{"id":"https://openalex.org/W3095970110","doi":"https://doi.org/10.1109/tkde.2020.3035685","title":"Developing an Unsupervised Real-Time Anomaly Detection Scheme for Time Series With Multi-Seasonality","display_name":"Developing an Unsupervised Real-Time Anomaly Detection Scheme for Time Series With Multi-Seasonality","publication_year":2020,"publication_date":"2020-11-03","ids":{"openalex":"https://openalex.org/W3095970110","doi":"https://doi.org/10.1109/tkde.2020.3035685","mag":"3095970110"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2020.3035685","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.3035685","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1908.01146","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030234311","display_name":"Wentai Wu","orcid":"https://orcid.org/0000-0001-5851-327X"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wentai Wu","raw_affiliation_strings":["Department of Computer Science, University of Warwick, Coventry, U.K"],"raw_orcid":"https://orcid.org/0000-0001-5851-327X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Warwick, Coventry, U.K","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064596191","display_name":"Ligang He","orcid":"https://orcid.org/0000-0002-5671-0576"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ligang He","raw_affiliation_strings":["Department of Computer Science, University of Warwick, Coventry, U.K"],"raw_orcid":"https://orcid.org/0000-0002-5671-0576","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Warwick, Coventry, U.K","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007440245","display_name":"Weiwei Lin","orcid":"https://orcid.org/0000-0001-6876-1795"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Lin","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6876-1795","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110394340","display_name":"Yi Su","orcid":"https://orcid.org/0009-0002-5580-0075"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yi Su","raw_affiliation_strings":["Department of Computer Science, University of Warwick, Coventry, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Warwick, Coventry, U.K","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037165576","display_name":"Yuhua Cui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuhua Cui","raw_affiliation_strings":["Research Institute of Worldwide Byte Information Security, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Worldwide Byte Information Security, Jinan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080175512","display_name":"Carsten Maple","orcid":"https://orcid.org/0000-0002-4715-212X"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Carsten Maple","raw_affiliation_strings":["Warwick Manufacturer Group, University of Warwick, Coventry, U.K"],"raw_orcid":"https://orcid.org/0000-0002-4715-212X","affiliations":[{"raw_affiliation_string":"Warwick Manufacturer Group, University of Warwick, Coventry, U.K","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051267613","display_name":"Stephen A. Jarvis","orcid":"https://orcid.org/0000-0002-1249-2167"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stephen Jarvis","raw_affiliation_strings":["College of Engineering and Physical Sciences, University of Birmingham, Birmingham, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering and Physical Sciences, University of Birmingham, Birmingham, U.K","institution_ids":["https://openalex.org/I79619799"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7567,"has_fulltext":false,"cited_by_count":66,"citation_normalized_percentile":{"value":0.94454246,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"34","issue":"9","first_page":"4147","last_page":"4160"},"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":0.9997000098228455,"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":0.9922999739646912,"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/computer-science","display_name":"Computer science","score":0.7016996741294861},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6717092990875244},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6517467498779297},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.609696626663208},{"id":"https://openalex.org/keywords/seasonality","display_name":"Seasonality","score":0.5875373482704163},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.535467803478241},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4480854570865631},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4371642470359802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3526342511177063},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28441858291625977},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12309637665748596}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7016996741294861},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6717092990875244},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6517467498779297},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.609696626663208},{"id":"https://openalex.org/C125403950","wikidata":"https://www.wikidata.org/wiki/Q2111082","display_name":"Seasonality","level":2,"score":0.5875373482704163},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.535467803478241},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4480854570865631},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4371642470359802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3526342511177063},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28441858291625977},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12309637665748596},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tkde.2020.3035685","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.3035685","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:wrap.warwick.ac.uk:144208","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:arXiv.org:1908.01146","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.01146","pdf_url":"https://arxiv.org/pdf/1908.01146","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/37bc9fd9-5289-42db-90a4-68c26ab58bcc","is_oa":true,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/37bc9fd9-5289-42db-90a4-68c26ab58bcc","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wu, W, He, L, Lin, W, Su, Y, Cui, Y, Maple, C & Jarvis, S 2022, 'Developing an Unsupervised Real-Time Anomaly Detection Scheme for Time Series with Multi-Seasonality', IEEE Transactions on Knowledge and Data Engineering, vol. 34, no. 9, pp. 4147-4160. https://doi.org/10.1109/TKDE.2020.3035685","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1908.01146","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.01146","pdf_url":"https://arxiv.org/pdf/1908.01146","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G1159932308","display_name":null,"funder_award_id":"201902010040","funder_id":"https://openalex.org/F4320334898","funder_display_name":"Guangzhou Science and Technology Program key projects"},{"id":"https://openalex.org/G3407485131","display_name":null,"funder_award_id":"2017B010126002","funder_id":"https://openalex.org/F4320324202","funder_display_name":"Guangdong Science and Technology Department"},{"id":"https://openalex.org/G3918016905","display_name":"\u57fa\u4e8e\u865a\u62df\u96c6\u7fa4\u4e0e\u5bb9\u5668\u6280\u672f\u7684\u8de8\u4e91\u6570\u636e\u5bc6\u96c6\u578b\u5de5\u4f5c\u6d41\u8ba1\u7b97\u7814\u7a76","funder_award_id":"61872084","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4138581256","display_name":null,"funder_award_id":"201802010010","funder_id":"https://openalex.org/F4320334898","funder_display_name":"Guangzhou Science and Technology Program key projects"},{"id":"https://openalex.org/G4314500828","display_name":null,"funder_award_id":"EP/N02334X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5091187257","display_name":null,"funder_award_id":"201807010052","funder_id":"https://openalex.org/F4320334898","funder_display_name":"Guangzhou Science and Technology Program key projects"},{"id":"https://openalex.org/G5160284993","display_name":null,"funder_award_id":"201907010001","funder_id":"https://openalex.org/F4320334898","funder_display_name":"Guangzhou Science and Technology Program key projects"},{"id":"https://openalex.org/G6863711020","display_name":null,"funder_award_id":"2019ZD26","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7282611729","display_name":null,"funder_award_id":"EP/R007195/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8079345471","display_name":null,"funder_award_id":"EP/N02298X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8569276088","display_name":"\u9762\u5411\u4e91\u8ba1\u7b97\u7684\u865a\u62df\u673a\u80fd\u8017\u6a21\u578b\u53ca\u5176\u5e94\u7528\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61772205","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"},{"id":"https://openalex.org/F4320324202","display_name":"Guangdong Science and Technology Department","ror":"https://ror.org/00tjzgn92"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320334898","display_name":"Guangzhou Science and Technology Program key projects","ror":"https://ror.org/00tjzgn92"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W119403003","https://openalex.org/W849628863","https://openalex.org/W1442292319","https://openalex.org/W1522301498","https://openalex.org/W1598358187","https://openalex.org/W1815076433","https://openalex.org/W1992866626","https://openalex.org/W1995443851","https://openalex.org/W2022771005","https://openalex.org/W2026430219","https://openalex.org/W2029438113","https://openalex.org/W2044777538","https://openalex.org/W2056999868","https://openalex.org/W2071377705","https://openalex.org/W2078559879","https://openalex.org/W2085866051","https://openalex.org/W2093564481","https://openalex.org/W2101234009","https://openalex.org/W2105497548","https://openalex.org/W2109316012","https://openalex.org/W2113271473","https://openalex.org/W2123256336","https://openalex.org/W2137130182","https://openalex.org/W2186910770","https://openalex.org/W2278186031","https://openalex.org/W2278984902","https://openalex.org/W2318460400","https://openalex.org/W2361765050","https://openalex.org/W2404692435","https://openalex.org/W2410999552","https://openalex.org/W2437244913","https://openalex.org/W2437679399","https://openalex.org/W2461729787","https://openalex.org/W2474046725","https://openalex.org/W2490586035","https://openalex.org/W2608190038","https://openalex.org/W2614786548","https://openalex.org/W2620661538","https://openalex.org/W2622612680","https://openalex.org/W2676890506","https://openalex.org/W2702877955","https://openalex.org/W2747599906","https://openalex.org/W2795891046","https://openalex.org/W2810872865","https://openalex.org/W2895891814","https://openalex.org/W2897710418","https://openalex.org/W2902455138","https://openalex.org/W2922207751","https://openalex.org/W2929084559","https://openalex.org/W2950729596","https://openalex.org/W2963541464","https://openalex.org/W2964121744","https://openalex.org/W3105668694","https://openalex.org/W4237069999","https://openalex.org/W4250863759","https://openalex.org/W4293718132","https://openalex.org/W4297814361","https://openalex.org/W6628678161","https://openalex.org/W6631190155","https://openalex.org/W6635741669","https://openalex.org/W6675354045","https://openalex.org/W6718456096","https://openalex.org/W6720514713","https://openalex.org/W6723306929","https://openalex.org/W6732899423","https://openalex.org/W6756753118"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3120251014"],"abstract_inverted_index":{"On-line":[0],"detection":[1,79,97,127,180],"of":[2,32,38,68,88,110,144,147,184],"anomalies":[3],"in":[4,12,51,61,132,142,182],"time":[5,69,111],"series":[6,70,112],"is":[7,57],"a":[8,65,93,101,117,133],"key":[9],"technique":[10],"used":[11,187],"various":[13],"event-sensitive":[14],"scenarios":[15],"such":[16],"as":[17],"robotic":[18],"system":[19],"monitoring,":[20],"smart":[21],"sensor":[22],"networks":[23],"and":[24,35,84,107,124,136,166],"data":[25,33,53,71,139],"center":[26],"security.":[27],"However,":[28],"the":[29,36,48,105,108,185,195],"increasing":[30],"diversity":[31],"sources":[34],"variety":[37],"demands":[39],"make":[40],"this":[41],"task":[42],"more":[43],"challenging":[44],"than":[45],"ever.":[46],"First,":[47],"rapid":[49],"increase":[50],"unlabeled":[52],"means":[54],"supervised":[55],"learning":[56],"becoming":[58],"less":[59],"suitable":[60],"many":[62],"cases.":[63],"Second,":[64],"large":[66],"portion":[67],"have":[72,91,151],"complex":[73],"seasonality":[74],"features.":[75],"Third,":[76],"on-line":[77],"anomaly":[78,96,179],"needs":[80],"to":[81,155],"be":[82],"fast":[83],"reliable.":[85],"In":[86],"light":[87],"this,":[89],"we":[90,115],"developed":[92],"prediction-driven,":[94],"unsupervised":[95],"scheme,":[98],"which":[99],"adopts":[100],"backbone":[102],"model":[103],"combining":[104],"decomposition":[106],"inference":[109],"data.":[113],"Further,":[114],"propose":[116],"novel":[118],"metric,":[119,188],"Local":[120],"Trend":[121],"Inconsistency":[122],"(LTI),":[123],"an":[125],"efficient":[126],"algorithm":[128,158],"that":[129,173],"computes":[130],"LTI":[131],"real-time":[134],"manner":[135],"scores":[137],"each":[138],"point":[140],"robustly":[141],"terms":[143,183],"its":[145],"probability":[146],"being":[148],"anomalous.":[149],"We":[150],"conducted":[152],"extensive":[153],"experimentation":[154],"evaluate":[156],"our":[157,174],"with":[159],"several":[160],"datasets":[161],"from":[162],"both":[163],"public":[164],"repositories":[165],"production":[167],"environments.":[168],"The":[169],"experimental":[170],"results":[171],"show":[172],"scheme":[175],"outperforms":[176],"existing":[177],"representative":[178],"algorithms":[181],"commonly":[186],"Area":[189],"Under":[190],"Curve":[191],"(AUC),":[192],"while":[193],"achieving":[194],"desired":[196],"efficiency.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":8}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2020-11-09T00:00:00"}