{"id":"https://openalex.org/W1561214659","doi":"https://doi.org/10.1109/icassp.2015.7179042","title":"Universal outlier hypothesis testing: Application to anomaly detection","display_name":"Universal outlier hypothesis testing: Application to anomaly detection","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1561214659","doi":"https://doi.org/10.1109/icassp.2015.7179042","mag":"1561214659"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2015.7179042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7179042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101793983","display_name":"Yun Li","orcid":"https://orcid.org/0000-0002-7628-0358"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yun Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering and Coordinated Science Laboratory, University of Illinois at Urbana-Champaign","Dept. of Electrical and Computer Engineering and Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and Coordinated Science Laboratory, University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering and Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011106798","display_name":"Sirin Nitinawarat","orcid":"https://orcid.org/0000-0002-4996-4949"},"institutions":[{"id":"https://openalex.org/I19268510","display_name":"Qualcomm (United Kingdom)","ror":"https://ror.org/04d3djg48","country_code":"GB","type":"company","lineage":["https://openalex.org/I19268510","https://openalex.org/I4210087596"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sirin Nitinawarat","raw_affiliation_strings":["Qualcomm Technologies, Inc","Qualcomm Technologies Inc,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qualcomm Technologies, Inc","institution_ids":["https://openalex.org/I19268510"]},{"raw_affiliation_string":"Qualcomm Technologies Inc,India","institution_ids":["https://openalex.org/I19268510"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075435632","display_name":"Yu Su","orcid":"https://orcid.org/0000-0003-4306-0161"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Su","raw_affiliation_strings":["Department of Electrical and Computer Engineering and Coordinated Science Laboratory, University of Illinois at Urbana-Champaign","Dept. of Electrical and Computer Engineering and Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and Coordinated Science Laboratory, University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering and Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067089715","display_name":"Venugopal V. Veeravalli","orcid":"https://orcid.org/0000-0001-5490-0037"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Venugopal V. Veeravalli","raw_affiliation_strings":["Department of Electrical and Computer Engineering and Coordinated Science Laboratory, University of Illinois at Urbana-Champaign","Dept. of Electrical and Computer Engineering and Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and Coordinated Science Laboratory, University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering and Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"5595","last_page":"5599"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.821427047252655},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7699480056762695},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5460836291313171},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.523974597454071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5186114311218262},{"id":"https://openalex.org/keywords/sequential-probability-ratio-test","display_name":"Sequential probability ratio test","score":0.5092111825942993},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.5016796588897705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49136868119239807},{"id":"https://openalex.org/keywords/sequential-analysis","display_name":"Sequential analysis","score":0.47699764370918274},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4510197639465332},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.4509434998035431},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4489254653453827},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4397543966770172},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.42875561118125916},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.39129123091697693},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36908477544784546}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.821427047252655},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7699480056762695},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5460836291313171},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.523974597454071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5186114311218262},{"id":"https://openalex.org/C34602496","wikidata":"https://www.wikidata.org/wiki/Q2271882","display_name":"Sequential probability ratio test","level":2,"score":0.5092111825942993},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.5016796588897705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49136868119239807},{"id":"https://openalex.org/C80478641","wikidata":"https://www.wikidata.org/wiki/Q195771","display_name":"Sequential analysis","level":2,"score":0.47699764370918274},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4510197639465332},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.4509434998035431},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4489254653453827},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4397543966770172},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.42875561118125916},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.39129123091697693},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36908477544784546},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2015.7179042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7179042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1483985387","https://openalex.org/W1492251543","https://openalex.org/W1503398984","https://openalex.org/W1549664537","https://openalex.org/W1565377632","https://openalex.org/W1595074123","https://openalex.org/W1602011302","https://openalex.org/W1651093245","https://openalex.org/W1673310716","https://openalex.org/W1970411742","https://openalex.org/W1975906700","https://openalex.org/W1977862970","https://openalex.org/W1981155179","https://openalex.org/W1991315500","https://openalex.org/W2005650444","https://openalex.org/W2010140249","https://openalex.org/W2012037220","https://openalex.org/W2033387638","https://openalex.org/W2036646552","https://openalex.org/W2049058890","https://openalex.org/W2070139658","https://openalex.org/W2082603400","https://openalex.org/W2095062316","https://openalex.org/W2099111195","https://openalex.org/W2102931639","https://openalex.org/W2112142266","https://openalex.org/W2121947440","https://openalex.org/W2122646361","https://openalex.org/W2126751256","https://openalex.org/W2127904409","https://openalex.org/W2132914434","https://openalex.org/W2136414026","https://openalex.org/W2149268774","https://openalex.org/W2150844583","https://openalex.org/W2151370270","https://openalex.org/W2153190668","https://openalex.org/W2154966010","https://openalex.org/W2161115820","https://openalex.org/W2165874743","https://openalex.org/W2167770337","https://openalex.org/W2170449627","https://openalex.org/W2212660284","https://openalex.org/W2296319761","https://openalex.org/W2479395228","https://openalex.org/W2505879829","https://openalex.org/W2568061926","https://openalex.org/W2787894218","https://openalex.org/W2796104831","https://openalex.org/W2999729612","https://openalex.org/W3133603318","https://openalex.org/W4233941567","https://openalex.org/W4249009600","https://openalex.org/W6635383467","https://openalex.org/W6642073867"],"related_works":["https://openalex.org/W2397397884","https://openalex.org/W2051896275","https://openalex.org/W1992242051","https://openalex.org/W2408444874","https://openalex.org/W2978844261","https://openalex.org/W2542048200","https://openalex.org/W2356828428","https://openalex.org/W2050385455","https://openalex.org/W2055767408","https://openalex.org/W2151934678"],"abstract_inverted_index":{"In":[0,67],"outlier":[1,19,45],"hypothesis":[2],"testing,":[3],"multiple":[4],"observation":[5,101],"sequences":[6,46,102],"are":[7,14,21],"collected,":[8],"a":[9,24,71,108],"small":[10],"subset":[11],"of":[12,35,50,99,117],"which":[13],"outliers.":[15],"Observations":[16],"in":[17,32,61],"an":[18],"sequence":[20],"generated":[22],"by":[23],"mechanism":[25],"different":[26],"from":[27],"that":[28],"generating":[29,53],"the":[30,33,44,51,62,68,75,82,92,97,100,115,118,130],"observations":[31],"majority":[34],"sequences.":[36],"The":[37,88],"goal":[38],"is":[39,59,86,121],"to":[40,107,123,126],"best":[41],"discern":[42],"all":[43],"without":[47],"any":[48],"knowledge":[49],"underlying":[52],"mechanisms.":[54],"A":[55],"generalized":[56,93],"likelihood":[57,94],"test":[58,72,85,90,95],"considered":[60],"fixed":[63],"sample":[64,136],"size":[65],"setting.":[66],"sequential":[69,89],"setting,":[70],"based":[73,128],"on":[74,129],"Multihypothesis":[76],"Sequential":[77],"Probability":[78],"Ratio":[79],"Test":[80],"and":[81],"repeated":[83],"significance":[84],"considered.":[87],"outperforms":[91],"when":[96],"lengths":[98],"exceed":[103],"certain":[104],"values.":[105],"Applied":[106],"real":[109],"data":[110],"set":[111],"for":[112,134],"spam":[113],"detection,":[114],"performance":[116],"proposed":[119],"tests":[120],"shown":[122],"be":[124],"superior":[125],"those":[127],"maximum":[131],"mean":[132],"discrepancy":[133],"large":[135],"size.":[137]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
