{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,2]],"date-time":"2025-05-02T11:57:52Z","timestamp":1746187072484},"reference-count":0,"publisher":"Zarqa University","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IAJIT"],"published-print":{"date-parts":[[2022,1,1]]},"abstract":"<jats:p>Ensemble classification is an actively researched paradigm that has received much attention due to increasing real-world applications. The crucial issue of ensemble learning is to construct a pool of base classifiers with accuracy and diversity. In this paper, unlike conventional data-streams oriented ensemble methods, we propose a novel Measure via both Accuracy and Diversity (MAD) instead of one of them to supervise ensemble learning. Based on MAD, a novel online ensemble method called Accuracy and Diversity weighted Ensemble (ADE) effectively handles concept drift in data streams. ADE mainly uses the following three steps to construct a concept-drift oriented ensemble: for the current data window, 1) a new base classifier is constructed based on the current concept when drift detect, 2) MAD is used to measure the performance of ensemble members, and 3) a newly built classifier replaces the worst base classifier. If the newly constructed classifier is the worst one, the replacement has not occurred. Comparing with the state-of-art algorithms, ADE exceeds the current best-related algorithm by 2.38% in average classification accuracy. Experimental results show that the proposed method can effectively adapt to different types of drifts.<\/jats:p>","DOI":"10.34028\/iajit\/19\/1\/11","type":"journal-article","created":{"date-parts":[[2021,12,26]],"date-time":"2021-12-26T10:51:01Z","timestamp":1640515861000},"source":"Crossref","is-referenced-by-count":1,"title":["Ensemble based on Accuracy and Diversity Weighting for Evolving Data Streams"],"prefix":"10.34028","author":[{"given":"Yange","family":"Sun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Han","family":"Shao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bencai","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"19944","published-online":{"date-parts":[[2022,1,1]]},"container-title":["The International Arab Journal of Information Technology"],"original-title":[],"language":"en","deposited":{"date-parts":[[2022,1,4]],"date-time":"2022-01-04T10:32:46Z","timestamp":1641292366000},"score":1,"resource":{"primary":{"URL":"http:\/\/iajit.org\/portal\/images\/Year2022\/No.1\/19531.pdf"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,1]]},"references-count":0,"URL":"https:\/\/doi.org\/10.34028\/iajit\/19\/1\/11","archive":["Internet Archive"],"relation":{},"ISSN":["2309-4524","1683-3198"],"issn-type":[{"value":"2309-4524","type":"electronic"},{"value":"1683-3198","type":"print"}],"subject":[],"published":{"date-parts":[[2022,1,1]]}}}