{"id":"https://openalex.org/W2948334075","doi":"https://doi.org/10.1109/tie.2019.2907441","title":"Exploring High-Order Correlations for Industry Anomaly Detection","display_name":"Exploring High-Order Correlations for Industry Anomaly Detection","publication_year":2019,"publication_date":"2019-06-25","ids":{"openalex":"https://openalex.org/W2948334075","doi":"https://doi.org/10.1109/tie.2019.2907441","mag":"2948334075"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2019.2907441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2019.2907441","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003449839","display_name":"Nan Wang","orcid":"https://orcid.org/0000-0002-4562-3506"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Nan Wang","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology, Key Laboratory for Information System Security, Ministry of Education, School of Software, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, Key Laboratory for Information System Security, Ministry of Education, School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101566829","display_name":"Zizhao Zhang","orcid":"https://orcid.org/0000-0001-7329-6461"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zizhao Zhang","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology, Key Laboratory for Information System Security, Ministry of Education, School of Software, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, Key Laboratory for Information System Security, Ministry of Education, School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773043","display_name":"Xibin Zhao","orcid":"https://orcid.org/0000-0002-6168-7016"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xibin Zhao","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology, Key Laboratory for Information System Security, Ministry of Education, School of Software, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, Key Laboratory for Information System Security, Ministry of Education, School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103628700","display_name":"Quan Miao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087772","display_name":"National Computer Network Emergency Response Technical Team/Coordination Center of Chinar","ror":"https://ror.org/00247dh76","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210087772"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Miao","raw_affiliation_strings":["National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China","institution_ids":["https://openalex.org/I4210087772"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016080094","display_name":"Rongrong Ji","orcid":"https://orcid.org/0000-0001-9163-2932"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongrong Ji","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100602494","display_name":"Yue Gao","orcid":"https://orcid.org/0000-0002-4971-590X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Gao","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology, Key Laboratory for Information System Security, Ministry of Education, School of Software, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, Key Laboratory for Information System Security, Ministry of Education, School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5003449839"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.4471,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.86614112,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"66","issue":"12","first_page":"9682","last_page":"9691"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8390570878982544},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.7661452293395996},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6011971235275269},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.568325936794281},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.5559965372085571},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5137901902198792},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.45400285720825195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4516056776046753},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43653008341789246},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4233430027961731},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3571271002292633},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2936038374900818},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.22349274158477783},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.15129506587982178},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10470208525657654},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07319173216819763}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8390570878982544},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.7661452293395996},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6011971235275269},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.568325936794281},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.5559965372085571},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5137901902198792},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.45400285720825195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4516056776046753},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43653008341789246},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4233430027961731},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3571271002292633},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2936038374900818},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.22349274158477783},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.15129506587982178},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10470208525657654},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07319173216819763},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2019.2907441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2019.2907441","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6200000047683716,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G3740624217","display_name":null,"funder_award_id":"61527812","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6999929456","display_name":null,"funder_award_id":"U1701262","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W81524370","https://openalex.org/W168970045","https://openalex.org/W189896577","https://openalex.org/W1566672823","https://openalex.org/W1581274514","https://openalex.org/W1825821140","https://openalex.org/W1985987493","https://openalex.org/W1995443851","https://openalex.org/W2017656341","https://openalex.org/W2063557315","https://openalex.org/W2100200066","https://openalex.org/W2102524069","https://openalex.org/W2121281594","https://openalex.org/W2132442585","https://openalex.org/W2167152259","https://openalex.org/W2170057991","https://openalex.org/W2265638863","https://openalex.org/W2296719434","https://openalex.org/W2304692780","https://openalex.org/W2315257342","https://openalex.org/W2555259174","https://openalex.org/W2555676925","https://openalex.org/W2585285071","https://openalex.org/W2600386932","https://openalex.org/W2607043571","https://openalex.org/W2734398964","https://openalex.org/W2735091645","https://openalex.org/W2738091946","https://openalex.org/W2739556897","https://openalex.org/W2745842197","https://openalex.org/W2753378082","https://openalex.org/W2765467597","https://openalex.org/W2766883061","https://openalex.org/W2770072680","https://openalex.org/W2770337116","https://openalex.org/W2771300315","https://openalex.org/W2785362611","https://openalex.org/W2785637175","https://openalex.org/W2790412906","https://openalex.org/W2799033092","https://openalex.org/W2808154606","https://openalex.org/W2884276099","https://openalex.org/W2894461463","https://openalex.org/W2897819140","https://openalex.org/W2963045681","https://openalex.org/W3098957257","https://openalex.org/W3099731104","https://openalex.org/W3099831940","https://openalex.org/W3120740533","https://openalex.org/W6675528751","https://openalex.org/W6698082878","https://openalex.org/W6740478165","https://openalex.org/W6751917112"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2806741695","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,38,127,157,160],"aims":[2],"to":[3,95,111],"find":[4],"the":[5,60,77,81,84,97,121,136,146],"outlier":[6,159],"noise":[7],"data,":[8,34],"which":[9,35],"has":[10],"attracted":[11],"much":[12],"attention":[13],"in":[14,18,44,66,88],"recent":[15],"years.":[16],"However,":[17],"most":[19],"industrial":[20],"cases,":[21],"we":[22,47,119],"can":[23],"only":[24],"obtain":[25],"very":[26],"few":[27],"labeled":[28],"anomalous":[29],"data":[30,63],"with":[31,107,138,179],"abundant":[32],"unlabeled":[33],"makes":[36],"anomaly":[37,55,126,156],"intractable.":[39],"To":[40],"tackle":[41],"this":[42,45,58,134],"issue,":[43],"paper":[46],"propose":[48],"a":[49,67,108],"vertex-weighted":[50],"hypergraph":[51,68,82],"learning":[52,147],"method":[53,153,173],"for":[54,125],"detection.":[56],"In":[57,133],"method,":[59],"correlation":[61],"among":[62,86],"is":[64,105],"formulated":[65],"structure,":[69],"where":[70,102],"each":[71,103],"vertex":[72,93,104,130],"denotes":[73],"one":[74],"sample,":[75],"and":[76,115,128,162,167],"connections":[78],"(hyperedges)":[79],"on":[80,154],"represent":[83],"relation":[85],"samples":[87],"feature":[89],"space.":[90],"We":[91,149],"introduce":[92],"weights":[94,131,140],"investigate":[96],"importance":[98],"of":[99],"different":[100],"samples,":[101],"initialized":[106],"weight":[109],"corresponding":[110],"its":[112],"similarity":[113],"score":[114],"isolation":[116],"score.":[117],"Then,":[118],"learn":[120],"label":[122],"projection":[123],"matrix":[124],"optimize":[129],"simultaneously.":[132],"way,":[135],"vertices":[137],"high":[139],"play":[141],"an":[142],"important":[143],"role":[144],"during":[145],"process.":[148],"have":[150],"evaluated":[151],"our":[152,172],"industry":[155],"dataset,":[158,161,166],"software":[163],"defect":[164],"prediction":[165],"experimental":[168],"results":[169],"show":[170],"that":[171],"achieves":[174],"better":[175],"performance":[176],"when":[177],"compared":[178],"other":[180],"state-of-the-art":[181],"methods.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}