{"id":"https://openalex.org/W2947096836","doi":"https://doi.org/10.1109/tnsm.2019.2919327","title":"Automatic and Generic Periodicity Adaptation for KPI Anomaly Detection","display_name":"Automatic and Generic Periodicity Adaptation for KPI Anomaly Detection","publication_year":2019,"publication_date":"2019-05-28","ids":{"openalex":"https://openalex.org/W2947096836","doi":"https://doi.org/10.1109/tnsm.2019.2919327","mag":"2947096836"},"language":"en","primary_location":{"id":"doi:10.1109/tnsm.2019.2919327","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2019.2919327","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"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 Network and Service Management","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/A5102769427","display_name":"Nengwen Zhao","orcid":null},"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":"Nengwen Zhao","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100694507","display_name":"Jing Zhu","orcid":"https://orcid.org/0000-0002-3524-6532"},"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":"Jing Zhu","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319039","display_name":"Yao Wang","orcid":"https://orcid.org/0000-0003-3199-3802"},"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":"Yao Wang","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070950193","display_name":"Minghua Ma","orcid":"https://orcid.org/0000-0002-6303-1731"},"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":"Minghua Ma","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101581273","display_name":"Wenchi Zhang","orcid":"https://orcid.org/0000-0002-5599-030X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenchi Zhang","raw_affiliation_strings":["AIOps Research Lab, BizSeer, Beijing, China"],"affiliations":[{"raw_affiliation_string":"AIOps Research Lab, BizSeer, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103325848","display_name":"Dapeng Liu","orcid":"https://orcid.org/0009-0003-2973-9167"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dapeng Liu","raw_affiliation_strings":["AIOps Research Lab, BizSeer, Beijing, China"],"affiliations":[{"raw_affiliation_string":"AIOps Research Lab, BizSeer, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100447267","display_name":"Ming Zhang","orcid":"https://orcid.org/0000-0002-4214-9423"},"institutions":[{"id":"https://openalex.org/I874390226","display_name":"China Construction Bank","ror":"https://ror.org/00xkrw816","country_code":"CN","type":"other","lineage":["https://openalex.org/I874390226"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Zhang","raw_affiliation_strings":["Data Center Department, China Construction Bank, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Data Center Department, China Construction Bank, Beijing, China","institution_ids":["https://openalex.org/I874390226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046419834","display_name":"Dan Pei","orcid":"https://orcid.org/0000-0002-5113-838X"},"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":"Dan Pei","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5102769427"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":3.8545,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.9442987,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"16","issue":"3","first_page":"1170","last_page":"1183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9975000023841858,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9975000023841858,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9968000054359436,"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":0.9794999957084656,"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/performance-indicator","display_name":"Performance indicator","score":0.8791157603263855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.772483229637146},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6831231117248535},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.6382735371589661},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.602010190486908},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.531010091304779},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5208842754364014},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5014235973358154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2816949784755707}],"concepts":[{"id":"https://openalex.org/C135510737","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance indicator","level":2,"score":0.8791157603263855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.772483229637146},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6831231117248535},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.6382735371589661},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.602010190486908},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.531010091304779},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5208842754364014},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5014235973358154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2816949784755707},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnsm.2019.2919327","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2019.2919327","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"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 Network and Service Management","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320329777","display_name":"Beijing National Research Center For Information Science And Technology","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W27994497","https://openalex.org/W116902681","https://openalex.org/W178113997","https://openalex.org/W1673310716","https://openalex.org/W1894414046","https://openalex.org/W1980849679","https://openalex.org/W1980931819","https://openalex.org/W1987971958","https://openalex.org/W2006439594","https://openalex.org/W2026453187","https://openalex.org/W2036557187","https://openalex.org/W2037537012","https://openalex.org/W2083620785","https://openalex.org/W2091921805","https://openalex.org/W2093564481","https://openalex.org/W2093606067","https://openalex.org/W2097747115","https://openalex.org/W2102481563","https://openalex.org/W2109820980","https://openalex.org/W2122646361","https://openalex.org/W2127218421","https://openalex.org/W2132914434","https://openalex.org/W2136457015","https://openalex.org/W2148500771","https://openalex.org/W2161695290","https://openalex.org/W2162344247","https://openalex.org/W2413305997","https://openalex.org/W2474046725","https://openalex.org/W2555676925","https://openalex.org/W2620661538","https://openalex.org/W2768931686","https://openalex.org/W2785362611","https://openalex.org/W2786827964","https://openalex.org/W2795859997","https://openalex.org/W2897937115","https://openalex.org/W2901543039","https://openalex.org/W2963166639","https://openalex.org/W2986651795","https://openalex.org/W2999729612","https://openalex.org/W3098957257","https://openalex.org/W3106543020","https://openalex.org/W4252684946","https://openalex.org/W4285719527","https://openalex.org/W6604828220","https://openalex.org/W6607212033","https://openalex.org/W6637131181","https://openalex.org/W6659467978","https://openalex.org/W6678914141","https://openalex.org/W6715594571","https://openalex.org/W6769653021"],"related_works":["https://openalex.org/W2045049461","https://openalex.org/W4381094582","https://openalex.org/W1978893398","https://openalex.org/W1977906818","https://openalex.org/W2201908702","https://openalex.org/W2369625323","https://openalex.org/W2364579609","https://openalex.org/W1522139108","https://openalex.org/W2353528968","https://openalex.org/W2032776242"],"abstract_inverted_index":{"Key":[0],"performance":[1,91],"indicator":[2],"(KPI)":[3],"anomaly":[4],"detection":[5],"(AD)":[6],"is":[7],"critical":[8],"to":[9,16,55,60,100,123,157],"ensure":[10],"service":[11],"quality":[12],"and":[13,25,72,88,97],"reliability.":[14],"Due":[15],"the":[17,61,81,90,119,146],"effects":[18],"of":[19,44,63,92,149],"work":[20],"days,":[21,23,38],"off":[22],"festivals,":[24],"business":[26],"activities":[27],"on":[28,131,137],"user":[29],"behavior,":[30],"KPIs":[31,110,139],"may":[32],"exhibit":[33],"different":[34,37,101,112],"patterns":[35],"within":[36],"which":[39,77],"we":[40,68],"call":[41],"periodicity":[42,57,82,102,113,125],"profiles":[43,58,83,114],"KPIs.":[45],"However,":[46],"existing":[47],"KPI":[48],"AD":[49,93,153],"approaches":[50,154],"have":[51],"difficulties":[52],"in":[53],"adapting":[54,99],"diverse":[56],"due":[59],"lack":[62],"generality.":[64],"In":[65,104],"this":[66],"paper,":[67],"propose":[69],"an":[70],"automatic":[71],"generic":[73],"framework":[74],"called":[75],"Period,":[76],"can":[78,126,143],"accurately":[79],"detect":[80,124],"through":[84],"daily":[85],"subsequences":[86],"clustering,":[87],"improve":[89,145],"methods":[94],"by":[95,155],"robustly":[96],"automatically":[98],"profiles.":[103],"our":[105],"evaluation":[106,136],"using":[107],"several":[108,150],"real-world":[109],"with":[111],"from":[115],"large":[116],"Internet-based":[117],"services,":[118],"clustering":[120],"algorithm":[121],"used":[122,152],"achieve":[127],"about":[128],"0.95":[129],"accuracy":[130],"average.":[132],"More":[133],"importantly,":[134],"further":[135],"56":[138],"shows":[140],"that":[141],"Period":[142],"significantly":[144],"best":[147],"F-score":[148],"widely":[151],"up":[156],"0.66.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}