{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T21:27:43Z","timestamp":1648675663023},"reference-count":31,"publisher":"Vilnius University Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.15388\/20-infor413","type":"journal-article","created":{"date-parts":[[2020,5,6]],"date-time":"2020-05-06T09:40:30Z","timestamp":1588758030000},"page":"435-458","source":"Crossref","is-referenced-by-count":0,"title":["An Effective Approach to Outlier Detection Based on Centrality and Centre-Proximity"],"prefix":"10.15388","author":[{"given":"Duck-Ho","family":"Bae","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seo","family":"Jeong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiwon","family":"Hong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minsoo","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mirjana","family":"Ivanovi\u0107","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Milo\u0161","family":"Savi\u0107","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sang-Wook","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"6097","published-online":{"date-parts":[[2020,5,6]]},"reference":[{"key":"2020092417114545457_j_infor413_ref_001","first-page":"410","volume-title":"Proceedings of the 14th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining","year":"2010"},{"key":"2020092417114545457_j_infor413_ref_002","doi-asserted-by":"crossref","first-page":"2251","DOI":"10.1145\/2396761.2398613","volume-title":"Proceedings of the 21st ACM International Conference on Information and Knowledge Management","year":"2012"},{"key":"2020092417114545457_j_infor413_ref_003","volume-title":"Outliers in Statistical Data","year":"1994"},{"key":"2020092417114545457_j_infor413_ref_004","first-page":"29","volume-title":"Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","year":"2003"},{"key":"2020092417114545457_j_infor413_ref_005","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1145\/1557019.1557042","volume-title":"Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","year":"2009"},{"key":"2020092417114545457_j_infor413_ref_006","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1145\/342009.335388","volume-title":"Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data","year":"2000"},{"key":"2020092417114545457_j_infor413_ref_007","first-page":"107","volume-title":"Proceedings of the 7th International World Wide Web Conference","year":"1998"},{"issue":"4","key":"2020092417114545457_j_infor413_ref_008","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1016\/j.ins.2009.10.007","article-title":"Modeling manufacturing processes using a genetic programming-based fuzzy regression with detection of outliers","volume":"180","year":"2010","journal-title":"Information Sciences"},{"issue":"3","key":"2020092417114545457_j_infor413_ref_009","first-page":"15:1","article-title":"Anomaly detection: a survey","volume":"41","year":"2009","journal-title":"ACM Computing Surveys"},{"key":"2020092417114545457_j_infor413_ref_010","doi-asserted-by":"crossref","first-page":"406","DOI":"10.1016\/j.patcog.2017.09.037","article-title":"A comparative evaluation of outlier detection algorithms: experiments and analyses","volume":"74","year":"2018","journal-title":"Pattern Recognition"},{"key":"2020092417114545457_j_infor413_ref_011","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1016\/j.knosys.2016.01.027","article-title":"Tensor-based anomaly detection: an interdisciplinary survey","volume":"98","year":"2016","journal-title":"Knowledge-Based Systems"},{"issue":"2","key":"2020092417114545457_j_infor413_ref_012","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1016\/j.ins.2006.03.006","article-title":"Anomaly detection in web documents using crisp and fuzzy-based cosine clustering methodology","volume":"177","year":"2007","journal-title":"Information Sciences"},{"key":"2020092417114545457_j_infor413_ref_013","doi-asserted-by":"crossref","first-page":"773","DOI":"10.1145\/1982185.1982353","volume-title":"Proceedings of the 2011 ACM Symposium on Applied Computing","year":"2011"},{"key":"2020092417114545457_j_infor413_ref_014","volume-title":"Data Mining: Concepts and Techniques","year":"2000"},{"key":"2020092417114545457_j_infor413_ref_015","volume-title":"Identification of Outliers","year":"1980"},{"key":"2020092417114545457_j_infor413_ref_016","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.knosys.2015.10.014","article-title":"A non-parameter outlier detection algorithm based on natural neighbor","volume":"92","year":"2016","journal-title":"Knowledge-Based Systems"},{"issue":"8","key":"2020092417114545457_j_infor413_ref_017","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1109\/2.781637","article-title":"Chameleon: hierarchical clustering using dynamic modeling","volume":"32","year":"1999","journal-title":"IEEE Computer"},{"key":"2020092417114545457_j_infor413_ref_018","first-page":"125","volume-title":"Proceedings of the 19th IEEE International Conference on Mobile Data Management","year":"2018"},{"issue":"5","key":"2020092417114545457_j_infor413_ref_019","doi-asserted-by":"crossref","first-page":"604","DOI":"10.1145\/324133.324140","article-title":"Authoritative sources in a hyperlinked environment","volume":"46","year":"1999","journal-title":"Journal of the ACM"},{"key":"2020092417114545457_j_infor413_ref_020","first-page":"211","volume-title":"Proceedings of 25th International Conference on Very Large Data Bases","year":"1999"},{"issue":"3\u20134","key":"2020092417114545457_j_infor413_ref_021","first-page":"237","article-title":"Distance-based outliers: algorithms and applications","volume":"8","year":"2000","journal-title":"The VLDB Journal"},{"issue":"01","key":"2020092417114545457_j_infor413_ref_022","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1142\/S0218213008003753","article-title":"OutRank: a graph-based outlier detection framework using random walk","volume":"17","year":"2008","journal-title":"International Journal on Artificial Intelligence Tools"},{"key":"2020092417114545457_j_infor413_ref_023","first-page":"1993","volume-title":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","year":"2018"},{"key":"2020092417114545457_j_infor413_ref_024","first-page":"315","volume-title":"Proceedings of the 19th International Conference on Data Engineering","year":"2003"},{"issue":"2","key":"2020092417114545457_j_infor413_ref_025","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1145\/335191.335437","article-title":"Efficient algorithms for mining outliers from large data sets","volume":"29","year":"2000","journal-title":"SIGMOD Record"},{"key":"2020092417114545457_j_infor413_ref_026","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.ins.2011.08.011","article-title":"Toward a more practical unsupervised anomaly detection system","volume":"231","year":"2013","journal-title":"Information Sciences"},{"key":"2020092417114545457_j_infor413_ref_027","volume-title":"Introduction to Data Mining","year":"2005"},{"key":"2020092417114545457_j_infor413_ref_028","first-page":"705","volume-title":"Proceedings of the 2002 IEEE International Conference on Data Mining","year":"2002"},{"issue":"4","key":"2020092417114545457_j_infor413_ref_029","doi-asserted-by":"crossref","first-page":"893","DOI":"10.15388\/Informatica.2016.116","article-title":"A hybrid computational method based on convex optimization for outlier problems: application to earthquake ground motion prediction","volume":"27","year":"2016","journal-title":"Informatica"},{"key":"2020092417114545457_j_infor413_ref_030"},{"key":"2020092417114545457_j_infor413_ref_031"}],"container-title":["Informatica"],"original-title":[],"language":"en","deposited":{"date-parts":[[2021,3,13]],"date-time":"2021-03-13T03:17:40Z","timestamp":1615605460000},"score":1,"resource":{"primary":{"URL":"https:\/\/informatica.vu.lt\/doi\/10.15388\/20-INFOR413"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":31,"alternative-id":["10.15388\/20-INFOR413"],"URL":"https:\/\/doi.org\/10.15388\/20-infor413","relation":{},"ISSN":["0868-4952","1822-8844"],"issn-type":[{"value":"0868-4952","type":"print"},{"value":"1822-8844","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}