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In this paper the authors present improvements to the Scale-free Network Regressor (SFNR), a dynamic ensemble-based method for regression that employs social networks theory. In order to detect concept drifts SFNR uses the Adaptive Window (ADWIN) algorithm. Results show improvements in accuracy, especially in concept drift situations and better performance compared to other state-of-the-art algorithms in both real and synthetic data.<\/p>","DOI":"10.4018\/ijncr.2015010102","type":"journal-article","created":{"date-parts":[[2015,3,11]],"date-time":"2015-03-11T08:33:28Z","timestamp":1426062808000},"page":"26-41","source":"Crossref","is-referenced-by-count":8,"title":["Advances on Concept Drift Detection in Regression Tasks Using Social Networks Theory"],"prefix":"10.4018","volume":"5","author":[{"given":"Jean Paul","family":"Barddal","sequence":"first","affiliation":[{"name":"Programa de P\u00f3s-Gradua\u00e7\u00e3o em Inform\u00e1tica, Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1, Curitiba, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heitor Murilo","family":"Gomes","sequence":"additional","affiliation":[{"name":"Programa de P\u00f3s-Gradua\u00e7\u00e3o em Inform\u00e1tica, Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1, Curitiba, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fabr\u00edcio","family":"Enembreck","sequence":"additional","affiliation":[{"name":"Programa de P\u00f3s-Gradua\u00e7\u00e3o em Inform\u00e1tica, Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1, Curitiba, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"ijncr.2015010102-0","doi-asserted-by":"publisher","DOI":"10.1103\/RevModPhys.74.47"},{"key":"ijncr.2015010102-1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40988-2_31"},{"key":"ijncr.2015010102-2","unstructured":"Barddal, J. 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