{"id":"https://openalex.org/W4288057688","doi":"https://doi.org/10.14778/3538598.3538602","title":"Anomaly detection in time series","display_name":"Anomaly detection in time series","publication_year":2022,"publication_date":"2022-05-01","ids":{"openalex":"https://openalex.org/W4288057688","doi":"https://doi.org/10.14778/3538598.3538602"},"language":"en","primary_location":{"id":"doi:10.14778/3538598.3538602","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3538598.3538602","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","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/A5051892912","display_name":"Sebastian Schmidl","orcid":"https://orcid.org/0000-0002-6597-9809"},"institutions":[{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Schmidl","raw_affiliation_strings":["University of Potsdam, Potsdam, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Potsdam, Potsdam, Germany","institution_ids":["https://openalex.org/I176453806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024678956","display_name":"Phillip Wenig","orcid":"https://orcid.org/0000-0002-8942-4322"},"institutions":[{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Phillip Wenig","raw_affiliation_strings":["University of Potsdam, Potsdam, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Potsdam, Potsdam, Germany","institution_ids":["https://openalex.org/I176453806"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047144042","display_name":"Thorsten Papenbrock","orcid":"https://orcid.org/0000-0002-4019-8221"},"institutions":[{"id":"https://openalex.org/I161103922","display_name":"Philipps University of Marburg","ror":"https://ror.org/01rdrb571","country_code":"DE","type":"education","lineage":["https://openalex.org/I161103922"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thorsten Papenbrock","raw_affiliation_strings":["Philipps University of Marburg, Marburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Philipps University of Marburg, Marburg, Germany","institution_ids":["https://openalex.org/I161103922"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":50.1234,"has_fulltext":false,"cited_by_count":515,"citation_normalized_percentile":{"value":0.99906446,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"15","issue":"9","first_page":"1779","last_page":"1797"},"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":0.9991999864578247,"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":0.9961000084877014,"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/anomaly-detection","display_name":"Anomaly detection","score":0.8651114106178284},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7133156061172485},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5606346726417542},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5449000000953674},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4713399112224579},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46741247177124023},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.44395729899406433},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.42386531829833984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3704453706741333},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35623428225517273},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14229217171669006},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.07853320240974426}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8651114106178284},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7133156061172485},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5606346726417542},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5449000000953674},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4713399112224579},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46741247177124023},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.44395729899406433},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.42386531829833984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3704453706741333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35623428225517273},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14229217171669006},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.07853320240974426},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.14778/3538598.3538602","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3538598.3538602","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},{"id":"pmh:oai:kobv.de-opus4-uni-potsdam:65170","is_oa":false,"landing_page_url":"https://publishup.uni-potsdam.de/frontdoor/index/index/docId/65170","pdf_url":null,"source":{"id":"https://openalex.org/S4306400594","display_name":"publish.UP (University of Potsdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I176453806","host_organization_name":"University of Potsdam","host_organization_lineage":["https://openalex.org/I176453806"],"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":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":131,"referenced_works":["https://openalex.org/W93424348","https://openalex.org/W286152367","https://openalex.org/W1489312849","https://openalex.org/W1547560574","https://openalex.org/W1582873796","https://openalex.org/W1584412742","https://openalex.org/W1597240425","https://openalex.org/W1788497923","https://openalex.org/W1965189448","https://openalex.org/W1970814655","https://openalex.org/W1973682096","https://openalex.org/W1976526581","https://openalex.org/W1985031012","https://openalex.org/W1995003166","https://openalex.org/W2002433412","https://openalex.org/W2013746897","https://openalex.org/W2018588330","https://openalex.org/W2019014808","https://openalex.org/W2026493302","https://openalex.org/W2038819732","https://openalex.org/W2045064676","https://openalex.org/W2051502837","https://openalex.org/W2055865901","https://openalex.org/W2070535792","https://openalex.org/W2080944716","https://openalex.org/W2084763720","https://openalex.org/W2101329222","https://openalex.org/W2103448012","https://openalex.org/W2103867289","https://openalex.org/W2105510466","https://openalex.org/W2106606334","https://openalex.org/W2110784166","https://openalex.org/W2117030594","https://openalex.org/W2122646361","https://openalex.org/W2126511896","https://openalex.org/W2127979711","https://openalex.org/W2128892560","https://openalex.org/W2131246849","https://openalex.org/W2140369911","https://openalex.org/W2144200194","https://openalex.org/W2152576712","https://openalex.org/W2155653793","https://openalex.org/W2157825442","https://openalex.org/W2161206385","https://openalex.org/W2162800060","https://openalex.org/W2182886880","https://openalex.org/W2186910770","https://openalex.org/W2295598076","https://openalex.org/W2296719434","https://openalex.org/W2343620495","https://openalex.org/W2406760356","https://openalex.org/W2409205391","https://openalex.org/W2522875001","https://openalex.org/W2534591110","https://openalex.org/W2538859255","https://openalex.org/W2548252014","https://openalex.org/W2550291951","https://openalex.org/W2557557714","https://openalex.org/W2583336059","https://openalex.org/W2584499795","https://openalex.org/W2620661538","https://openalex.org/W2676890506","https://openalex.org/W2743617586","https://openalex.org/W2753802340","https://openalex.org/W2765350348","https://openalex.org/W2768800090","https://openalex.org/W2785362611","https://openalex.org/W2786827964","https://openalex.org/W2786862881","https://openalex.org/W2800015774","https://openalex.org/W2809400334","https://openalex.org/W2810586164","https://openalex.org/W2811507150","https://openalex.org/W2886736558","https://openalex.org/W2888245863","https://openalex.org/W2895543640","https://openalex.org/W2896333468","https://openalex.org/W2899638272","https://openalex.org/W2906498146","https://openalex.org/W2907759361","https://openalex.org/W2911200746","https://openalex.org/W2911964244","https://openalex.org/W2943613229","https://openalex.org/W2944981198","https://openalex.org/W2948517885","https://openalex.org/W2950361482","https://openalex.org/W2954960318","https://openalex.org/W2962736999","https://openalex.org/W2963166639","https://openalex.org/W2963197901","https://openalex.org/W2976507397","https://openalex.org/W2978236572","https://openalex.org/W2982490718","https://openalex.org/W2982975975","https://openalex.org/W2983029853","https://openalex.org/W2990730058","https://openalex.org/W2993005532","https://openalex.org/W2998758436","https://openalex.org/W3003089943","https://openalex.org/W3004207920","https://openalex.org/W3009734459","https://openalex.org/W3013706540","https://openalex.org/W3020819267","https://openalex.org/W3031577140","https://openalex.org/W3040099731","https://openalex.org/W3080933703","https://openalex.org/W3081830030","https://openalex.org/W3098957257","https://openalex.org/W3102221121","https://openalex.org/W3104917574","https://openalex.org/W3105816646","https://openalex.org/W3105931142","https://openalex.org/W3106255857","https://openalex.org/W3106543020","https://openalex.org/W3127386226","https://openalex.org/W3128465814","https://openalex.org/W3135644052","https://openalex.org/W3138403760","https://openalex.org/W3152030785","https://openalex.org/W3176476506","https://openalex.org/W3198800015","https://openalex.org/W4237069999","https://openalex.org/W4243228919","https://openalex.org/W4243563432","https://openalex.org/W4253461361","https://openalex.org/W4254182148","https://openalex.org/W4256141317","https://openalex.org/W4393829392","https://openalex.org/W6940915336","https://openalex.org/W6941418867","https://openalex.org/W6959563370"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W2143820878","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W2096210555","https://openalex.org/W4300558037"],"abstract_inverted_index":{"Detecting":[0],"anomalous":[1,70],"subsequences":[2],"in":[3,11,83],"time":[4,48,159],"series":[5,49,160],"data":[6,57],"is":[7,42,102,128],"an":[8],"important":[9,28],"task":[10,127],"areas":[12],"ranging":[13],"from":[14,151,167],"manufacturing":[15],"processes":[16],"over":[17],"finance":[18],"applications":[19],"to":[20,174],"health":[21],"care":[22],"monitoring.":[23],"An":[24],"anomaly":[25,77,125,140,148,180],"can":[26],"indicate":[27],"events,":[29],"such":[30,69,208],"as":[31,209],"production":[32],"faults,":[33],"delivery":[34],"bottlenecks,":[35],"system":[36],"defects,":[37],"or":[38],"heart":[39],"flicker,":[40],"and":[41,53,74,96,109,145,154,171,194,202,212,223],"therefore":[43],"of":[44,68,76,89,179,191],"central":[45],"interest.":[46],"Because":[47],"are":[50],"often":[51],"large":[52],"exhibit":[54],"complex":[55],"patterns,":[56],"scientists":[58],"have":[59,92,164],"developed":[60,94],"various":[61],"specialized":[62],"algorithms":[63,79,150,163],"for":[64,122],"the":[65,84,111,118,176,184,192,219],"automatic":[66],"detection":[67,78,120,126,141,149,172,181],"patterns.":[71],"The":[72,162],"number":[73],"variety":[75],"has":[80],"grown":[81],"significantly":[82],"past":[85],"and,":[86,204],"because":[87],"many":[88],"these":[90],"solutions":[91],"been":[93,165],"independently":[95],"by":[97],"different":[98,112,152,168],"research":[99,227],"communities,":[100],"there":[101],"no":[103],"comprehensive":[104],"study":[105,135],"that":[106],"systematically":[107],"evaluates":[108,137],"compares":[110],"approaches.":[113],"For":[114],"this":[115],"reason,":[116],"choosing":[117],"best":[119],"technique":[121],"a":[123,129,188],"given":[124],"difficult":[130],"challenge.":[131],"This":[132],"comprehensive,":[133],"scientific":[134],"carefully":[136],"most":[138],"state-of-the-art":[139],"algorithms.":[142],"We":[143],"collected":[144],"re-implemented":[146],"71":[147],"domains":[153],"evaluated":[155],"them":[156],"on":[157],"976":[158],"datasets.":[161],"selected":[166],"algorithm":[169,220],"families":[170],"approaches":[173],"represent":[175],"entire":[177],"spectrum":[178],"techniques.":[182],"In":[183],"paper,":[185],"we":[186,197],"provide":[187],"concise":[189],"overview":[190],"techniques":[193],"their":[195,199],"commonalities;":[196],"evaluate":[198],"individual":[200],"strengths":[201],"weaknesses":[203],"thereby,":[205],"consider":[206],"factors,":[207],"effectiveness,":[210],"efficiency,":[211],"robustness.":[213],"Our":[214],"experimental":[215],"results":[216],"should":[217],"ease":[218],"selection":[221],"problem":[222],"open":[224],"up":[225],"new":[226],"directions.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":84},{"year":2025,"cited_by_count":191},{"year":2024,"cited_by_count":165},{"year":2023,"cited_by_count":68},{"year":2022,"cited_by_count":7}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}