{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T14:33:43Z","timestamp":1742394823842},"publisher-location":"Berlin, Heidelberg","reference-count":21,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642162473"},{"type":"electronic","value":"9783642162480"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1007\/978-3-642-16248-0_81","type":"book-chapter","created":{"date-parts":[[2010,10,1]],"date-time":"2010-10-01T02:21:24Z","timestamp":1285899684000},"page":"596-603","source":"Crossref","is-referenced-by-count":8,"title":["A Supervised and Multivariate Discretization Algorithm for Rough Sets"],"prefix":"10.1007","author":[{"given":"Feng","family":"Jiang","sequence":"first","affiliation":[]},{"given":"Zhixi","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Yan","family":"Ge","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"81_CR1","unstructured":"Nguyen, H.S., Skowron, A.: Quantization of real value attributes:rough set and boolean reasoning approach. In: Proceedings of the Second Joint Annual Conference on Information Sciences, pp. 34\u201337. Society for Information Processing,"},{"key":"81_CR2","unstructured":"Nguyen, S.H., Nguyen, H.S.: Some efficient algorithms for rough set methods. In: Proceedings of IPMU 1996, Granada, Spain, pp. 1451\u20131456 (1996)"},{"key":"81_CR3","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"545","DOI":"10.1007\/3-540-69115-4_75","volume-title":"Rough Sets and Current Trends in Computing","author":"H.S. Nguyen","year":"1998","unstructured":"Nguyen, H.S.: Discretization problem for rough sets methods. In: Polkowski, L., Skowron, A. (eds.) RSCTC 1998. LNCS (LNAI), vol.\u00a01424, pp. 545\u2013555. Springer, Heidelberg (1998)"},{"key":"81_CR4","unstructured":"Nguyen, H.S., Nguyen, S.H.: Discretization Methods in Data Mining. In: Rough Sets in Knowledge Discovery, Physica, pp. 451\u2013482 (1998)"},{"key":"81_CR5","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1007\/BF01001956","volume":"11","author":"Z. Pawlak","year":"1982","unstructured":"Pawlak, Z.: Rough sets. International Journal of Computer and Information Sciences\u00a011, 341\u2013356 (1982)","journal-title":"International Journal of Computer and Information Sciences"},{"key":"81_CR6","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.: Rough sets: Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Dordrecht (1991)"},{"key":"81_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1007\/BFb0017012","volume-title":"Machine Learning - EWSL-91","author":"J. Catlett","year":"1991","unstructured":"Catlett, J.: On Changing Continuous Attributes into Ordered Discrete Attributes. In: Kodratoff, Y. (ed.) EWSL 1991. LNCS, vol.\u00a0482, pp. 164\u2013178. Springer, Heidelberg (1991)"},{"key":"81_CR8","first-page":"123","volume-title":"Proc. of the Ninth National Conference of Articial Intelligence","author":"R. Kerber","year":"1992","unstructured":"Kerber, R.: Chimerge: Discretization of Numeric Attributes. In: Proc. of the Ninth National Conference of Articial Intelligence, pp. 123\u2013128. AAAI Press, Menlo Park (1992)"},{"key":"81_CR9","first-page":"194","volume-title":"Proceedings of the 12th International Conference on Machine Learning","author":"J. Dougherty","year":"1995","unstructured":"Dougherty, J., Kohavi, R., Sahami, M.: Supervised and Unsupervised Discretization of Continuous Features. In: Proceedings of the 12th International Conference on Machine Learning, pp. 194\u2013202. Morgan Kaufmann Publishers, San Francisco (1995)"},{"key":"81_CR10","unstructured":"\u00d8hrn, A.: Rosetta Technical Reference Manual (1999), \n                    \n                      http:\/\/www.idi.ntnu.no\/_aleks\/rosetta"},{"key":"81_CR11","unstructured":"Blake, C.L., Merz, C.J.: UCI Machine Learning Repository, \n                    \n                      http:\/\/archive.ics.uci.edu\/ml\/"},{"key":"81_CR12","doi-asserted-by":"crossref","unstructured":"Bay, S.D.: Multivariate Discretization of Continuous Variables for Set Mining. In: Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 315\u2013319 (2000)","DOI":"10.1145\/347090.347159"},{"issue":"4","key":"81_CR13","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1007\/PL00011680","volume":"3","author":"S.D. Bay","year":"2001","unstructured":"Bay, S.D.: Multivariate Discretization for Set Mining. Knowledge and Information Systems\u00a03(4), 491\u2013512 (2001)","journal-title":"Knowledge and Information Systems"},{"key":"81_CR14","unstructured":"Monti, S., Cooper, G.F.: A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data. In: Proceedings of 14th Conference of Uncertainty in AI, pp. 404\u2013413 (1998)"},{"key":"81_CR15","doi-asserted-by":"publisher","first-page":"714","DOI":"10.1016\/j.ins.2007.09.004","volume":"178","author":"C.J. Tsai","year":"2008","unstructured":"Tsai, C.J., Lee, C.I., Yang, W.P.: A discretization algorithm based on Class-Attribute Contingency Coefficient. Information Sciences\u00a0178, 714\u2013731 (2008)","journal-title":"Information Sciences"},{"key":"81_CR16","doi-asserted-by":"crossref","unstructured":"Wong, A.K.C., Chiu, D.K.Y.: Synthesizing Statistical Knowledge from Incomplete Mixed- Mode Data. IEEE Trans. Pattern Analysis and Machine Intelligence, 796\u2013805 (1987)","DOI":"10.1109\/TPAMI.1987.4767986"},{"key":"81_CR17","first-page":"388","volume-title":"Chi2: Feature Selection and Discretization of Numeric Attributes","author":"H. Liu","year":"1995","unstructured":"Liu, H., Setiono, R.: Chi2: Feature Selection and Discretization of Numeric Attributes, pp. 388\u2013391. IEEE Computer Society, Los Alamitos (1995)"},{"issue":"4","key":"81_CR18","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1023\/A:1016304305535","volume":"6","author":"H. Liu","year":"2002","unstructured":"Liu, H., Hussain, F., Tan, C.L., Dash, M.: Discretization: an enabling technique. Journal of Data Mining and Knowledge Discovery\u00a06(4), 393\u2013423 (2002)","journal-title":"Journal of Data Mining and Knowledge Discovery"},{"key":"81_CR19","unstructured":"Fayyad, U.M., Irani, K.B.: Multi-interval discretization of continuous-valued attributes for classification learning. In: Proceeding of Thirteenth International Conference on Artificial Intelligence, pp. 1022\u20131027 (1993)"},{"key":"81_CR20","unstructured":"Pongaksorn, P., Rakthanmanon, T., Waiyamai, K.: DCR: Discretization using Class Information to Reduce Number of Intervals. In: QIMIE 2009: Quality issues, measures of interestingness and evaluation of data mining models, pp. 17\u201328 (2009)"},{"key":"81_CR21","unstructured":"Wang, G.Y.: Rough set theory and knowledge acquisition. Xian Jiaotong University Press (2001)"}],"container-title":["Lecture Notes in Computer Science","Rough Set and Knowledge Technology"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-16248-0_81.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,30]],"date-time":"2021-04-30T12:25:10Z","timestamp":1619785510000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-16248-0_81"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642162473","9783642162480"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-16248-0_81","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2010]]}}}