{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T22:05:46Z","timestamp":1742940346636,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":13,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642221903"},{"type":"electronic","value":"9783642221910"}],"license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"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":[[2011]]},"DOI":"10.1007\/978-3-642-22191-0_1","type":"book-chapter","created":{"date-parts":[[2011,6,28]],"date-time":"2011-06-28T00:22:53Z","timestamp":1309220573000},"page":"1-15","source":"Crossref","is-referenced-by-count":0,"title":["A Mean Mutual Information Based Approach for Selecting Clustering Attribute"],"prefix":"10.1007","author":[{"given":"Hongwu","family":"Qin","sequence":"first","affiliation":[]},{"given":"Xiuqin","family":"Ma","sequence":"additional","affiliation":[]},{"given":"Jasni","family":"Mohamad Zain","sequence":"additional","affiliation":[]},{"given":"Norrozila","family":"Sulaiman","sequence":"additional","affiliation":[]},{"given":"Tutut","family":"Herawan","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"1_CR1","doi-asserted-by":"publisher","first-page":"879","DOI":"10.1016\/j.datak.2007.05.005","volume":"63","author":"D. Parmar","year":"2007","unstructured":"Parmar, D., Wu, T., Blackhurst, J.: MMR: an algorithm for clustering categorical data using rough set theory. Data and Knowledge Engineering\u00a063, 879\u2013893 (2007)","journal-title":"Data and Knowledge Engineering"},{"issue":"3","key":"1_CR2","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1023\/A:1009769707641","volume":"2","author":"Z. Huang","year":"1998","unstructured":"Huang, Z.: Extensions to the k-means algorithm for clustering large data sets with categori-cal values. Data Mining and Knowledge Discovery\u00a02(3), 283\u2013304 (1998)","journal-title":"Data Mining and Knowledge Discovery"},{"issue":"3-4","key":"1_CR3","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1007\/s007780050005","volume":"8","author":"D. Gibson","year":"2000","unstructured":"Gibson, D., Kleinberg, J., Raghavan, P.: Clustering categorical data: an approach based on dynamical systems. The Very Large Data Bases Journal\u00a08(3-4), 222\u2013236 (2000)","journal-title":"The Very Large Data Bases Journal"},{"issue":"5","key":"1_CR4","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1016\/S0306-4379(00)00022-3","volume":"25","author":"S. Guha","year":"2000","unstructured":"Guha, S., Rastogi, R., Shim, K.: ROCK: a robust clustering algorithm for categorical attributes. Information Systems\u00a025(5), 345\u2013366 (2000)","journal-title":"Information Systems"},{"key":"1_CR5","doi-asserted-by":"crossref","unstructured":"Ganti, V., Gehrke, J., Ramakrishnan, R.: CACTUS \u2013clustering categorical data using summaries. In: Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 73\u201383 (1999)","DOI":"10.1145\/312129.312201"},{"issue":"1","key":"1_CR6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"A. Dempster","year":"1977","unstructured":"Dempster, A., Laird, N., Rubin, D.: Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society\u00a039(1), 1\u201338 (1977)","journal-title":"Journal of the Royal Statistical Society"},{"key":"1_CR7","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 Science\u00a011, 341\u2013356 (1982)","journal-title":"International Journal of Computer and Information Science"},{"key":"1_CR8","unstructured":"Mazlack, L.J., He, A., Zhu, Y., Coppock, S.: A rough set approach in choosing clustering attributes. In: Proceedings of the ISCA 13th International Conference (CAINE 2000), pp. 1\u20136 (2000)"},{"issue":"1","key":"1_CR9","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1002\/1098-111X(200101)16:1<87::AID-INT7>3.0.CO;2-S","volume":"16","author":"Y.Y. Yao","year":"2001","unstructured":"Yao, Y.Y.: Information granulation and rough set approximation. International Journal of Intelligent Systems\u00a016(1), 87\u2013104 (2001)","journal-title":"International Journal of Intelligent Systems"},{"key":"1_CR10","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1016\/j.knosys.2009.12.003","volume":"23","author":"T. Herawan","year":"2010","unstructured":"Herawan, T., Deris, M.M., Abawajy, J.H.: A rough set approach for selecting clustering attribute. Knowledge-Based Systems\u00a023, 220\u2013231 (2010)","journal-title":"Knowledge-Based Systems"},{"key":"1_CR11","doi-asserted-by":"crossref","unstructured":"Barbara, D., Li, Y., Couto, J.: COOLCAT: an entropy-based algorithm for categorical clustering. In: Proc. of CIKM 2002, pp. 582\u2013589 (2002)","DOI":"10.1145\/584792.584888"},{"issue":"1","key":"1_CR12","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.ins.2006.06.003","volume":"177","author":"Z. Pawlak","year":"2007","unstructured":"Pawlak, Z., Skowron, A.: Rudiments of rough sets. Information Sciences: An International Journal\u00a0177(1), 3\u201327 (2007)","journal-title":"Information Sciences: An International Journal"},{"key":"1_CR13","unstructured":"Hu, X.: Knowledge discovery in databases: an attribute oriented rough set approach. Ph.D. Thesis, University of Regina (1995)"}],"container-title":["Communications in Computer and Information Science","Software Engineering and Computer Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-22191-0_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,6]],"date-time":"2025-03-06T19:23:15Z","timestamp":1741288995000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-22191-0_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642221903","9783642221910"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-22191-0_1","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2011]]}}}