{"id":"https://openalex.org/W2534591110","doi":"https://doi.org/10.1145/2983323.2983344","title":"A Self-Learning and Online Algorithm for Time Series Anomaly Detection, with Application in CPU Manufacturing","display_name":"A Self-Learning and Online Algorithm for Time Series Anomaly Detection, with Application in CPU Manufacturing","publication_year":2016,"publication_date":"2016-10-24","ids":{"openalex":"https://openalex.org/W2534591110","doi":"https://doi.org/10.1145/2983323.2983344","mag":"2534591110"},"language":"en","primary_location":{"id":"doi:10.1145/2983323.2983344","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2983323.2983344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM International on Conference on Information and Knowledge Management","raw_type":"proceedings-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/A5100609323","display_name":"Xing Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xing Wang","raw_affiliation_strings":["George Mason University, Fairfax, VA, USA"],"affiliations":[{"raw_affiliation_string":"George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101558875","display_name":"Jessica Lin","orcid":"https://orcid.org/0000-0002-4887-0692"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jessica Lin","raw_affiliation_strings":["George Mason University, Fairfax, VA, USA"],"affiliations":[{"raw_affiliation_string":"George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042327271","display_name":"Nital S. Patel","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nital Patel","raw_affiliation_strings":["Intel Corporation, Chandler, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Intel Corporation, Chandler, AZ, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019584567","display_name":"Martin Braun","orcid":"https://orcid.org/0000-0003-0857-6760"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Martin Braun","raw_affiliation_strings":["Intel Corporation, Chandler, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Intel Corporation, Chandler, AZ, USA","institution_ids":["https://openalex.org/I1343180700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100609323"],"corresponding_institution_ids":["https://openalex.org/I162714631"],"apc_list":null,"apc_paid":null,"fwci":4.7132,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.95421352,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1823","last_page":"1832"},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9843000173568726,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8539401292800903},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7372499704360962},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.7236728668212891},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6097027659416199},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5504740476608276},{"id":"https://openalex.org/keywords/central-processing-unit","display_name":"Central processing unit","score":0.41739511489868164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41449376940727234},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41431277990341187},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3999176025390625},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33412861824035645}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8539401292800903},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7372499704360962},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.7236728668212891},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6097027659416199},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5504740476608276},{"id":"https://openalex.org/C49154492","wikidata":"https://www.wikidata.org/wiki/Q5300","display_name":"Central processing unit","level":2,"score":0.41739511489868164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41449376940727234},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41431277990341187},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3999176025390625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33412861824035645},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2983323.2983344","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2983323.2983344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM International on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"},{"id":"https://openalex.org/F4320307102","display_name":"Intel Corporation","ror":"https://ror.org/01ek73717"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W119141618","https://openalex.org/W187473460","https://openalex.org/W1520274045","https://openalex.org/W1608068741","https://openalex.org/W1979877030","https://openalex.org/W2007267444","https://openalex.org/W2019014808","https://openalex.org/W2038869097","https://openalex.org/W2049058890","https://openalex.org/W2063729131","https://openalex.org/W2066796814","https://openalex.org/W2079054072","https://openalex.org/W2086600682","https://openalex.org/W2093606067","https://openalex.org/W2105510466","https://openalex.org/W2105686649","https://openalex.org/W2113049098","https://openalex.org/W2122053769","https://openalex.org/W2123402141","https://openalex.org/W2127100972","https://openalex.org/W2147347448","https://openalex.org/W2164274563","https://openalex.org/W2278984902","https://openalex.org/W2293031124","https://openalex.org/W2402068992","https://openalex.org/W2406760356","https://openalex.org/W3003570873","https://openalex.org/W3030847828","https://openalex.org/W3138410149","https://openalex.org/W3169372665","https://openalex.org/W4211139099"],"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/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4300558037","https://openalex.org/W4377864969","https://openalex.org/W3030345572"],"abstract_inverted_index":{"The":[0],"problem":[1],"of":[2,12,40],"anomaly":[3,52],"detection":[4,53],"in":[5,14,71],"time":[6,30,59,74],"series":[7],"has":[8],"received":[9],"a":[10,49],"lot":[11],"attention":[13],"the":[15,25,38,64,68,72,99,108],"past":[16],"two":[17,85],"decades.":[18],"However,":[19],"existing":[20],"techniques":[21],"cannot":[22],"locate":[23],"where":[24,67],"anomalies":[26,69,101],"are":[27],"within":[28],"anomalous":[29,58],"series,":[31,60],"or":[32],"they":[33],"require":[34],"users":[35],"to":[36],"provide":[37],"length":[39],"potential":[41],"anomalies.":[42],"To":[43],"address":[44],"these":[45],"limitations,":[46],"we":[47],"propose":[48],"self-learning":[50],"online":[51],"algorithm":[54],"that":[55,93],"automatically":[56],"identifies":[57],"as":[61,63],"well":[62],"exact":[65],"locations":[66],"occur":[70],"detected":[73],"series.":[75],"We":[76,91],"evaluate":[77],"our":[78,94],"approach":[79,95],"on":[80],"several":[81],"real":[82],"datasets,":[83],"including":[84],"CPU":[86],"manufacturing":[87],"data":[88],"from":[89],"Intel.":[90],"demonstrate":[92],"can":[96],"successfully":[97],"detect":[98],"correct":[100],"without":[102],"requiring":[103],"any":[104],"prior":[105],"knowledge":[106],"about":[107],"data.":[109]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
