{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T08:48:26Z","timestamp":1776329306151,"version":"3.50.1"},"reference-count":57,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2016,1,1]]},"DOI":"10.1109\/tkde.2015.2458858","type":"journal-article","created":{"date-parts":[[2015,7,21]],"date-time":"2015-07-21T18:46:18Z","timestamp":1437504378000},"page":"238-251","source":"Crossref","is-referenced-by-count":343,"title":["To Combat Multi-Class Imbalanced Problems by Means of Over-Sampling Techniques"],"prefix":"10.1109","volume":"28","author":[{"given":"Lida","family":"Abdi","sequence":"first","affiliation":[]},{"given":"Sattar","family":"Hashemi","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"49","article-title":"On the generalized distance in statistics","volume":"2","author":"mahalanobis","year":"0","journal-title":"Proc Nat Inst Sci"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2228231"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2001.989527"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1080\/03610928008827904"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2008.239"},{"key":"ref30","first-page":"1322","article-title":"ADASYN: Adaptive synthetic sampling approach for imbalanced learning","author":"he","year":"0","journal-title":"Proc IEEE Int Joint Conf Neural Netw (IEEE World Congress Comput Intell)"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2007.08.044"},{"key":"ref36","first-page":"179","article-title":"Addressing the curse of imbalanced training sets: One-sided selection","volume":"97","author":"kubat","year":"0","journal-title":"Proc 14th Int Conf Mach Learn"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-62858-4_79"},{"key":"ref34","article-title":"Supervised machine learning: A review of classification techniques","author":"kotsiantis","year":"2007"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1968.1054155"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.143.1.7063747"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1028144844"},{"key":"ref2","first-page":"255","article-title":"KEEL data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework","volume":"17","author":"alcal\u00e1","year":"2010","journal-title":"J Multiple-Valued Logic Soft Comput"},{"key":"ref1","author":"acz\u00e9l","year":"1975","journal-title":"On Measures of Information and their Characterizations"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2011.02.019"},{"key":"ref22","first-page":"148","article-title":"Experiments with a new boosting algorithm","volume":"96","author":"freund","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref21","author":"frank","year":"0"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2011.06.013"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.2307\/2279372"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010920819831"},{"key":"ref25","first-page":"878","article-title":"Borderline-SMOTE: A new over-sampling method in imbalanced data sets learning","author":"han","year":"0","journal-title":"Proc Int Conf Adv Intell Comput"},{"key":"ref50","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1109\/TSMC.1976.4309452","article-title":"Two modifications of CNN","volume":"6","author":"tomek","year":"1976","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"ref51","article-title":"Imbalanced data set learning with synthetic samples","author":"wang","year":"0","journal-title":"Proc IRIS Machine Learning Workshop"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2006.17"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1002\/prot.21870"},{"key":"ref55","author":"witten","year":"2005","journal-title":"Data Mining Practical Machine Learning Tools and Techniques"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1972.4309137"},{"key":"ref53","article-title":"The Effect of Class Distribution on Classifier Learning: An Empirical Study","author":"weiss","year":"2001"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2012.2187280"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2009.5178874"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s12530-010-9021-y"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-008-0319-7"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2010.5596538"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-011-0222-1"},{"key":"ref14","first-page":"115","article-title":"Fast effective rule induction in machine learning","author":"cohen","year":"0","journal-title":"Proc 12th Int Conf Mach Learn"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s00211-007-0114-x"},{"key":"ref16","first-page":"1","article-title":"Statistical comparisons of classifiers over multiple data sets","volume":"7","author":"dem\u0161ar","year":"2006","journal-title":"Journal of Machine Learning Research"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1961.10482090"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-20847-8_26"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2013.01.018"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(96)00142-2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/1007730.1007735"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1007\/978-3-642-01307-2_43","article-title":"Safe-level-smote: Safe-level-synthetic minority over-sampling technique for handling the class imbalanced problem","author":"bunkhumpornpat","year":"2009","journal-title":"Proc 13th Pacific-Asia Conf Adv Knowl Discovery Data Mining"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/BF00058655"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/1007730.1007733"},{"key":"ref7","first-page":"341","article-title":"SMOTE: Synthetic minority over-sampling technique","author":"chawla","year":"2002","journal-title":"J Artif Intell Res"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-010-0349-9"},{"key":"ref9","first-page":"107","article-title":"SMOTEBoost: Improving prediction of the minority class in boosting","author":"chawla","year":"0","journal-title":"Proc 7th Eur Conf Principles Practice Knowl Discovery Databases"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2014.106"},{"key":"ref45","author":"rijsbergen","year":"1979","journal-title":"Information Retrieval"},{"key":"ref48","article-title":"Towards maximizing the area under the ROC Curve for multi-class classification problems","author":"tang","year":"0","journal-title":"Proc 25th AAAI Conf Artif Intell"},{"key":"ref47","first-page":"592","article-title":"Boosting for learning multiple classes with imbalanced class distribution","author":"sun","year":"0","journal-title":"Proc 6th Int Conf Data Mining"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-30220-6_31"},{"key":"ref41","first-page":"312","article-title":"Class imbalances versus class overlapping: An analysis of a learning system behavior","author":"prati","year":"0","journal-title":"Proc Adv Artif Intell"},{"key":"ref44","first-page":"101","article-title":"In defense of one-vs-all classification","author":"rifkin","year":"2004","journal-title":"Journal of Machine Learning Research"},{"key":"ref43","volume":"1","author":"quinlan","year":"1993","journal-title":"C4 5 Programs for Machine Learning"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/7347496\/07163639.pdf?arnumber=7163639","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:46:05Z","timestamp":1642005965000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7163639\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,1,1]]},"references-count":57,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2015.2458858","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,1,1]]}}}