{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,2]],"date-time":"2025-02-02T05:33:36Z","timestamp":1738474416621,"version":"3.35.0"},"publisher-location":"Berlin, Heidelberg","reference-count":11,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540884231"},{"type":"electronic","value":"9783540884255"}],"license":[{"start":{"date-parts":[[2008,1,1]],"date-time":"2008-01-01T00:00:00Z","timestamp":1199145600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2008]]},"DOI":"10.1007\/978-3-540-88425-5_18","type":"book-chapter","created":{"date-parts":[[2008,10,15]],"date-time":"2008-10-15T14:15:44Z","timestamp":1224080144000},"page":"170-180","source":"Crossref","is-referenced-by-count":4,"title":["Rule Induction: Combining Rough Set and Statistical Approaches"],"prefix":"10.1007","author":[{"given":"Wojciech","family":"Jaworski","sequence":"first","affiliation":[]}],"member":"297","reference":[{"key":"18_CR1","volume-title":"UCI Machine Learning Repository","author":"A. Asuncion","year":"2007","unstructured":"Asuncion, A., Newman, D.J.: UCI Machine Learning Repository. University of California, School of Information and Computer Science, Irvine (2007), http:\/\/www.ics.uci.edu\/~mlearn\/MLRepository.html"},{"key":"18_CR2","doi-asserted-by":"publisher","first-page":"545","DOI":"10.1007\/978-3-7908-1840-6_11","volume-title":"Rough set methods and applications: New developments in knowledge discovery in information systems","author":"G. Gediga","year":"2000","unstructured":"Gediga, G., D\u00fcntsch, I.: Statistical techniques for rough set data analysis. In: Polkowski, L., et al. (eds.) Rough set methods and applications: New developments in knowledge discovery in information systems, pp. 545\u2013565. Physica Verlag, Heidelberg (2000)"},{"key":"18_CR3","series-title":"Studies in Computational Intelligence","volume-title":"Quality Measures in Data Mining","year":"2007","unstructured":"Guillet, F., Hamilton, H.J. (eds.): Quality Measures in Data Mining. Studies in Computational Intelligence, vol.\u00a043. Springer, Heidelberg (2007)"},{"key":"18_CR4","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"481","DOI":"10.1007\/11548669_50","volume-title":"Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing","author":"W. Jaworski","year":"2005","unstructured":"Jaworski, W.: Model Selection and Assessment for Classification Using Validation. In: \u015ale\u0327zak, D., et al. (eds.) RSFDGrC 2005. LNCS (LNAI), vol.\u00a03641, pp. 481\u2013490. Springer, Heidelberg (2005)"},{"issue":"3","key":"18_CR5","doi-asserted-by":"crossref","first-page":"261","DOI":"10.3233\/FUN-2006-70306","volume":"70","author":"W. Jaworski","year":"2006","unstructured":"Jaworski, W.: Bounds for Validation. Fundamenta Informaticae\u00a070(3), 261\u2013275 (2006)","journal-title":"Fundamenta Informaticae"},{"key":"18_CR6","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1080\/01621459.1963.10500830","volume":"58","author":"W. Hoeffding","year":"1963","unstructured":"Hoeffding, W.: Probability Inequalities for Sums of Bounded Random Variables. Journal of the American Statistical Association\u00a058, 13\u201330 (1963)","journal-title":"Journal of the American Statistical Association"},{"key":"18_CR7","volume-title":"Rough Sets. Theoretical Aspects of Reasoning about Data","author":"Z. Pawlak","year":"1991","unstructured":"Pawlak, Z.: Rough Sets. Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Dordrecht (1991)"},{"issue":"1","key":"18_CR8","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.ins.2006.06.006","volume":"177","author":"Z. Pawlak","year":"2007","unstructured":"Pawlak, Z., Skowron, A.: Rough sets: Some extensions. Information Sciences\u00a0177(1), 28\u201340 (2007)","journal-title":"Information Sciences"},{"key":"18_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1007\/11427834_8","volume-title":"Transactions on Rough Sets III","author":"A. Skowron","year":"2005","unstructured":"Skowron, A., Swiniarski, R., Synak, P.: Approximation spaces and information granulation. In: Peters, J.F., Skowron, A. (eds.) Transactions on Rough Sets III. LNCS, vol.\u00a03400, pp. 175\u2013189. Springer, Heidelberg (2005)"},{"key":"18_CR10","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1007\/3-540-45813-1_49","volume-title":"Rough Sets and Current Trends in Computing","author":"S. Tsumoto","year":"2002","unstructured":"Tsumoto, S.: Accuracy and Coverage in Rough Set Rule Induction. In: Alpigini, J.J., Peters, J.F., Skowron, A., Zhong, N. (eds.) RSCTC 2002. LNCS (LNAI), vol.\u00a02475, pp. 373\u2013380. Springer, Heidelberg (2002)"},{"key":"18_CR11","volume-title":"Statistical Learning Theory","author":"V.N. Vapnik","year":"1998","unstructured":"Vapnik, V.N.: Statistical Learning Theory. Wiley, New York (1998)"}],"container-title":["Lecture Notes in Computer Science","Rough Sets and Current Trends in Computing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-88425-5_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T22:16:30Z","timestamp":1738448190000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-88425-5_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008]]},"ISBN":["9783540884231","9783540884255"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-88425-5_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2008]]}}}