{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,9]],"date-time":"2025-09-09T21:24:43Z","timestamp":1757453083791,"version":"3.28.0"},"reference-count":34,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,4]]},"DOI":"10.1109\/infcomw.2016.7562187","type":"proceedings-article","created":{"date-parts":[[2016,9,8]],"date-time":"2016-09-08T17:09:51Z","timestamp":1473354591000},"page":"802-811","source":"Crossref","is-referenced-by-count":8,"title":["Novel clustering-based approach for Local Outlier Detection"],"prefix":"10.1109","author":[{"family":"Haizhou Du","sequence":"first","affiliation":[]},{"family":"Shengjie Zhao","sequence":"additional","affiliation":[]},{"family":"Daqiang Zhang","sequence":"additional","affiliation":[]},{"family":"Jinsong Wu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/1645953.1646195"},{"key":"ref32","first-page":"93","article-title":"Ranking Outliers Using Symmetric Neighborhood Relationship","author":"wen","year":"2006","journal-title":"Proc of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining"},{"key":"ref31","first-page":"519","article-title":"AUC: A Statistically Consistent and More Discriminating Measure than Accuracy","author":"ling","year":"2003","journal-title":"Proc IJCAI"},{"journal-title":"ROC Graphs Notes and Practical Considerations for Researchers","year":"2004","author":"fawcett","key":"ref30"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2003.1260802"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/FSKD.2008.244"},{"key":"ref11","first-page":"579","article-title":"Clustering Approaches for Anomaly Based Intrusion Detection","author":"smith","year":"2002","journal-title":"Intell Eng Syst Artificial Neural Networks"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-010-0323-y"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/342009.335388"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-47887-6_53"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2003.1260802"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1145\/502512.502554","article-title":"Finding Top n Local Outliers in Large Databases","author":"jin","year":"2001","journal-title":"Proc 7th Intl Conf Knowledge Discovery and Data Mining"},{"key":"ref17","first-page":"392","article-title":"Algorithms for Mining Distance-Based Outliers in Large Datasets","author":"knorr","year":"1998","journal-title":"Proc of the 24th International Conference on very Large Bases"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s007780050006"},{"key":"ref19","first-page":"427","article-title":"Efficient Algorithms for Mining Outliers from Large Datasets","author":"ramaswacblod","year":"2000","journal-title":"Proc of the 2000 ACM SIGMOD International Conference on Management of Data"},{"year":"0","key":"ref28","article-title":"KDD Cup 1999 Data"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1835804.1835939"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/AERO.2005.1559688"},{"key":"ref3","first-page":"255","article-title":"Anomaly Detection over Noisy Data using Learned Probability Distributions","author":"eskin","year":"2000","journal-title":"Proc ICML"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.2116\/analsci.21.161"},{"article-title":"Outlier Detection Datasets","year":"0","author":"tax","key":"ref29"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-010-0283-2"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICSMC.2000.884976"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/87.4.789"},{"key":"ref2","first-page":"1","author":"barnett","year":"1994","journal-title":"Outliers in Statistical Data"},{"key":"ref9","first-page":"226","article-title":"A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise","author":"ester","year":"1996","journal-title":"Proc 2nd Int l Conf Knowledge Discovery and Data Mining"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-015-3994-4"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45681-3_2"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI.2007.125"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1150402.1150447"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2007.75"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"1492","DOI":"10.1126\/science.1242072","article-title":"Clustering by Fast Search and Find of Density Peaks","volume":"344","author":"rodriguez","year":"2014","journal-title":"Science"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2012.99"}],"event":{"name":"IEEE INFOCOM 2016 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","start":{"date-parts":[[2016,4,10]]},"location":"San Francisco, CA, USA","end":{"date-parts":[[2016,4,14]]}},"container-title":["2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7556623\/7561992\/07562187.pdf?arnumber=7562187","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,19]],"date-time":"2023-08-19T20:57:08Z","timestamp":1692478628000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7562187\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,4]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/infcomw.2016.7562187","relation":{},"subject":[],"published":{"date-parts":[[2016,4]]}}}