{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T01:06:57Z","timestamp":1705540017320},"reference-count":30,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Info. Know. Mgmt."],"published-print":{"date-parts":[[2021,6]]},"abstract":"<jats:p> Concept drift detection algorithms have historically been faithful to the aged architecture of forcefully resetting the base classifiers for each detected drift. This approach prevents underlying classifiers becoming outdated as the distribution of a data stream shifts from one concept to another. In situations where both concept drift and temporal dependence are present within a data stream, forced resetting can cause complications in classifier evaluation. Resetting the base classifier too frequently when temporal dependence is present can cause classifier performance to appear successful, when in fact this is misleading. In this research, a novel architectural method for determining base classifier resets, Burst Detection-Based Selective Classifier Resetting (BD-SCR), is presented. BD-SCR statistically monitors changes in the temporal dependence of a data stream to determine if a base classifier should be reset for detected drifts. The experimental process compares the predictive performance of state-of-the-art drift detectors in comparison to the \u201cNo-Change\u201d detector using BD-SCR to inform and control the resetting decision. Results show that BD-SCR effectively reduces the negative impact of temporal dependence during concept drift detection through a clear negation in the performance of the \u201cNo-Change\u201d detector, but is capable of maintaining the predictive performance of state-of-the-art drift detection methods. <\/jats:p>","DOI":"10.1142\/s0219649221500271","type":"journal-article","created":{"date-parts":[[2021,4,26]],"date-time":"2021-04-26T08:52:57Z","timestamp":1619427177000},"page":"2150027","source":"Crossref","is-referenced-by-count":1,"title":["Burst Detection-Based Selective Classifier Resetting"],"prefix":"10.1142","volume":"20","author":[{"given":"Scott","family":"Wares","sequence":"first","affiliation":[{"name":"Robert Gordon University, Sir Ian Wood Building Robert Gordon University, Garthdee Road, Aberdeen AB10 7GJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Isaacs","sequence":"additional","affiliation":[{"name":"Robert Gordon University, Sir Ian Wood Building Robert Gordon University, Garthdee Road, Aberdeen AB10 7GJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eyad","family":"Elyan","sequence":"additional","affiliation":[{"name":"Robert Gordon University, Sir Ian Wood Building Robert Gordon University, Garthdee Road, Aberdeen AB10 7GJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2021,4,23]]},"reference":[{"key":"S0219649221500271BIB001","first-page":"77","volume-title":"Fourth International Workshop on Knowledge Discovery from Data Streams","volume":"6","author":"Baena-Garc\u0131a M","year":"2006"},{"key":"S0219649221500271BIB002","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.08.023"},{"key":"S0219649221500271BIB003","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59060-8_64"},{"key":"S0219649221500271BIB004","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972771.42"},{"key":"S0219649221500271BIB005","first-page":"1601","volume":"11","author":"Bifet A","year":"2010","journal-title":"Journal of Machine Learning Research"},{"key":"S0219649221500271BIB006","doi-asserted-by":"publisher","DOI":"10.1016\/S0168-1699(99)00046-0"},{"key":"S0219649221500271BIB007","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623709"},{"key":"S0219649221500271BIB008","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.02.054"},{"key":"S0219649221500271BIB009","doi-asserted-by":"publisher","DOI":"10.1145\/347090.347107"},{"key":"S0219649221500271BIB010","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-018-1254-7"},{"issue":"6","key":"S0219649221500271BIB011","first-page":"708","volume":"54","author":"Earle PS","year":"2012","journal-title":"Annals of Geophysics"},{"key":"S0219649221500271BIB012","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.10.031"},{"key":"S0219649221500271BIB013","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2017.10.006"},{"key":"S0219649221500271BIB014","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-28645-5_29"},{"key":"S0219649221500271BIB015","first-page":"1652","volume-title":"AAAI\u201916: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence","author":"Haque A","year":"2016"},{"key":"S0219649221500271BIB016","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2016.7498264"},{"key":"S0219649221500271BIB017","volume-title":"Splice-2 Comparative Evaluation: Electricity Pricing","author":"Harries M","year":"1999"},{"key":"S0219649221500271BIB018","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2003.1250911"},{"key":"S0219649221500271BIB019","doi-asserted-by":"publisher","DOI":"10.1109\/I4CS.2015.7294490"},{"key":"S0219649221500271BIB020","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.11.009"},{"key":"S0219649221500271BIB021","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCAS.2013.6765241"},{"key":"S0219649221500271BIB022","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/41.1-2.100"},{"key":"S0219649221500271BIB023","doi-asserted-by":"publisher","DOI":"10.1093\/gji\/ggt516"},{"key":"S0219649221500271BIB024","doi-asserted-by":"publisher","DOI":"10.1145\/502512.502568"},{"key":"S0219649221500271BIB025","doi-asserted-by":"publisher","DOI":"10.1145\/956750.956778"},{"key":"S0219649221500271BIB026","doi-asserted-by":"publisher","DOI":"10.1007\/s42452-019-1433-0"},{"key":"S0219649221500271BIB027","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974973.86"},{"key":"S0219649221500271BIB028","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfranklin.2019.01.043"},{"key":"S0219649221500271BIB029","doi-asserted-by":"publisher","DOI":"10.1145\/956750.956789"},{"key":"S0219649221500271BIB030","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-014-5441-4"}],"container-title":["Journal of Information &amp; 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