{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T23:23:47Z","timestamp":1725665027173},"publisher-location":"Berlin, Heidelberg","reference-count":20,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540632238"},{"type":"electronic","value":"9783540692362"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[1997]]},"DOI":"10.1007\/3-540-63223-9_138","type":"book-chapter","created":{"date-parts":[[2012,2,26]],"date-time":"2012-02-26T23:20:21Z","timestamp":1330298421000},"page":"384-392","source":"Crossref","is-referenced-by-count":4,"title":["Induction of strong feature subsets"],"prefix":"10.1007","author":[{"given":"Mohamed","family":"Quafafou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Moussa","family":"Boussouf","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2005,6,6]]},"reference":[{"issue":"1-2","key":"39_CR1","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1016\/0004-3702(94)90084-1","volume":"69","author":"H. Almuallim","year":"1994","unstructured":"Almuallim, H., Dietterich, T.G. (1994): Learning boolean concepts in the presence of many irrelevant features. Artificial Intelligence, 69 (1-2), pp. 279\u2013305","journal-title":"Artificial Intelligence"},{"key":"39_CR2","unstructured":"Deogun J.S., Raghavan, Sever H. (1995): Exploiting upper approximation in the rough set methodology. In International Conference on Knozledge Discovery and Data Mining, pp. 69\u201374."},{"key":"39_CR3","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/S1076-5670(08)70145-9","volume":"94","author":"J.W. Grzymala-Busse","year":"1995","unstructured":"Grzymala-Busse J.W. (1995): Rough Sets. Advances in imaging and physics, Vol. 94, pp. 151\u2013195","journal-title":"Advances in imaging and physics"},{"key":"39_CR4","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/S1076-5670(08)70145-9","volume":"94","author":"M. Hadjimichael","year":"1995","unstructured":"Hadjimichael M., Wong S.K.K. (1995): Fuzzy representation in rough set approximation. Advances in imaging and physics, Vol. 94, pp. 151\u2013195","journal-title":"Advances in imaging and physics"},{"key":"39_CR5","doi-asserted-by":"crossref","unstructured":"John, G. H., Kohavi, R., Pfleger, K. (1994): Irrelevant features and the subset selection Problem. In Proceedings of the Eleventh International Conference on Machine Learning, pp. 121\u2013129.","DOI":"10.1016\/B978-1-55860-335-6.50023-4"},{"key":"39_CR6","unstructured":"Kira, K., Rendell, L.A. (1992): The feature selection problem: traditional methods and a new algorithm In Proceedings of the 9th National Conference on Artificial Intelligence, pp. 129\u2013134."},{"key":"39_CR7","volume-title":"Handbook of Pattern Recognition and Image Processing","author":"J. Kittler","year":"1986","unstructured":"Kittler, J. (1986): Feature selection and extraction In Young, T.Y. and Fu, K.S. (eds.), Handbook of Pattern Recognition and Image Processing. Academic Press, New York."},{"key":"39_CR8","unstructured":"Kohavi, R. (1994): Feature subset selection as search probabilistic estimates AAAI Fall Symposium on Relevance, pp. 122\u2013126."},{"key":"39_CR9","unstructured":"Kohavi, R., Frasca, B. (1994): Useful feature subset and rough set reducts In Proceedings of the Third International Workshop on Rough Sets and Soft Computing, pp. 310\u2013317."},{"key":"39_CR10","unstructured":"Kohavi, R., Sommerfield, D. (1995): Feature subset selection using the wrapper method: overfitting and dynamic search space topology. In proceeding of the First International Conference on Knowledge Discovery and Data Mining, pp. 192\u2013197."},{"key":"39_CR11","doi-asserted-by":"crossref","unstructured":"Langley, P. (1994): Selection of relevant features in machine learning In Proceedibgs of the AAAI Fall Symposium on Relevance. AAAI Press.","DOI":"10.21236\/ADA292575"},{"key":"39_CR12","doi-asserted-by":"crossref","unstructured":"Modrzejewski, M. (1993): Feature selection using rough sets theory. In Proceedings of the European Conference on Machine Learning, pp. 213\u2013226.","DOI":"10.1007\/3-540-56602-3_138"},{"key":"39_CR13","doi-asserted-by":"crossref","DOI":"10.1007\/978-94-011-3534-4","volume-title":"Rough Sets: Theoretical Aspects of Reasoning About Data","author":"Z. Pawlak","year":"1991","unstructured":"Pawlak Z. (1991): Rough Sets: Theoretical Aspects of Reasoning About Data. Kluwer Academic Publishers, Dordrecht, The Netherlands."},{"issue":"3-4","key":"39_CR14","first-page":"157","volume":"18","author":"Z. Pawlak","year":"1993","unstructured":"Pawlak Z. (1993): Rough Sets: present state and the future. Foundations of Computing and Decision Sciences, 18 (3-4), pp. 157\u2013166","journal-title":"Foundations of Computing and Decision Sciences"},{"issue":"No11","key":"39_CR15","first-page":"89","volume":"38","author":"Z. Pawlak","year":"1995","unstructured":"Pawlak Z., Grzymala-Busse J.W., Slowinski R., Ziarko W. (1995): Rough Sets. Communications of the ACM, Vol. 38, No 11, pp. 89\u201395","journal-title":"Rough Sets. Communications of the ACM"},{"key":"39_CR16","unstructured":"Pawlak Z., Wong S.K.M., Ziarko W. (1990): Rough Sets: Probabilistic versus Deterministic In B.R. Gaines and J.H. Boose, editors, Machine Learning and Uncertain Reasoning, pp. 227\u2013241, Academic Press."},{"key":"39_CR17","unstructured":"Quafafou, M. (1997): \u03b1-RST: A generalization of rough set theory. In proceedings of the Fifth International Workshop on Rough Sets and Soft Computing, North Carolina, USA."},{"key":"39_CR18","unstructured":"Quafafou, M. (1997): On the Roughness of Fuzzy Sets In proceedings of the European Symposium on Intelligent Techniques, Bari, Italy."},{"key":"39_CR19","doi-asserted-by":"crossref","unstructured":"Vafai, H., De Jong, K. (1993): Robust Feature Selection Algorithms In Proceeding of the Fifth International Conference on Tools with Artificial Intelligence, IEEE Computer Society Press, pp. 356\u2013363.","DOI":"10.1109\/TAI.1993.633981"},{"key":"39_CR20","unstructured":"Ziarko, W. (1991): The discovery, analysis, and representation of data dependencies in databases. In Piatetsky-Shapiro, G., and Frawley, W., eds., Knowledge Discovery in Databases, MIT Press."}],"container-title":["Lecture Notes in Computer Science","Principles of Data Mining and Knowledge Discovery"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-63223-9_138.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,17]],"date-time":"2020-11-17T21:17:34Z","timestamp":1605647854000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-63223-9_138"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1997]]},"ISBN":["9783540632238","9783540692362"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/3-540-63223-9_138","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[1997]]}}}