{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T12:43:07Z","timestamp":1781354587345,"version":"3.54.1"},"reference-count":16,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,10]]},"DOI":"10.1109\/bigdata.2014.7004352","type":"proceedings-article","created":{"date-parts":[[2015,1,13]],"date-time":"2015-01-13T20:04:23Z","timestamp":1421179463000},"page":"23-28","source":"Crossref","is-referenced-by-count":26,"title":["Calculating feature importance in data streams with concept drift using Online Random Forest"],"prefix":"10.1109","author":[{"given":"Andrew Phelps","family":"Cassidy","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Frank A.","family":"Deviney","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"15","article-title":"R: A language and environment for statistical computing","year":"2013","journal-title":"Vienna Austria R Foundation for Statistical Computing"},{"key":"16","first-page":"18","article-title":"Classification and regression by randomforest","volume":"2","author":"liaw","year":"2002","journal-title":"R News"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2003.1250911"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1145\/956755.956778"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1109\/ICSMC.2005.1571498"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-012-9349-1"},{"key":"3","first-page":"5","article-title":"Classifier ensembles for detecting concept change in streaming data: Overview and perspectives","volume":"2008","author":"kuncheva","year":"2008","journal-title":"Proc 2nd Workshop SUEMA"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2004.10.002"},{"key":"1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-30214-8_4"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1007\/BF00058655"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2009.5457447"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1145\/502512.502529"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1109\/5326.983933"},{"key":"4","first-page":"447","article-title":"Determining the training window for small sample size classification with concept drift","author":"zliobaite","year":"2009","journal-title":"Presented at the IEEE International Conference on Data Mining"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ygeno.2012.04.003"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"}],"event":{"name":"2014 IEEE International Conference on Big Data (Big Data)","location":"Washington, DC, USA","start":{"date-parts":[[2014,10,27]]},"end":{"date-parts":[[2014,10,30]]}},"container-title":["2014 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6973861\/7004197\/07004352.pdf?arnumber=7004352","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,3,24]],"date-time":"2017-03-24T06:23:25Z","timestamp":1490336605000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7004352\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,10]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/bigdata.2014.7004352","relation":{},"subject":[],"published":{"date-parts":[[2014,10]]}}}