{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,6]],"date-time":"2022-04-06T03:07:45Z","timestamp":1649214465041},"reference-count":15,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Info. Tech. Dec. Mak."],"published-print":{"date-parts":[[2005,6]]},"abstract":"<jats:p> Outlier detection targets those exceptional data whose pattern is rare and lie in low density regions. In this paper, under the assumption of complete spatial randomness inside clusters, we propose an MDV (Multi-scale Deviation of the Volume) approach to identifying outliers. In addition to assigning an outlier score for each object, it directly outputs a crisp outlier set. It also offers a plot showing the data structure in every object's vicinity, which is useful in explaining why it may be outlying. Finally, the effectiveness of MDV is demonstrated with both artificial and real datasets. <\/jats:p>","DOI":"10.1142\/s0219622005001507","type":"journal-article","created":{"date-parts":[[2005,6,9]],"date-time":"2005-06-09T11:25:56Z","timestamp":1118316356000},"page":"251-262","source":"Crossref","is-referenced-by-count":3,"title":["FINDING OUTLIERS AT MULTIPLE SCALES"],"prefix":"10.1142","volume":"04","author":[{"given":"TIANMIN","family":"HU","sequence":"first","affiliation":[{"name":"School of Mathematics and Information Technology, HanShan Normal University, Chaozhou, GuangDong, China 521041, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"SAM YUAN","family":"SUNG","sequence":"additional","affiliation":[{"name":"Department of Computer Science, National University of Singapore, 3 Science Drive 2, Singapore 117543, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,20]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-015-3994-4"},{"key":"rf2","volume-title":"Outliers in Statistical Data","author":"Barnett V.","year":"1994"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1023\/A:1009700419189"},{"key":"rf7","first-page":"817","volume":"11","author":"Liu B.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"rf8","doi-asserted-by":"publisher","DOI":"10.1109\/69.553165"},{"key":"rf9","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-9473(96)00027-8"},{"key":"rf11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-61568-9"},{"key":"rf12","doi-asserted-by":"publisher","DOI":"10.1002\/9780470316801"},{"key":"rf13","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2002.1033770"},{"key":"rf14","doi-asserted-by":"publisher","DOI":"10.1007\/s007780050006"},{"key":"rf19","doi-asserted-by":"publisher","DOI":"10.1002\/9781119115151"},{"key":"rf20","volume-title":"A First Course in Probability","author":"Ross S.","year":"1998"},{"key":"rf21","volume-title":"How to Detect and Handle Outliers","volume":"16","author":"Iglewicz B.","year":"1993"},{"key":"rf22","volume-title":"Introduction to Modern Information Retrieval","author":"Salton G.","year":"1983"},{"key":"rf24","volume-title":"UCI Repository of Machine Learning Databases","author":"Murphy P. M.","year":"1994"}],"container-title":["International Journal of Information Technology &amp; Decision Making"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0219622005001507","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T23:00:50Z","timestamp":1565132450000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0219622005001507"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,6]]},"references-count":15,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2011,11,20]]},"published-print":{"date-parts":[[2005,6]]}},"alternative-id":["10.1142\/S0219622005001507"],"URL":"https:\/\/doi.org\/10.1142\/s0219622005001507","relation":{},"ISSN":["0219-6220","1793-6845"],"issn-type":[{"value":"0219-6220","type":"print"},{"value":"1793-6845","type":"electronic"}],"subject":[],"published":{"date-parts":[[2005,6]]}}}