{"id":"https://openalex.org/W2997116778","doi":"https://doi.org/10.1109/tnsm.2019.2962701","title":"Unsupervised Online Anomaly Detection With Parameter Adaptation for KPI Abrupt Changes","display_name":"Unsupervised Online Anomaly Detection With Parameter Adaptation for KPI Abrupt Changes","publication_year":2019,"publication_date":"2019-12-27","ids":{"openalex":"https://openalex.org/W2997116778","doi":"https://doi.org/10.1109/tnsm.2019.2962701","mag":"2997116778"},"language":"en","primary_location":{"id":"doi:10.1109/tnsm.2019.2962701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2019.2962701","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/A5082163396","display_name":"Guang Yu","orcid":"https://orcid.org/0000-0001-7995-6758"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guang Yu","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006334685","display_name":"Zhiping Cai","orcid":"https://orcid.org/0000-0001-5726-833X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiping Cai","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420080","display_name":"Siqi Wang","orcid":"https://orcid.org/0000-0002-8134-9508"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siqi Wang","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103046262","display_name":"Haiwen Chen","orcid":"https://orcid.org/0000-0001-8031-8008"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiwen Chen","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453028","display_name":"Fang Liu","orcid":"https://orcid.org/0000-0001-8753-3878"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Liu","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075435434","display_name":"Anfeng Liu","orcid":"https://orcid.org/0000-0001-5190-4761"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anfeng Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5082163396"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":3.9071,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.95018415,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"17","issue":"3","first_page":"1294","last_page":"1308"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9987000226974487,"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":0.5906175374984741},{"id":"https://openalex.org/keywords/performance-indicator","display_name":"Performance indicator","score":0.49832725524902344},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4740718901157379},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.41420888900756836},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40586286783218384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36363232135772705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5906175374984741},{"id":"https://openalex.org/C135510737","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance indicator","level":2,"score":0.49832725524902344},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4740718901157379},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.41420888900756836},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40586286783218384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36363232135772705},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnsm.2019.2962701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2019.2962701","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":[],"awards":[{"id":"https://openalex.org/G4086297175","display_name":null,"funder_award_id":"61702569","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7584325168","display_name":null,"funder_award_id":"61832020","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1566114229","https://openalex.org/W1673310716","https://openalex.org/W1966266075","https://openalex.org/W1975415766","https://openalex.org/W1980931819","https://openalex.org/W1987111416","https://openalex.org/W1994373811","https://openalex.org/W2015622179","https://openalex.org/W2026453187","https://openalex.org/W2029449924","https://openalex.org/W2040333627","https://openalex.org/W2049058890","https://openalex.org/W2073459066","https://openalex.org/W2080099070","https://openalex.org/W2087922884","https://openalex.org/W2093606067","https://openalex.org/W2096179302","https://openalex.org/W2100106957","https://openalex.org/W2110020117","https://openalex.org/W2113462162","https://openalex.org/W2127218421","https://openalex.org/W2132115996","https://openalex.org/W2162344247","https://openalex.org/W2164099512","https://openalex.org/W2236871065","https://openalex.org/W2323958325","https://openalex.org/W2343614814","https://openalex.org/W2512573859","https://openalex.org/W2555676925","https://openalex.org/W2599354622","https://openalex.org/W2667207928","https://openalex.org/W2756396702","https://openalex.org/W2785362611","https://openalex.org/W2901543039","https://openalex.org/W2912126994","https://openalex.org/W3098957257","https://openalex.org/W4245050711","https://openalex.org/W4248272555","https://openalex.org/W6633857196","https://openalex.org/W6637131181","https://openalex.org/W6649122387","https://openalex.org/W6668990524","https://openalex.org/W6672341330","https://openalex.org/W6676983613","https://openalex.org/W6678914141"],"related_works":["https://openalex.org/W4247684345","https://openalex.org/W3112312521","https://openalex.org/W1189599866","https://openalex.org/W2965802358","https://openalex.org/W2105642232","https://openalex.org/W2191209502","https://openalex.org/W2593151226","https://openalex.org/W2754119095","https://openalex.org/W1989498862","https://openalex.org/W4303471093"],"abstract_inverted_index":{"IT":[0],"companies":[1],"need":[2],"to":[3,16,27,69,240],"monitor":[4],"various":[5,46,109],"Key":[6],"Performance":[7],"Indicators":[8],"(KPIs)":[9],"and":[10,20,34,38,79,83,149,168,189,196,213,245],"detect":[11],"anomalies":[12,37,64,76,87,130],"in":[13,65,67,77,99,108,254],"real":[14],"time":[15],"ensure":[17],"the":[18,28,32,39,61,100,127,132,206,214,228],"quality":[19],"reliability":[21],"of":[22,30,36,41,63,86,129,202,209,216,251],"Internet-based":[23],"services.":[24,102],"However,":[25],"due":[26],"diversity":[29],"KPIs,":[31,110],"ambiguity":[33],"scarcity":[35],"lack":[40],"labels,":[42],"anomaly":[43,55,120],"detection":[44,56,121,176],"for":[45,131,227],"KPIs":[47,66,78,204],"has":[48],"been":[49],"a":[50,81,199,247],"great":[51],"challenge.":[52],"Existing":[53],"KPI":[54,241],"methods":[57,188],"have":[58],"not":[59],"explored":[60],"properties":[62],"detail":[68],"our":[70],"best":[71],"knowledge.":[72],"Therefore,":[73],"we":[74,111,223],"explore":[75],"recognize":[80],"common":[82],"important":[84],"form":[85],"named":[88],"<italic":[89,104,113,180,210,217,234],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[90,105,114,142,152,159,170,181,211,218,235],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">abrupt":[91,106,219],"changes</i>":[92,107,220],",":[93,116],"which":[94,231],"often":[95],"indicate":[96],"potential":[97],"failures":[98],"relevant":[101],"For":[103],"propose":[112,136],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">DDCOL</i>":[115,182,212,236],"an":[117,225],"unsupervised":[118,190],"online":[119],"algorithm":[122],"with":[123,165,177,185],"parameter":[124,166],"adaptation":[125,167],"from":[126],"perspective":[128],"first":[133],"time.":[134],"We":[135],"three":[137],"techniques:":[138],"high":[139],"order":[140],"<inline-formula":[141,151,158,169],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[143,153,160,171],"<tex-math":[144,154,161,172],"notation=\"LaTeX\">${D}$":[145,155],"</tex-math></inline-formula>":[146,156,163,174],"ifference":[147],"extraction":[148],"combination,":[150],"ensity-based":[157],"notation=\"LaTeX\">${C}$":[162],"lustering":[164],"notation=\"LaTeX\">${O}\\text{n}{L}$":[173],"ine":[175],"subsampling":[178],"(":[179],").":[183],"Compared":[184],"traditional":[186],"statistical":[187],"learning":[191],"methods,":[192],"extensive":[193],"experimental":[194],"results":[195],"analysis":[197],"on":[198],"large":[200],"number":[201],"public":[203],"show":[205],"competitive":[207],"performance":[208],"significance":[215],".":[221],"Furthermore,":[222],"provide":[224],"interpretation":[226],"promising":[229],"results,":[230],"shows":[232],"that":[233],"can":[237],"be":[238],"robust":[239],"expected":[242],"concept":[243],"drifts,":[244],"obtain":[246],"good":[248],"feature":[249],"distribution":[250],"normal":[252],"data":[253],"KPIs.":[255]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}