{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T16:35:57Z","timestamp":1775838957934,"version":"3.50.1"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972176"],"award-info":[{"award-number":["61972176"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61472164"],"award-info":[{"award-number":["61472164"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61672262"],"award-info":[{"award-number":["61672262"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61572230"],"award-info":[{"award-number":["61572230"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61573166"],"award-info":[{"award-number":["61573166"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shandong Provincial Key R&D Program","award":["2018CXGC0706"],"award-info":[{"award-number":["2018CXGC0706"]}]},{"name":"Shandong Provincial Key R&D Program","award":["2017CXZC1206"],"award-info":[{"award-number":["2017CXZC1206"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2022,2,1]]},"DOI":"10.1109\/tkde.2020.2985965","type":"journal-article","created":{"date-parts":[[2020,4,10]],"date-time":"2020-04-10T20:49:23Z","timestamp":1586551763000},"page":"667-679","source":"Crossref","is-referenced-by-count":113,"title":["Gaussian Distribution Based Oversampling for Imbalanced Data Classification"],"prefix":"10.1109","volume":"34","author":[{"given":"Yuxi","family":"Xie","sequence":"first","affiliation":[]},{"given":"Min","family":"Qiu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3752-0806","authenticated-orcid":false,"given":"Haibo","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6009-522X","authenticated-orcid":false,"given":"Lizhi","family":"Peng","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4948-3803","authenticated-orcid":false,"given":"Zhenxiang","family":"Chen","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/1147234.1147236"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/5254.809570"},{"key":"ref3","first-page":"164","article-title":"Toward scalable learning with non-uniform class and cost distributions: A case study in credit card fraud detection","volume-title":"Proc. 4th Int. Conf. Knowl. Discovery Data Mining","volume":"98","author":"Chan"},{"key":"ref4","first-page":"97","article-title":"Evaluation of outlier detection schemes for detecting network intrusions","volume-title":"Proc. 3rd SIAM Int. Conf. Data Mining","author":"Lazarevic"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1023\/A:1007452223027","article-title":"Machine learning for the detection of oil spills in satellite radar images","volume":"30","author":"Kubat","year":"1998","journal-title":"Mach. Learn."},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2015.08.060"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2779849"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.12.043"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2013.08.014"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1002\/eap.2043"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1007730.1007735"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/11538059_91"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2008.4633969"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-01307-2_43"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401910"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.03.012"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.03.073"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.05.008"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2016.7743853"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-011-0465-6"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2012.232"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2779849"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2012.08.018"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2008.2007853"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2009.59"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.37"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2016.06.009"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCIC.2016.7919598"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2003.1250950"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2006.17"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2002.1000348"},{"key":"ref32","article-title":"Controlling the sensitivity of support vector machines","volume-title":"Proc. Int. Joint Conf. AI","volume":"55","author":"Veropoulos"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2015.7280419"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/8035089"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2015.04.042"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-39804-2_12"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCA.2009.2029559"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2579658"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2016.12.004"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.07.025"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.06.021"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2898861"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.9735\/2229-3981"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/s0031-3203(96)00142-2"},{"key":"ref45","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-Fdez","year":"2011","journal-title":"J. Multiple-Valued Logic Soft Comput."},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-05051-1_4"},{"issue":"1","key":"ref47","first-page":"559","article-title":"Imbalanced-learn: A python toolbox to tackle the curse of imbalanced datasets in machine learning","volume":"18","author":"Lema\u00eetre","year":"2017","journal-title":"J. Mach. Learn. Res."},{"key":"ref48","first-page":"55","article-title":"Controlling the sensitivity of support vector machines","volume-title":"Proc. Int. Joint Conf. AI","author":"Veropoulos"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2008.2007853"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.4324\/9780203489536"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1002\/9781118165881"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/9677034\/09063462.pdf?arnumber=9063462","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T22:27:34Z","timestamp":1704839254000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9063462\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,1]]},"references-count":51,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2020.2985965","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":[[2022,2,1]]}}}