","volume":"23","author":"J. Vreeken","year":"2011","unstructured":"Vreeken, J., Leeuwen, M., Siebes, A.: Krimp: mining itemsets that compress. Data Mining Knowledge Discovery\u00a023, 169\u2013214 (2011)","journal-title":"Data Mining Knowledge Discovery"},{"key":"12_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1007\/3-540-63223-9_108","volume-title":"Principles of Data Mining and Knowledge Discovery","author":"S. Wrobel","year":"1997","unstructured":"Wrobel, S.: An Algorithm for Multi-relational Discovery of Subgroups. In: Komorowski, J., \u017bytkow, J.M. (eds.) PKDD 1997. LNCS, vol.\u00a01263, pp. 78\u201387. Springer, Heidelberg (1997)"},{"key":"12_CR22","doi-asserted-by":"crossref","unstructured":"Xin, D., Cheng, H., Yan, X.F., Han, J.W.: Extracting redundancy-aware top-k patterns. In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 444\u2013453 (2006)","DOI":"10.1145\/1150402.1150452"},{"key":"12_CR23","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1007\/978-3-540-30214-8_5","volume-title":"Discovery Science","author":"A. Zimmermann","year":"2004","unstructured":"Zimmermann, A., De Raedt, L.: CorClass: Correlated Association Rule Mining for Classification. In: Suzuki, E., Arikawa, S. (eds.) DS 2004. LNCS (LNAI), vol.\u00a03245, pp. 60\u201372. Springer, Heidelberg (2004)"}],"container-title":["Lecture Notes in Computer Science","Discovery Science"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-33492-4_12.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T08:12:12Z","timestamp":1620115932000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-33492-4_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642334917","9783642334924"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-33492-4_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}