{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T15:53:51Z","timestamp":1725551631460},"publisher-location":"Berlin, Heidelberg","reference-count":15,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540643838"},{"type":"electronic","value":"9783540697688"}],"license":[{"start":{"date-parts":[[1998,1,1]],"date-time":"1998-01-01T00:00:00Z","timestamp":883612800000},"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":[[1998]]},"DOI":"10.1007\/3-540-64383-4_26","type":"book-chapter","created":{"date-parts":[[2010,4,5]],"date-time":"2010-04-05T17:12:11Z","timestamp":1270487531000},"page":"310-321","source":"Crossref","is-referenced-by-count":2,"title":["Improved rule discovery performance on uncertainty"],"prefix":"10.1007","author":[{"given":"Mehmet R.","family":"Tolun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hayri","family":"Sever","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mahmut","family":"Uluda\u011f","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2005,8,25]]},"reference":[{"key":"26_CR1","first-page":"261","volume":"3","author":"P. Clark","year":"1989","unstructured":"Clark, P. & Niblett, T., (1989). \u201cThe CN2 Induction Algorithm\u201d, Machine Learning, 3, pp.261\u2013283.","journal-title":"Machine Learning"},{"key":"26_CR2","unstructured":"Deogun, J. S., Raghavan, V. V., Sarkar A., and Sever, H., (1997). \u201cData Mining: Trends in Research and Development\u201d, Rough Sets and Data Mining: Analysis for imprecise Data. (T. Y. Lin and N. Cercone, Eds), Kluwer Academic Publishers."},{"key":"26_CR3","doi-asserted-by":"crossref","unstructured":"Fayyad U.M. (1996). \u201cData Mining and Knowledge Discovery: Making Sense Out of Data\u201d, IEEE Expert, October, pp. 20\u201325.","DOI":"10.1109\/64.539013"},{"key":"26_CR4","unstructured":"Kohavi, R., Sommerfield, D., & Dougherty, J., (1996). \u201cData Mining Using MLC++: A Machine Learning Library in C++\u201d, Tools with Al, pp. 234\u2013245."},{"key":"26_CR5","volume-title":"Elements of Machine Learning","author":"P. Langley","year":"1996","unstructured":"Langley, P., (1996). Elements of Machine Learning. San Francisco: Morgan Kaufmann Publishers."},{"issue":"6","key":"26_CR6","doi-asserted-by":"publisher","first-page":"903","DOI":"10.1109\/69.250073","volume":"5","author":"C.J. Matheus","year":"1993","unstructured":"Matheus, C.J., Chan, P. K., & Piatetsky-Shapiro, G., (1993). \u201cSystems for Knowledge Discovery in Databases\u201d, IEEE Trans. on Knowledge and Data Engineering, 5(6), pp.903\u2013912.","journal-title":"IEEE Trans. on Knowledge and Data Engineering"},{"key":"26_CR7","volume-title":"UCI Repository of Machine Learning Databases","author":"C. J. Merz","year":"1997","unstructured":"Merz, C. J., & Murphy, P. M., (1997). UCI Repository of Machine Learning Databases, http:\/\/www.ics.uci.edu\/~mlearn\/MLRepository.html, Irvine, CA: University of California, Department of Information and Computer Science."},{"key":"26_CR8","unstructured":"Murthy, S.K., Kasif, S., & Salzberg, S., (1994). \u201cA System for Induction of Oblique Decision Trees\u201d, Journal of Artificial Intelligence Research, 2, pp. l\u201332."},{"key":"26_CR9","unstructured":"Quinlan J.R. 1986. \u201cInduction of Decision Trees\u201d, Machine Learning, 1, pp. 811\u201306."},{"key":"26_CR10","volume-title":"C4.5: Programs for Machine Learning","author":"J.R. Quinlan","year":"1993","unstructured":"Quinlan, J.R., (1993). C4.5: Programs for Machine Learning. Philadelphia, PA: Morgan Kaufmann."},{"key":"26_CR11","doi-asserted-by":"crossref","unstructured":"Quinlan, J.R., (1994). \u201cThe Minimum Description Length Principle and Categorical Theories\u201d, Proceedings of the 11th International Conference on Machine Learning, pp. 233\u2013241.","DOI":"10.1016\/B978-1-55860-335-6.50036-2"},{"key":"26_CR12","unstructured":"Salzberg, S., (1995). \u201cOn Comparing Classifiers: A critique of current research and Methods\u201d, Technical Report JHU-5\/06, Department of Computer Science, John Hopkins University, May 1995."},{"key":"26_CR13","doi-asserted-by":"crossref","unstructured":"Simoudis E. (1996), \u201cReality Check for Data Mining\u201d, IEEE Expert, October, pp. 26\u201333.","DOI":"10.1109\/64.539014"},{"key":"26_CR14","doi-asserted-by":"crossref","unstructured":"Tolun, M.R., & Abu-Soud, S.M., (1998). \u201cILA: An Inductive Learning Algorithm for Rule Extraction\u201d, to appear in Expert Systems with Applications.","DOI":"10.1016\/S0957-4174(97)00089-4"},{"key":"26_CR15","doi-asserted-by":"crossref","unstructured":"Zadeh, L. A., (1994). \u201cSoft Computing and Fuzzy Logic\u201d, IEEE Software, pp 48\u201356.","DOI":"10.1109\/52.329401"}],"container-title":["Lecture Notes in Computer Science","Research and Development in Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-64383-4_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,27]],"date-time":"2019-05-27T20:31:18Z","timestamp":1558989078000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-64383-4_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1998]]},"ISBN":["9783540643838","9783540697688"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/3-540-64383-4_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[1998]]}}}