{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T03:37:30Z","timestamp":1776137850423,"version":"3.50.1"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319126098","type":"print"},{"value":"9783319126104","type":"electronic"}],"license":[{"start":{"date-parts":[[2014,11,23]],"date-time":"2014-11-23T00:00:00Z","timestamp":1416700800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2014,11,23]],"date-time":"2014-11-23T00:00:00Z","timestamp":1416700800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-12610-4_7","type":"book-chapter","created":{"date-parts":[[2014,12,2]],"date-time":"2014-12-02T17:49:27Z","timestamp":1417542567000},"page":"101-118","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Feature Discretization with Relevance and Mutual Information Criteria"],"prefix":"10.1007","author":[{"given":"Artur J.","family":"Ferreira","sequence":"first","affiliation":[]},{"given":"M\u00e1rio A. T.","family":"Figueiredo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2014,11,23]]},"reference":[{"key":"7_CR1","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1109\/72.298224","volume":"5","author":"R Battiti","year":"1994","unstructured":"Battiti, R.: Using mutual information for selecting features in supervised neural net learning. IEEE Trans. Neural Networks 5, 537\u2013550 (1994)","journal-title":"IEEE Trans. Neural Networks"},{"key":"7_CR2","first-page":"27","volume":"13","author":"G Brown","year":"2012","unstructured":"Brown, G., Pocock, A., Zhao, M., Luj\u00e1n, M.: Conditional likelihood maximisation: a unifying framework for information theoretic feature selection. J. Mach. Learn. Res. 13, 27\u201366 (2012)","journal-title":"J. Mach. Learn. Res."},{"key":"7_CR3","unstructured":"Chiu, D., Wong, A., Cheung, B.: Information discovery through hierarchical maximum entropy discretization and synthesis. In: Proceedings of the Knowledge Discovery in Databases, pp. 125\u2013140 (1991)"},{"key":"7_CR4","doi-asserted-by":"publisher","DOI":"10.1002\/0471200611","volume-title":"Elements of Information Theory","author":"T Cover","year":"1991","unstructured":"Cover, T., Thomas, J.: Elements of Information Theory. Wiley, Hoboken (1991)"},{"key":"7_CR5","doi-asserted-by":"crossref","unstructured":"Dougherty, J., Kohavi, R., Sahami, M.: Supervised and unsupervised discretization of continuous features. In: International Conference on Machine Learning (ICML), pp. 194\u2013202 (1995)","DOI":"10.1016\/B978-1-55860-377-6.50032-3"},{"key":"7_CR6","unstructured":"Fayyad, U., Irani, K.: Multi-interval discretization of continuous-valued attributes for classification learning. In: Proceedings of International Joint Conference on Artifficial Intelligence (IJCAI), pp. 1022\u20131027 (1993)"},{"key":"7_CR7","doi-asserted-by":"publisher","first-page":"3048","DOI":"10.1016\/j.patcog.2011.12.008","volume":"45","author":"A Ferreira","year":"2012","unstructured":"Ferreira, A., Figueiredo, M.: An unsupervised approach to feature discretization and selection. Pattern Recog. 45, 3048\u20133060 (2012)","journal-title":"Pattern Recog."},{"key":"7_CR8","unstructured":"Frank, A., Asuncion, A.: UCI machine learning repository, available at http:\/\/archive.ics.uci.edu\/ml (2010)"},{"issue":"4","key":"7_CR9","doi-asserted-by":"publisher","first-page":"734","DOI":"10.1109\/TKDE.2012.35","volume":"25","author":"S Garcia","year":"2013","unstructured":"Garcia, S., Luengo, J., Saez, J., Lopez, V., Herrera, F.: A survey of discretization techniques: taxonomy and empirical analysis in supervised learning. IEEE Trans. Knowl. Data Eng. 25(4), 734\u2013750 (2013)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"4","key":"7_CR10","doi-asserted-by":"publisher","first-page":"368","DOI":"10.1109\/TIT.1970.1054466","volume":"16","author":"M Hellman","year":"1970","unstructured":"Hellman, M.: Probability of error, equivocation, and the Chernoff bound. IEEE Trans. Inf. Theory 16(4), 368\u2013372 (1970)","journal-title":"IEEE Trans. Inf. Theory"},{"issue":"1","key":"7_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10115-008-0142-6","volume":"19","author":"R Jin","year":"2009","unstructured":"Jin, R., Breitbart, Y., Muoh, C.: Data discretization unification. Knowl. Inf. Syst. 19(1), 1\u201329 (2009)","journal-title":"Knowl. Inf. Syst."},{"key":"7_CR12","unstructured":"Kononenko, I.: On biases in estimating multi-valued attributes. In: Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), pp. 1034\u20131040 (1995)"},{"issue":"1","key":"7_CR13","first-page":"47","volume":"32","author":"S Kotsiantis","year":"2006","unstructured":"Kotsiantis, S., Kanellopoulos, D.: Discretization techniques: a recent survey. GESTS Int. Trans. Comput. Sci. Eng. 32(1), 47\u201358 (2006)","journal-title":"GESTS Int. Trans. Comput. Sci. Eng."},{"issue":"2","key":"7_CR14","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1109\/TKDE.2004.1269594","volume":"16","author":"L Kurgan","year":"2004","unstructured":"Kurgan, L., Cios, K.: CAIM discretization algorithm. IEEE Trans. Knowl. Data Eng. 16(2), 145\u2013153 (2004)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"7_CR15","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1109\/TCOM.1980.1094577","volume":"28","author":"Y Linde","year":"1980","unstructured":"Linde, Y., Buzo, A., Gray, R.: An algorithm for vector quantizer design. IEEE Trans. Commun. 28, 84\u201394 (1980)","journal-title":"IEEE Trans. Commun."},{"issue":"4","key":"7_CR16","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., Dash, M.: Discretization: an enabling technique. Data Min. Knowl. Disc. 6(4), 393\u2013423 (2002)","journal-title":"Data Min. Knowl. Disc."},{"key":"7_CR17","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-1570-2","volume-title":"Information Theoretic Learning: Renyi\u2019s Entropy and Kernel Perspectives","author":"J Principe","year":"2010","unstructured":"Principe, J.: Information Theoretic Learning: Renyi\u2019s Entropy and Kernel Perspectives, 1st edn. Springer, Heidelberg (2010)","edition":"1"},{"key":"7_CR18","unstructured":"Santhi, N., Vardy, A.: On an improvement over R\u00e9nyi\u2019s equivocation bound. In: 44-th Annual Allerton Conference on Communication, Control, and Computing (2006)"},{"key":"7_CR19","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. Inf. Sci. 178, 714\u2013731 (2008)","journal-title":"Inf. Sci."},{"key":"7_CR20","volume-title":"Data Mining: Practical Machine Learning Tools and Techniques","author":"I Witten","year":"2005","unstructured":"Witten, I., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques. Elsevier, Morgan Kauffmann, Burlington (2005)"},{"key":"7_CR21","doi-asserted-by":"crossref","unstructured":"Yang, Y., Webb, G.: Proportional k-interval discretization for na\u00efve-Bayes classifiers. In: 12th European Conference on Machine Learning, (ECML), pp. 564\u2013575 (2001)","DOI":"10.1007\/3-540-44795-4_48"}],"container-title":["Advances in Intelligent Systems and Computing","Pattern Recognition Applications and Methods"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-12610-4_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,24]],"date-time":"2023-01-24T09:25:21Z","timestamp":1674552321000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-12610-4_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,11,23]]},"ISBN":["9783319126098","9783319126104"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-12610-4_7","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"value":"2194-5357","type":"print"},{"value":"2194-5365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,11,23]]},"assertion":[{"value":"23 November 2014","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}