{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T05:25:26Z","timestamp":1740115526925,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"abstract":"<jats:p>This paper proposed a decision tree algorithm based on attribute deviation. The algorithm classified the target attribute values and replaced the &amp;ldquo;entropy&amp;rdquo; in the ID3 algorithm with a new classification rule. The new rules considered the deviation of the sample size for different attributes in the data set, completing a quick and detailed classification. At the same time, this classification rule solved the deviation caused by the decision tree bias selects multi-valued attributes. In this paper, a simulation experiment was conducted in UCI data set. The results showed that the attribute deviation algorithm has higher classification accuracy and shorter computation time than ID3 algorithm.<\/jats:p>","DOI":"10.3233\/978-1-61499-828-0-441","type":"book-chapter","created":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T12:06:08Z","timestamp":1740053168000},"source":"Crossref","is-referenced-by-count":0,"title":["An Improved Fast Decision Tree Algorithm Based on Attribute Deviation"],"prefix":"10.3233","author":[{"family":"Liu Dan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Zhang Yue","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Sui Xin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Zeng Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Wang Huan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Li Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Fuzzy Systems and Data Mining III"],"original-title":[],"deposited":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T12:20:51Z","timestamp":1740054051000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-827-3&spage=441&doi=10.3233\/978-1-61499-828-0-441"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-828-0-441","relation":{},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2017]]}}}