{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T05:39:38Z","timestamp":1777613978810,"version":"3.51.4"},"reference-count":12,"publisher":"Wiley","license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Future Research Projects Funds for the Science and Technology Department of Jiangsu Province","award":["BY2013015-23"],"award-info":[{"award-number":["BY2013015-23"]}]},{"name":"Future Research Projects Funds for the Science and Technology Department of Jiangsu Province","award":["JUSRP211A 41"],"award-info":[{"award-number":["JUSRP211A 41"]}]},{"name":"Fundamental Research Funds for the Ministry of Education","award":["BY2013015-23"],"award-info":[{"award-number":["BY2013015-23"]}]},{"name":"Fundamental Research Funds for the Ministry of Education","award":["JUSRP211A 41"],"award-info":[{"award-number":["JUSRP211A 41"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Security and Communication Networks"],"published-print":{"date-parts":[[2017]]},"abstract":"<jats:p>Physiological theories indicate that the deepest impression for time series data with respect to the human visual system is its extreme value. Based on this principle, by researching the strategies of extreme-point-based hierarchy segmentation, the hierarchy-segmentation-based data extraction method for time series, and the ideas of locality outlier, a novel outlier detection model and method for time series are proposed. The presented algorithm intuitively labels an outlier factor to each subsequence in time series such that the visual outlier detection gets relatively direct. The experimental results demonstrate the average advantage of the developed method over the compared methods and the efficient data reduction capability for time series, which indicates the promising performance of the proposed method and its practical application value.<\/jats:p>","DOI":"10.1155\/2017\/1869787","type":"journal-article","created":{"date-parts":[[2017,8,22]],"date-time":"2017-08-22T17:01:45Z","timestamp":1503421305000},"page":"1-10","source":"Crossref","is-referenced-by-count":5,"title":["Locality-Based Visual Outlier Detection Algorithm for Time Series"],"prefix":"10.1155","volume":"2017","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9475-9717","authenticated-orcid":true,"given":"Zhihua","family":"Li","sequence":"first","affiliation":[{"name":"Department of Computer Science, School of Internet of Things Engineering, Jiangnan University, Jiangsu, Wuxi 214122, China"},{"name":"Department of Computer Science, Georgia State University, Atlanta, GA 30303, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziyuan","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Computer Science, School of Internet of Things Engineering, Jiangnan University, Jiangsu, Wuxi 214122, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ning","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Georgia State University, Atlanta, GA 30303, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Steven","family":"Wen","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Georgia State University, Atlanta, GA 30303, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","year":"1995"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1145\/2379799.2379800"},{"key":"3","first-page":"22","volume":"7","year":"2007","journal-title":"CIDR"},{"key":"5","year":"2013","journal-title":"Workshop Notes"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1016\/0005-1098(84)90098-0"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/j.strusafe.2008.06.021"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jspi.2012.08.009"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12098-5_34"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12098-5_34"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhazmat.2010.09.027"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2012.02.015"},{"key":"26","doi-asserted-by":"publisher","DOI":"10.1161\/01.CIR.101.23.e215"}],"container-title":["Security and Communication Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/scn\/2017\/1869787.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/scn\/2017\/1869787.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/scn\/2017\/1869787.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,8,22]],"date-time":"2017-08-22T17:01:47Z","timestamp":1503421307000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/scn\/2017\/1869787\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":12,"alternative-id":["1869787","1869787"],"URL":"https:\/\/doi.org\/10.1155\/2017\/1869787","relation":{},"ISSN":["1939-0114","1939-0122"],"issn-type":[{"value":"1939-0114","type":"print"},{"value":"1939-0122","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]}}}