{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T00:55:11Z","timestamp":1649120111072},"reference-count":26,"publisher":"World Scientific Pub Co Pte Lt","issue":"06","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Info. Tech. Dec. Mak."],"published-print":{"date-parts":[[2012,11]]},"abstract":"<jats:p> Peculiarity oriented mining (POM), aimed at discovering peculiarity rules hidden in a dataset, is a data mining method. Peculiarity factor (PF) is one of the most important concepts in POM. In this paper, it is proved that PF can accurately characterize the peculiarity of data sampled from a normal distribution. However, for a general one-dimensional distribution, it does not have the property. A local version of PF, called LPF, is proposed to solve the difficulty. LPF can effectively describe the peculiarity of data sampled from a continuous one-dimensional distribution. Based on LPF, a framework of local peculiarity oriented mining is presented, which consists of two steps, namely, peculiar data identification and peculiar data analysis. Two algorithms for peculiar data identification and a case study of peculiar data analysis are given to make the framework practical. Experiments on several benchmark datasets show their good performance. <\/jats:p>","DOI":"10.1142\/s0219622012500319","type":"journal-article","created":{"date-parts":[[2012,12,12]],"date-time":"2012-12-12T02:44:16Z","timestamp":1355280256000},"page":"1155-1181","source":"Crossref","is-referenced-by-count":2,"title":["LOCAL PECULIARITY ORIENTED DATA MINING AND ITS APPLICATION IN OUTLIER DETECTION"],"prefix":"10.1142","volume":"11","author":[{"given":"JIAN","family":"YANG","sequence":"first","affiliation":[{"name":"International WIC Institute, Beijing University of Technology, Beijing, China"}]},{"given":"NING","family":"ZHONG","sequence":"additional","affiliation":[{"name":"International WIC Institute, Beijing University of Technology, Beijing, China"},{"name":"Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi-City, Japan"}]},{"given":"YIYU","family":"YAO","sequence":"additional","affiliation":[{"name":"International WIC Institute, Beijing University of Technology, Beijing, China"},{"name":"Department of Computer Science, University of Regina, Regina, Canada"}]},{"given":"JUE","family":"WANG","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}]}],"member":"219","published-online":{"date-parts":[[2012,12,11]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-009-0205-3"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1017\/S0269888905000408"},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-006-0046-6"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-009-0207-1"},{"key":"rf7","first-page":"1501","volume":"14","author":"Chandola V.","journal-title":"ACM Computing Surveys"},{"key":"rf8","volume-title":"Data Mining: Concepts and Techniques","author":"Han J. W.","year":"2011"},{"key":"rf9","volume-title":"Applications of Data Mining in Computer Security","author":"Eskin E.","year":"2002"},{"key":"rf10","doi-asserted-by":"publisher","DOI":"10.1142\/S0219622005001507"},{"key":"rf11","doi-asserted-by":"publisher","DOI":"10.1142\/S0219622006002052"},{"key":"rf12","first-page":"345","volume":"24","author":"He Q. P.","journal-title":"IEEE Transactions on Semiconductor Manufacturing"},{"key":"rf13","doi-asserted-by":"publisher","DOI":"10.1142\/S0219622010004172"},{"key":"rf14","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-010-0323-y"},{"key":"rf16","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2003.1209011"},{"key":"rf20","doi-asserted-by":"crossref","unstructured":"S.\u00a0D\u017eeroski, J.\u00a0Cussens and S.\u00a0Manandhar, Learning Language in Logic, eds. J.\u00a0Cussens and S.\u00a0D\u017eeroski (Springer Verlag, Berlin, 2001)\u00a0pp. 48\u201373.","DOI":"10.1007\/3-540-40030-3"},{"key":"rf22","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-010-0315-y"},{"key":"rf26","doi-asserted-by":"publisher","DOI":"10.1109\/34.232083"},{"key":"rf27","doi-asserted-by":"publisher","DOI":"10.1007\/BF02579150"},{"key":"rf29","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.1265868"},{"key":"rf30","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-006-0020-z"},{"key":"rf31","volume-title":"Statistical Concepts and Methods","author":"Bhattacharyya G. K.","year":"1977"},{"key":"rf32","doi-asserted-by":"publisher","DOI":"10.1145\/1007730.1007733"},{"key":"rf33","doi-asserted-by":"publisher","DOI":"10.1145\/1007730.1007734"},{"key":"rf34","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2005.93"},{"key":"rf38","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1613\/jair.953","volume":"16","author":"Chawla N. V.","journal-title":"Journal of Artificial Intelligence Research"},{"key":"rf43","first-page":"164","volume":"24","author":"He Z. Y.","journal-title":"Pattern Recognition Letters"},{"key":"rf44","first-page":"123","volume":"24","author":"Breiman L.","journal-title":"Machine Learning"}],"container-title":["International Journal of Information Technology &amp; Decision Making"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0219622012500319","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T17:25:07Z","timestamp":1565112307000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0219622012500319"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,11]]},"references-count":26,"journal-issue":{"issue":"06","published-online":{"date-parts":[[2012,12,11]]},"published-print":{"date-parts":[[2012,11]]}},"alternative-id":["10.1142\/S0219622012500319"],"URL":"https:\/\/doi.org\/10.1142\/s0219622012500319","relation":{},"ISSN":["0219-6220","1793-6845"],"issn-type":[{"value":"0219-6220","type":"print"},{"value":"1793-6845","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,11]]}}}