{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T02:09:08Z","timestamp":1767665348478},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[1999,2,1]],"date-time":"1999-02-01T00:00:00Z","timestamp":917827200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[1999,2,1]],"date-time":"1999-02-01T00:00:00Z","timestamp":917827200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Knowledge and Information Systems"],"published-print":{"date-parts":[[1999,2]]},"DOI":"10.1007\/bf03325090","type":"journal-article","created":{"date-parts":[[2013,7,25]],"date-time":"2013-07-25T22:41:29Z","timestamp":1374792089000},"page":"33-60","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["Data Mining via Discretization, Generalization and Rough Set Feature Selection"],"prefix":"10.1007","volume":"1","author":[{"given":"Xiaohua","family":"Hu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nick","family":"Cercone","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2013,7,13]]},"reference":[{"issue":"1\u20132","key":"BF03325090_CR1","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1016\/0004-3702(94)90084-1","volume":"69","author":"H Almuallim","year":"1994","unstructured":"H. Almuallim, T.G. Dietterich. Learning Boolean concepts in the presence of many irrelevant features. Artificial Intelligence\n                           69(1\u20132), 279\u2013305, 1994.","journal-title":"Artificial Intelligence"},{"key":"BF03325090_CR2","doi-asserted-by":"crossref","unstructured":"N. Cercone, W. Ziarko, X. Hu. Rule discovery from databases: A decision matrix approach. In: R. Zbigniew, M. Zemankova (eds.), Methodologies for Intelligent System, LNAI 1079, Springer-Verlag, 1996, pp.653-662","DOI":"10.1007\/3-540-61286-6_189"},{"issue":"6","key":"BF03325090_CR3","doi-asserted-by":"publisher","first-page":"866","DOI":"10.1109\/69.553155","volume":"8","author":"M Chen","year":"1996","unstructured":"M. Chen, J. Han, P. Yu. Data mining: An overview from database perspective, IEEE Trans. Knowledge and Data Engineering\n                           8(6), 866\u2013883, 1996.","journal-title":"IEEE Trans. Knowledge and Data Engineering"},{"key":"BF03325090_CR4","unstructured":"P. Domingos. Rule induction and instance-based learning: A unified approach. In: Proc. 14th International Joint Conference on AI, Morgan Kaufmann, 1995, pp.1226-1232."},{"key":"BF03325090_CR5","unstructured":"U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, R. Uthurusamy (eds.). Advances in Knowledge Discovery and Data Mining, AAAI Press, 1996."},{"key":"BF03325090_CR6","unstructured":"M. Gams. New measurements highlight the importance of redundant knowledge. In: Proc. 3rd Europe Working Session on Learning, Springer-Verlag, 1989, pp.71-80."},{"key":"BF03325090_CR7","unstructured":"J. Han, Y. Cai, N. Cercone. Knowledge discovery in databases: An attribute-oriented approach. In: Proc. 18th VLDB Conference, Morgan Kaufmann, 1992, pp.335-350."},{"key":"BF03325090_CR8","unstructured":"R. Hilderman, C. Carter, H. Hamilton, N. Cercone. Mining association rules from market basket analysis using share measures and characterized itemsets, Int. J. Artificial Intelligence Tools, in press."},{"issue":"3","key":"BF03325090_CR9","first-page":"221","volume":"9","author":"S Hong","year":"1997","unstructured":"S. Hong. Use of contextual information for feature ranking and discretization, IEEE Trans. Knowledge and Data Engineering\n                           9(3), 221\u2013233, 1997.","journal-title":"IEEE Trans. Knowledge and Data Engineering"},{"issue":"4","key":"BF03325090_CR10","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/0893-9659(94)90006-X","volume":"7","author":"X Hu","year":"1994","unstructured":"X. Hu. Object aggregation and cluster identification: A knowledge discovery approach, Applied Math. Letter\n                           7(4), 29\u201334, 1994.","journal-title":"Applied Math. Letter"},{"key":"BF03325090_CR11","unstructured":"X. Hu, N. Cercone, J. Xie. Learning data trend regularities from databases in a dynamic environment. In: Proc. AAAI Knowledge Discovery in Databases Workshop, 1994, pp.323-334"},{"issue":"5","key":"BF03325090_CR12","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1111\/j.1467-8640.1995.tb00035.x","volume":"12","author":"X Hu","year":"1995","unstructured":"X. Hu, N. Cercone. Learning from relational databases, Computational Intelligence: An International Journal\n                           12(5), 323\u2013338, 1995.","journal-title":"Computational Intelligence: An International Journal"},{"key":"BF03325090_CR13","unstructured":"X. Hu, N. Cercone. Rough set based similarity learning from databases. In: Proc. First International Conference on Knowledge Discovery and Data Mining, AAAI, 1995, pp.162-167."},{"key":"BF03325090_CR14","unstructured":"X. Hu, N. Cercone. Mining knowledge rules from databases: A rough set approach. In: Proc. 12th International Conference on Data Engineering, 1996, pp.96-105."},{"key":"BF03325090_CR15","doi-asserted-by":"crossref","unstructured":"G. John, R. Kohavi, K. Pfleger. Irrelevant features And the subset selection problem, Proc. 11th International Conference on Machine Learning, Morgan Kaufmann, 1994, pp.121-129.","DOI":"10.1016\/B978-1-55860-335-6.50023-4"},{"key":"BF03325090_CR16","unstructured":"R. Kerber. ChiMerge: Discretization of numeric attribute. In: Proc. 10th National Conference on AI, AAAI, 1992, pp.123-128."},{"key":"BF03325090_CR17","unstructured":"K. Kira, L. Rendell. The feature selection problem: Traditional methods and a new algorithm. In: Proc. 10th National Conference on AI, AAAI, 1992, pp.129-134."},{"key":"BF03325090_CR18","unstructured":"R. Kohavi, H. John. Wrappers for feature subset selection, Artificial Intelligence Review (special issue in relevance), in press."},{"key":"BF03325090_CR19","unstructured":"R. Kohavi, M. Sahami. Error-based and entropy-based discretization of continuous features. In: Proc. Second International Conference on Knowledge Discovery and Data Mining, AAAI, 1996, pp.114-119."},{"key":"BF03325090_CR20","unstructured":"D. Koller, M. Sahami. Toward optimal feature selection. In: Proc. 13th International Conference on Machine Learning, Morgan Kaufmann, 1996, pp.284-292"},{"key":"BF03325090_CR21","unstructured":"S. Kullback. Information Theory and Statistics, Dover Publications, 1968."},{"key":"BF03325090_CR22","doi-asserted-by":"crossref","unstructured":"UT.Y. Lin, N. Cercone. Rough Set and Data Mining: Analysis of Imprecise Data, Kluwer Academic Publisher, 1997.","DOI":"10.1007\/978-1-4613-1461-5"},{"key":"BF03325090_CR23","unstructured":"H. Liu, R. Setiono. Chi2: Feature selection and discretization of numerical attributes. In: Proc. 8th IEEE Tools on AI, 1996, pp.388-391."},{"key":"BF03325090_CR24","unstructured":"H. Liu, R. Setiono. A probabilistic approach to feature selection\u2014A filter solution. In: Proc. 13th International Conference on Machine Learning, Morgan Kaufmann, 1996, pp.319-327."},{"key":"BF03325090_CR25","unstructured":"R. Michalski, L. Mozetic, J. Hong, N. Lavrac. The Multi-purpose incremental learning system AQ15 and its testing application to three medical domains. In: Proc. 5th National Conference on AI, AAAI, 1986, pp. 1041-1045."},{"key":"BF03325090_CR26","unstructured":"M. Modrzejewski. Feature selection using rough sets theory. In: Proc. 5th Europe Conference on Machine learning, Springer-Verlag, 1993, pp.78-85."},{"key":"BF03325090_CR27","unstructured":"P. Murphy, W. Aha. UCI repository of machine learning databases, http:\/\/www.ics.uci.edu\/mlearn\/MLRepository.html, 1996."},{"issue":"1","key":"BF03325090_CR28","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1613\/jair.41","volume":"1","author":"P Murphy","year":"1994","unstructured":"P. Murphy, M. Pazzani. Exploring the decision forest: An empirical investigation of Occam\u2019s razor in decision tree induction, J. Artificial Intelligence Research, 1(1), 257\u2013275, Morgan Kaufmann, 1994.","journal-title":"J. Artificial Intelligence Research"},{"key":"BF03325090_CR29","doi-asserted-by":"crossref","unstructured":"Z. Pawlak. Rough sets: Theoretical aspects of reasoning about data, Kluwer Academic Publishers, 1992.","DOI":"10.1007\/978-94-011-3534-4_7"},{"key":"BF03325090_CR30","unstructured":"J. R. Quinlan. C4.5: Program for Machine Learning, Morgan Kaufmann, 1993."},{"key":"BF03325090_CR31","unstructured":"R. Rymon. An SE-tree based characterization of the induction problem. In: Proc. 10th International Conference on Machine Learning, Morgan Kaufmann, 1993, pp.134-142."},{"key":"BF03325090_CR32","unstructured":"E. Simoudis, J. Han, U. Fayyad (eds.). Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, AAAI Press, 1996."},{"key":"BF03325090_CR33","doi-asserted-by":"crossref","unstructured":"L. Torgo. Controlled redundancy in incremental rule learning. In: Proc. 5th European Conference on Machine Learning, Springer-Verlag, 1993, pp. 185-195.","DOI":"10.1007\/3-540-56602-3_136"},{"key":"BF03325090_CR34","unstructured":"S. Tsumoto, S. Kobayashi, T. Yokpmori, H. Tanaka, A. Nakamura (eds.). Proceedings of the 4th International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery, The University of Tokyo Press, 1996."},{"issue":"1","key":"BF03325090_CR35","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/0022-0000(93)90048-2","volume":"46","author":"W Ziarko","year":"1993","unstructured":"W. Ziarko. Variable precision rough set model, J. Computer and System Sciences\n                           46(1), Academic, 1993, 125\u2013142.","journal-title":"J. Computer and System Sciences"}],"container-title":["Knowledge and Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/BF03325090.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/BF03325090\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/BF03325090","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/BF03325090.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,17]],"date-time":"2022-05-17T00:06:59Z","timestamp":1652746019000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/BF03325090"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1999,2]]},"references-count":35,"journal-issue":{"issue":"1","published-print":{"date-parts":[[1999,2]]}},"alternative-id":["BF03325090"],"URL":"https:\/\/doi.org\/10.1007\/bf03325090","relation":{},"ISSN":["0219-1377","0219-3116"],"issn-type":[{"value":"0219-1377","type":"print"},{"value":"0219-3116","type":"electronic"}],"subject":[],"published":{"date-parts":[[1999,2]]},"assertion":[{"value":"10 July 1998","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 September 1998","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 October 1998","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 July 2013","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}