{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,9,20]],"date-time":"2023-09-20T01:07:54Z","timestamp":1695172074401},"reference-count":12,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[2015,6]]},"abstract":"<jats:p> The task of semi-supervised outlier detection is to find the instances that are exceptional from other data, using some labeled examples. In many applications such as fraud detection and intrusion detection, this issue becomes more important. Most existing techniques are unsupervised. On the other hand, semi-supervised approaches use both negative and positive instances to detect outliers. However, in many real world applications, very few positive labeled examples are available. This paper proposes an innovative approach to address this problem. The proposed method works as follows. First, some reliable negative instances are extracted by a kNN-based algorithm. Afterwards, fuzzy clustering using both negative and positive examples is utilized to detect outliers. Experimental results on real data sets demonstrate that the proposed approach outperforms the previous unsupervised state-of-the-art methods in detecting outliers. <\/jats:p>","DOI":"10.1142\/s0218213015500037","type":"journal-article","created":{"date-parts":[[2014,10,20]],"date-time":"2014-10-20T07:08:56Z","timestamp":1413788936000},"page":"1550003","source":"Crossref","is-referenced-by-count":3,"title":["Semi-Supervised Outlier Detection with Only Positive and Unlabeled Data Based on Fuzzy Clustering"],"prefix":"10.1142","volume":"24","author":[{"given":"Armin","family":"Daneshpazhouh","sequence":"first","affiliation":[{"name":"CSE and IT Department, School of Electrical Engineering and Computer, Shiraz University, Shiraz, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ashkan","family":"Sami","sequence":"additional","affiliation":[{"name":"CSE and IT Department, School of Electrical Engineering and Computer, Shiraz University, Shiraz, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2015,6,9]]},"reference":[{"key":"p_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2009.06.008"},{"key":"p_3","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.01.162"},{"key":"p_6","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.08.069"},{"key":"p_7","doi-asserted-by":"publisher","DOI":"10.1016\/j.matcom.2010.02.007"},{"key":"p_8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.196"},{"key":"p_11","first-page":"1","author":"Barnett V.","year":"1984","journal-title":"Wiley"},{"key":"p_17","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.06.040"},{"key":"p_20","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.02.037"},{"key":"p_21","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(03)00003-5"},{"key":"p_22","first-page":"139","volume":"2","author":"Manevitz L. M.","year":"2002","journal-title":"The Journal of Machine Learning Research"},{"key":"p_32","first-page":"94","volume":"4","author":"Zhang B.","year":"2009","journal-title":"Journal of Computers"},{"key":"p_41","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-010-0347-3"}],"container-title":["International Journal on Artificial Intelligence Tools"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/s0218213015500037","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T17:39:14Z","timestamp":1565113154000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/s0218213015500037"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,6]]},"references-count":12,"journal-issue":{"issue":"03","published-online":{"date-parts":[[2015,6,9]]},"published-print":{"date-parts":[[2015,6]]}},"alternative-id":["10.1142\/s0218213015500037"],"URL":"https:\/\/doi.org\/10.1142\/s0218213015500037","relation":{},"ISSN":["0218-2130","1793-6349"],"issn-type":[{"value":"0218-2130","type":"print"},{"value":"1793-6349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,6]]}}}