{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T21:54:32Z","timestamp":1729634072354,"version":"3.28.0"},"reference-count":32,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,7]]},"DOI":"10.1109\/ijcnn.2014.6889551","type":"proceedings-article","created":{"date-parts":[[2014,9,10]],"date-time":"2014-09-10T10:30:33Z","timestamp":1410345033000},"page":"1020-1027","source":"Crossref","is-referenced-by-count":2,"title":["AORS: Affinity-based outlier ranking score"],"prefix":"10.1109","author":[{"given":"Shaohong","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Hau-San","family":"Wong","sequence":"additional","affiliation":[]},{"given":"Wen-Jun","family":"Shen","sequence":"additional","affiliation":[]},{"given":"Dongqing","family":"Xie","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"19","DOI":"10.1016\/j.patrec.2006.11.010"},{"doi-asserted-by":"publisher","key":"17","DOI":"10.2307\/2284239"},{"doi-asserted-by":"publisher","key":"18","DOI":"10.1007\/BF01908075"},{"doi-asserted-by":"publisher","key":"15","DOI":"10.1137\/1.9781611972825.90"},{"key":"16","doi-asserted-by":"crossref","first-page":"972","DOI":"10.1126\/science.1136800","article-title":"Clustering by passing messages between data points","volume":"315","author":"frey","year":"2007","journal-title":"Science"},{"key":"13","doi-asserted-by":"crossref","first-page":"813","DOI":"10.1007\/978-3-642-01307-2_84","article-title":"A new local distance-based outlier detection approach for scattered real-world data","author":"zhang","year":"2009","journal-title":"Advances in Knowledge Discovery and Data Mining"},{"doi-asserted-by":"publisher","key":"14","DOI":"10.1109\/ICDM.2010.151"},{"key":"11","first-page":"43","author":"angiulli","year":"2002","journal-title":"Fast Outlier Detection in High Dimensional Spaces"},{"doi-asserted-by":"publisher","key":"12","DOI":"10.1145\/335191.335388"},{"doi-asserted-by":"publisher","key":"21","DOI":"10.1016\/j.patcog.2011.11.017"},{"doi-asserted-by":"publisher","key":"20","DOI":"10.1109\/ICPR.2010.196"},{"key":"22","first-page":"583","article-title":"Cluster ensembles - A knowledge reuse framework for combining multiple partitions","volume":"3","author":"strehl","year":"2002","journal-title":"Journal of Machine Learning Research"},{"doi-asserted-by":"publisher","key":"23","DOI":"10.1145\/1015330.1015414"},{"doi-asserted-by":"publisher","key":"24","DOI":"10.1109\/TPAMI.2011.84"},{"doi-asserted-by":"publisher","key":"25","DOI":"10.1109\/TPAMI.2005.113"},{"key":"26","first-page":"281","article-title":"Some methods for classification and analysis of multivariate observations","volume":"1","author":"macqueen","year":"1967","journal-title":"Proceedings of 5-th Berkeley Symposium on Mathematical Statistics and Probability"},{"doi-asserted-by":"publisher","key":"27","DOI":"10.1109\/ICIF.2006.301614"},{"key":"28","first-page":"992","article-title":"Adaptive cluster ensemble selection","author":"azimi","year":"2009","journal-title":"Proceedings of the 21st International Jont Conference on Artifical Intelligence"},{"doi-asserted-by":"publisher","key":"29","DOI":"10.1109\/TCBB.2012.34"},{"doi-asserted-by":"publisher","key":"3","DOI":"10.1080\/00401706.1995.10485900"},{"key":"2","first-page":"97","article-title":"Tests based on edf statistics","volume":"68","author":"stephens","year":"1986","journal-title":"Goodness-of-Fit Techniques"},{"doi-asserted-by":"publisher","key":"10","DOI":"10.1145\/335191.335437"},{"year":"1994","author":"barnett","journal-title":"Outliers in Statistical Data","key":"1"},{"key":"30","first-page":"505","article-title":"Distance metric learning, with application to clustering with side-information","author":"xing","year":"2003","journal-title":"Advances in Neural Information Processing Systems 15"},{"doi-asserted-by":"publisher","key":"7","DOI":"10.1137\/1.9781611972818.2"},{"doi-asserted-by":"publisher","key":"6","DOI":"10.1016\/S0167-9473(02)00280-3"},{"doi-asserted-by":"publisher","key":"32","DOI":"10.1016\/j.patrec.2007.11.012"},{"doi-asserted-by":"publisher","key":"5","DOI":"10.1080\/00401706.1999.10485670"},{"doi-asserted-by":"publisher","key":"31","DOI":"10.1145\/1553374.1553511"},{"doi-asserted-by":"publisher","key":"4","DOI":"10.1002\/widm.2"},{"key":"9","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1007\/s007780050006","article-title":"Distance-based outliers: Algorithms and applications","volume":"8","author":"knorr","year":"2000","journal-title":"The VLDB Journal"},{"key":"8","first-page":"392","article-title":"Algorithms for mining distance-based outliers in large datasets","author":"knorr","year":"1998","journal-title":"Proceedings of the International Conference on Very Large Databases"}],"event":{"name":"2014 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2014,7,6]]},"location":"Beijing, China","end":{"date-parts":[[2014,7,11]]}},"container-title":["2014 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6880678\/6889358\/06889551.pdf?arnumber=6889551","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,14]],"date-time":"2020-10-14T11:17:38Z","timestamp":1602674258000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/6889551"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,7]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2014.6889551","relation":{},"subject":[],"published":{"date-parts":[[2014,7]]}}}