{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T23:22:41Z","timestamp":1791501761814,"version":"4.3.4"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3034955","type":"journal-article","created":{"date-parts":[[2020,10,30]],"date-time":"2020-10-30T20:19:27Z","timestamp":1604089167000},"page":"198856-198871","source":"Crossref","is-referenced-by-count":13,"title":["On the Effectiveness of Discretizing Quantitative Attributes in Linear Classifiers"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4024-2517","authenticated-orcid":false,"given":"Nayyar A.","family":"Zaidi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4926-9233","authenticated-orcid":false,"given":"Yang","family":"Du","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9963-5169","authenticated-orcid":false,"given":"Geoffrey I.","family":"Webb","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"215","article-title":"An experimental investigation of the effect of discrete attributes on the precision of classification methods","author":"maleki","year":"2009","journal-title":"Proc IEEE Comm Inf Technol"},{"key":"ref38","first-page":"445","article-title":"Improving classification performance with discretization on biomedical datasets","author":"lustgarten","year":"2008","journal-title":"Proc AMIA Symp"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1093\/oxfordjournals.aje.a116026"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-008-5083-5"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.332.7549.1080"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1097\/00001648-199507000-00005"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/86.11.829"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1002\/sim.3966"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1093\/ije\/13.3.366"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.2307\/2532144"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1162\/089976604773135104"},{"key":"ref40","author":"lichman","year":"2017","journal-title":"UCI Machine Learning Repository"},{"key":"ref11","author":"witten","year":"2011","journal-title":"Data Mining Practical Machine Learning Tools and Techniques"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-31753-3_28"},{"key":"ref13","first-page":"393","article-title":"Discretization: An enabling technique","volume":"6","author":"liu","year":"2002","journal-title":"Mach Learn"},{"key":"ref14","first-page":"114","article-title":"Error-based and entropy-based discretization of continuous features","author":"kohavi","year":"1996","journal-title":"Proc AAAI"},{"key":"ref15","first-page":"309","article-title":"Why discretization works for Naive Bayesian classifiers","author":"hsu","year":"2000","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1023\/A:1026367023636"},{"key":"ref17","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref19","article-title":"Entity embeddings of categorical variables","author":"guo","year":"2016","journal-title":"arXiv 1604 06737"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1509\/jmkr.40.3.366.19237"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-377-6.50032-3"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974973.79"},{"key":"ref3","article-title":"The need for biases in learning generalizations","author":"mitchell","year":"1980"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611975321.52"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1037\/1082-989X.7.1.19"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2012.35"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511812651"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-016-5619-z"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1023\/B:MACH.0000035476.95130.99"},{"key":"ref9","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2014.53"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3233770"},{"key":"ref22","author":"nocedal","year":"2006","journal-title":"Numerical Optimization"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3326937.3341251"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45681-3_6"},{"key":"ref24","article-title":"Lecture 6.5—RmsProp: Divide the gradient by a running average of its recent magnitude","author":"tieleman","year":"2012","journal-title":"Proc Neural Netw Mach Learn (COURSERA)"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994007"},{"key":"ref23","first-page":"2121","article-title":"Adaptive subgradient methods for online learning and stochastic optimization","volume":"12","author":"duchi","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007659514849"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-0427(00)00426-X"},{"key":"ref43","first-page":"275","article-title":"Bias plus variance decomposition for zero-one loss functions","author":"kohavi","year":"1996","journal-title":"Proc ICML"},{"key":"ref25","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09245528.pdf?arnumber=9245528","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T15:57:46Z","timestamp":1642003066000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9245528\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3034955","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}