{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T14:43:31Z","timestamp":1648824211543},"reference-count":14,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Comp. Intel. Appl."],"published-print":{"date-parts":[[2013,6]]},"abstract":"<jats:p> This paper describe a new concept of \"cluster outlier-ness\". In order to quantify it, we propose a relative isolation score named group outlier factor (GOF). GOF is a score, which is computed during a clustering process using self-organizing maps. The main difference between GOF and existing methods is that, being an outlier is not associated to a single pattern but to a cluster. Thus, an outlier factor (OF) with respect to each cluster is computed for each new sample and compared to the GOF score associated for each cluster. OF is used as a novelty detection classifier. This approach allows to identify meaningful outlier-clusters and detects novel patterns that previous approaches could not find. Experimental results and comparison studies show that the use of GOF sensibly improves the results in term of cluster-outlier and novelty detection. <\/jats:p>","DOI":"10.1142\/s1469026813500107","type":"journal-article","created":{"date-parts":[[2013,6,13]],"date-time":"2013-06-13T08:11:26Z","timestamp":1371111086000},"page":"1350010","source":"Crossref","is-referenced-by-count":0,"title":["GROUP OUTLIER FACTOR: A NEW SCORE USING SELF-ORGANISING MAP FOR GROUP-OUTLIER AND NOVELTY DETECTION"],"prefix":"10.1142","volume":"12","author":[{"given":"AMINE","family":"CHAIBI","sequence":"first","affiliation":[{"name":"LIPN-UMR 7030, University of Paris 13, Sorbonne Paris City \u2013 CNRS, 99, av. J-B Cl\u00e9ment \u2014 F-93430 Villetaneuse, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"MUSTAPHA","family":"LEBBAH","sequence":"additional","affiliation":[{"name":"LIPN-UMR 7030, University of Paris 13, Sorbonne Paris City \u2013 CNRS, 99, av. J-B Cl\u00e9ment \u2014 F-93430 Villetaneuse, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"HANANE","family":"AZZAG","sequence":"additional","affiliation":[{"name":"LIPN-UMR 7030, University of Paris 13, Sorbonne Paris City \u2013 CNRS, 99, av. J-B Cl\u00e9ment \u2014 F-93430 Villetaneuse, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2013,6,27]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2003.07.019"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1002\/widm.19"},{"key":"rf5","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2009.04.013"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-56927-2"},{"key":"rf7","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2003.07.018"},{"key":"rf8","doi-asserted-by":"publisher","DOI":"10.1023\/A:1009643503022"},{"key":"rf9","volume-title":"Pattern Classification","author":"Duda R. O.","year":"2001"},{"key":"rf10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.07.009"},{"key":"rf11","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0"},{"key":"rf12","doi-asserted-by":"publisher","DOI":"10.1162\/089976601750264965"},{"key":"rf16","first-page":"1250003-1","volume":"11","author":"Ahmad W.","year":"2012","journal-title":"Int. J. Comput. Intell. Appl."},{"key":"rf18","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(95)00120-4"},{"key":"rf19","doi-asserted-by":"publisher","DOI":"10.1207\/s15327906mbr0102_10"},{"key":"rf20","first-page":"127","volume":"30","author":"Kohavi R.","year":"1998","journal-title":"Editorial for the Special Issue on Applications of Machine Learning and the Knowledge Discovery Process"}],"container-title":["International Journal of Computational Intelligence and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S1469026813500107","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T13:44:52Z","timestamp":1565185492000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S1469026813500107"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,6]]},"references-count":14,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2013,6,27]]},"published-print":{"date-parts":[[2013,6]]}},"alternative-id":["10.1142\/S1469026813500107"],"URL":"https:\/\/doi.org\/10.1142\/s1469026813500107","relation":{},"ISSN":["1469-0268","1757-5885"],"issn-type":[{"value":"1469-0268","type":"print"},{"value":"1757-5885","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,6]]}}}