{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T05:26:02Z","timestamp":1740115562717,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"abstract":"<jats:p>To address the inaccuracy and high time complexity of traditional data stream mining technology, this paper introduces a new algorithm of date detection based on k-distance to pruning and comentropy to detect sliding windows. When the data fills the current window, the k-distance of the data is used to prune all data in the pruning time. As a result, most normal data is filtered out. Experimental results demonstrate that the SWKC algorithm possesses better efficiency and accuracy than some other traditional detection algorithms.<\/jats:p>","DOI":"10.3233\/978-1-61499-619-4-397","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":["Algorithm for Online Detection of the Data Stream Based on Distance"],"prefix":"10.3233","author":[{"family":"Yu Li-Ya","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Hu Jie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Wei Zhong-He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Yang Guan-Ci","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Fuzzy System and Data Mining"],"original-title":[],"deposited":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T12:52:17Z","timestamp":1740055937000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-618-7&spage=397&doi=10.3233\/978-1-61499-619-4-397"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-619-4-397","relation":{},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2016]]}}}