{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T23:00:44Z","timestamp":1769554844382,"version":"3.49.0"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1701262"],"award-info":[{"award-number":["U1701262"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61527812"],"award-info":[{"award-number":["61527812"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Science and Technology Major Project","award":["2016ZX01038101"],"award-info":[{"award-number":["2016ZX01038101"]}]},{"name":"MIIT IT Funds (Research and Application of TCN Key Technologies) of China"},{"name":"National Key Technology R&amp;D Program","award":["2015BAG14B01-02"],"award-info":[{"award-number":["2015BAG14B01-02"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Electron."],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1109\/tie.2019.2907441","type":"journal-article","created":{"date-parts":[[2019,6,25]],"date-time":"2019-06-25T21:45:20Z","timestamp":1561499120000},"page":"9682-9691","source":"Crossref","is-referenced-by-count":16,"title":["Exploring High-Order Correlations for Industry Anomaly Detection"],"prefix":"10.1109","volume":"66","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4562-3506","authenticated-orcid":false,"given":"Nan","family":"Wang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7329-6461","authenticated-orcid":false,"given":"Zizhao","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6168-7016","authenticated-orcid":false,"given":"Xibin","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Quan","family":"Miao","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9163-2932","authenticated-orcid":false,"given":"Rongrong","family":"Ji","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4971-590X","authenticated-orcid":false,"given":"Yue","family":"Gao","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.17"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3138825"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2805845"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2806420"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2748052"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2745408"},{"key":"ref37","first-page":"703","article-title":"Analysis of learning from positive and unlabeled data","volume":"1","author":"plessis","year":"2014","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/466"},{"key":"ref35","first-page":"2843","article-title":"An efficient semisupervised SVM for anomaly detection","author":"montague","year":"0","journal-title":"Proc Int Joint Conf Neural Netw"},{"key":"ref34","first-page":"1386","article-title":"Convex formulation for learning from positive and unlabeled data","author":"plessis","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2726961"},{"key":"ref40","author":"preiss","year":"1999","journal-title":"Data Structures and Algorithms with Object-Oriented Design Patterns in Java"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2016.2541087"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3184558.3186580"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2016.2627340"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3185996"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-57454-7_59"},{"key":"ref16","first-page":"20","article-title":"Efficient top rank optimization with gradient boosting for supervised anomaly detection","author":"fr\u00e9ry","year":"0","journal-title":"Proc Eur Conf Mach Learn Knowl Discovery Databases"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727554"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2806890"},{"key":"ref19","article-title":"semisupervised learning by Olivier Chapelle, Bernhard Sch&#x00F6;lkopf, and Alexander Zien (review)","volume":"20","author":"thomas","year":"2009","journal-title":"IEEE Trans Neural Netw"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33885-4_35"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2009.2027926"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15549-9_27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2005.1556431"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2011.152"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2849692"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2017.27"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2772082"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0119"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2875002"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2721929"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2772190"},{"key":"ref46","first-page":"449","author":"yeh","year":"2009","journal-title":"Anomaly Detection via Over-Sampling Principal Component Analysis"},{"key":"ref20","first-page":"27","article-title":"semisupervised clustering by seeding","author":"basu","year":"0","journal-title":"Proc 19th Int Conf Mach Learn"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/2133360.2133363"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/387"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2010.25"},{"key":"ref47","first-page":"1","article-title":"Label propagation based semisupervised learning for software defect prediction","volume":"24","author":"zhang","year":"2016","journal-title":"Automated Softw Eng"},{"key":"ref21","article-title":"Ganomaly: Semisupervised anomaly detection via adversarial training","author":"akcay","year":"2018","journal-title":"CoRR"},{"key":"ref42","article-title":"Odds library","year":"2016"},{"key":"ref24","first-page":"1601","article-title":"Learning with hypergraphs: Clustering, classification, and embedding","author":"sch\u00f6lkopf","year":"0","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref41","article-title":"UCI machine learning repository","author":"dheeru","year":"2017"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2868836"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1137\/17M1121184"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1080\/08839514.2012.629540"},{"key":"ref43","article-title":"The promise repository of empirical software engineering data","year":"2015"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2011.09.006"}],"container-title":["IEEE Transactions on Industrial Electronics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/41\/8784422\/08684782.pdf?arnumber=8684782","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T21:09:06Z","timestamp":1657746546000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8684782\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":48,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tie.2019.2907441","relation":{},"ISSN":["0278-0046","1557-9948"],"issn-type":[{"value":"0278-0046","type":"print"},{"value":"1557-9948","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,12]]}}}