{"id":"https://openalex.org/W4317496075","doi":"https://doi.org/10.1109/ccis57298.2022.10016429","title":"GUARD: Multigranularity-based Unsupervised Anomaly Detection Algorithm for Multivariate Time Series","display_name":"GUARD: Multigranularity-based Unsupervised Anomaly Detection Algorithm for Multivariate Time Series","publication_year":2022,"publication_date":"2022-11-26","ids":{"openalex":"https://openalex.org/W4317496075","doi":"https://doi.org/10.1109/ccis57298.2022.10016429"},"language":"en","primary_location":{"id":"doi:10.1109/ccis57298.2022.10016429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis57298.2022.10016429","pdf_url":null,"source":{"id":"https://openalex.org/S4363608348","display_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103151002","display_name":"Fan Meng","orcid":"https://orcid.org/0000-0002-4818-7009"},"institutions":[{"id":"https://openalex.org/I206777745","display_name":"Nanjing Audit University","ror":"https://ror.org/04zj2bd87","country_code":"CN","type":"education","lineage":["https://openalex.org/I206777745"]},{"id":"https://openalex.org/I4210139142","display_name":"Development Research Center","ror":"https://ror.org/04m6cjv19","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210139142","https://openalex.org/I4210155611"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Meng","raw_affiliation_strings":["Public Credit Information Center, Jiangsu Strategy and Development Research Center,Nanjing,China","Public Credit Information Center, Jiangsu Strategy and Development Research Center, Nanjing, China","State Key Lab for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Public Credit Information Center, Jiangsu Strategy and Development Research Center,Nanjing,China","institution_ids":["https://openalex.org/I206777745"]},{"raw_affiliation_string":"Public Credit Information Center, Jiangsu Strategy and Development Research Center, Nanjing, China","institution_ids":["https://openalex.org/I4210139142"]},{"raw_affiliation_string":"State Key Lab for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042808201","display_name":"Qunli Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qunli Yang","raw_affiliation_strings":["Nanjing University,State Key Lab for Novel Software Technology,Nanjing,China","State Key Lab for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,State Key Lab for Novel Software Technology,Nanjing,China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"State Key Lab for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024349225","display_name":"Zhengda He","orcid":null},"institutions":[{"id":"https://openalex.org/I161716053","display_name":"China Pharmaceutical University","ror":"https://ror.org/01sfm2718","country_code":"CN","type":"education","lineage":["https://openalex.org/I161716053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengda He","raw_affiliation_strings":["China Pharmaceutical University,School of Science,Nanjing,China","School of Science, China Pharmaceutical University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Pharmaceutical University,School of Science,Nanjing,China","institution_ids":["https://openalex.org/I161716053"]},{"raw_affiliation_string":"School of Science, China Pharmaceutical University, Nanjing, China","institution_ids":["https://openalex.org/I161716053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100764370","display_name":"Shangdong Yang","orcid":"https://orcid.org/0000-0001-5379-9539"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangdong Yang","raw_affiliation_strings":["Nanjing University,State Key Lab for Novel Software Technology,Nanjing,China","State Key Lab for Novel Software Technology, Nanjing University, Nanjing, China","The School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,State Key Lab for Novel Software Technology,Nanjing,China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"State Key Lab for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"The School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066281595","display_name":"Weidong Tang","orcid":"https://orcid.org/0000-0002-1263-1964"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]},{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Tang","raw_affiliation_strings":["China Telecom Corporation Limited, Nanjing Branch,Customer Operations Department,Nanjing,China","Customer Operations Department, China Telecom Corporation Limited, Nanjing Branch, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Telecom Corporation Limited, Nanjing Branch,Customer Operations Department,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Customer Operations Department, China Telecom Corporation Limited, Nanjing Branch, Nanjing, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3374,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58325443,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"30"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9857000112533569,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/subsequence","display_name":"Subsequence","score":0.7526877522468567},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7224327325820923},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7198852300643921},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7039093375205994},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5239582061767578},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5164244771003723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49785876274108887},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.49018794298171997},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4353465437889099},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.43124920129776},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4191424250602722},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41801488399505615},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3133561611175537},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15518930554389954},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1306457817554474}],"concepts":[{"id":"https://openalex.org/C137877099","wikidata":"https://www.wikidata.org/wiki/Q1332977","display_name":"Subsequence","level":3,"score":0.7526877522468567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7224327325820923},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7198852300643921},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7039093375205994},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5239582061767578},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5164244771003723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49785876274108887},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.49018794298171997},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4353465437889099},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.43124920129776},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4191424250602722},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41801488399505615},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3133561611175537},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15518930554389954},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1306457817554474},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis57298.2022.10016429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis57298.2022.10016429","pdf_url":null,"source":{"id":"https://openalex.org/S4363608348","display_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320326895","display_name":"State Key Laboratory of Novel Software Technology","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2026493302","https://openalex.org/W2186910770","https://openalex.org/W2743617586","https://openalex.org/W2911200746","https://openalex.org/W2988244882","https://openalex.org/W3040099731","https://openalex.org/W3040266635","https://openalex.org/W3081497074","https://openalex.org/W3128465814","https://openalex.org/W3135550350","https://openalex.org/W3155567600","https://openalex.org/W3164160032","https://openalex.org/W3176085787","https://openalex.org/W3176476506","https://openalex.org/W3198059351","https://openalex.org/W3214012455","https://openalex.org/W4254182148","https://openalex.org/W4288057688"],"related_works":["https://openalex.org/W3044458868","https://openalex.org/W4285263736","https://openalex.org/W4313590336","https://openalex.org/W4308482784","https://openalex.org/W2920254490","https://openalex.org/W3192727092","https://openalex.org/W4296210064","https://openalex.org/W4223945335","https://openalex.org/W2131328961","https://openalex.org/W4327990033"],"abstract_inverted_index":{"Unsupervised":[0],"anomaly":[1,53,72],"detection":[2,73],"on":[3,93],"multivariate":[4],"time":[5],"series":[6],"(MTS)":[7],"is":[8,101],"a":[9,49,89,94,98],"valuable":[10],"problem":[11],"in":[12,44,62,69],"practice":[13],"because":[14],"it":[15],"significantly":[16],"reduces":[17],"labeling":[18],"costs.":[19],"Even":[20],"though":[21],"most":[22],"classical":[23],"methods":[24],"begin":[25],"to":[26,103],"consider":[27],"inter-series":[28],"dependencies,":[29],"the":[30,59,70,76,81,85,105,111,115,128,136,147],"hierarchical":[31,60,99],"relationships":[32,61],"between":[33,110],"and":[34,65,87,107,114,118,133,141],"within-series":[35],"data":[36],"are":[37],"often":[38],"ignored.":[39],"To":[40],"overcome":[41],"these":[42,67],"limitations,":[43],"this":[45],"paper,":[46],"we":[47],"propose":[48],"multiGranUlArity":[50],"based":[51,92],"unsupeRvised":[52],"Detection":[54],"(GUARD)":[55],"algorithm":[56,78,130],"that":[57,127],"captures":[58,80],"three":[63],"granularities":[64],"merges":[66],"dependencies":[68,83,109],"following":[71],"task.":[74],"Specifically,":[75],"proposed":[77,129],"first":[79],"internal":[82],"within":[84],"subsequence":[86,113],"learns":[88],"hidden":[90,121],"representation":[91],"trained":[95],"autoencoder.":[96],"Then,":[97],"mechanism":[100],"designed":[102],"capture":[104],"local":[106],"global":[108],"given":[112],"whole":[116],"set":[117],"learn":[119],"their":[120],"representation.":[122],"The":[123],"experimental":[124],"results":[125],"show":[126],"can":[131],"effectively":[132],"stably":[134],"exploit":[135],"potential":[137],"relationship":[138],"of":[139],"MTS":[140],"detect":[142],"anomalies":[143],"more":[144],"accurately":[145],"than":[146],"basic":[148],"approaches.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
