{"id":"https://openalex.org/W2974976221","doi":"https://doi.org/10.1109/isit.2019.8849555","title":"Sequential anomaly detection with observation control","display_name":"Sequential anomaly detection with observation control","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2974976221","doi":"https://doi.org/10.1109/isit.2019.8849555","mag":"2974976221"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2019.8849555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2019.8849555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Information Theory (ISIT)","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/A5049312480","display_name":"Aristomenis Tsopelakos","orcid":"https://orcid.org/0000-0002-8408-6715"},"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":true,"raw_author_name":"Aristomenis Tsopelakos","raw_affiliation_strings":["Coordinated Science Lab, University of Illinois at Urbana-Champaign","Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"Coordinated Science Lab, University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031479602","display_name":"Georgios Fellouris","orcid":"https://orcid.org/0000-0001-6852-700X"},"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":"Georgios Fellouris","raw_affiliation_strings":["Coordinated Science Lab, University of Illinois at Urbana-Champaign","Department of Statistics, University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"Coordinated Science Lab, University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Department of Statistics, University of Illinois at Urbana-Champaign","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":["Coordinated Science Lab, University of Illinois at Urbana-Champaign","Department of Statistics, University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"Coordinated Science Lab, University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Department of Statistics, University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049312480"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":3.3211,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.94359806,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2389","last_page":"2393"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9965000152587891,"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"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9965000152587891,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9950000047683716,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9937000274658203,"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/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.749603807926178},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.7088703513145447},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5901150107383728},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5644640326499939},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5250542163848877},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4247586727142334},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4143458902835846},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40652555227279663},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36700373888015747},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3241773247718811},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20142650604248047},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.10983425378799438}],"concepts":[{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.749603807926178},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.7088703513145447},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5901150107383728},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5644640326499939},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5250542163848877},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4247586727142334},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4143458902835846},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40652555227279663},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36700373888015747},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3241773247718811},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20142650604248047},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.10983425378799438},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2019.8849555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2019.8849555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1607445173","https://openalex.org/W1969526548","https://openalex.org/W1978470213","https://openalex.org/W1990503235","https://openalex.org/W2019645207","https://openalex.org/W2045030310","https://openalex.org/W2112142266","https://openalex.org/W2115599658","https://openalex.org/W2170341113","https://openalex.org/W2293630622","https://openalex.org/W2743681928","https://openalex.org/W2921555704","https://openalex.org/W4232896127"],"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":[0,33],"problem":[1,34],"of":[2,22,57,121],"anomaly":[3],"detection":[4],"is":[5,15,35,65,77],"considered":[6],"when":[7],"multiple":[8],"processes":[9],"are":[10],"observed":[11],"sequentially,":[12],"but":[13],"it":[14],"possible":[16,42],"to":[17,28,36,79,105],"sample":[18],"only":[19],"a":[20,25,82],"subset":[21],"them":[23],"at":[24],"time":[26],"according":[27],"an":[29],"adaptive":[30],"sampling":[31,38,101,112],"policy.":[32],"stop":[37],"as":[39,41,93],"soon":[40],"and":[43,98,125],"identify":[44],"the":[45,61,69,73,89,94,100,122,126],"anomalous":[46,70],"processes,":[47,71],"while":[48],"controlling":[49],"appropriate":[50],"error":[51,95],"probabilities.":[52],"We":[53],"consider":[54],"two":[55,111],"versions":[56],"this":[58],"problem:":[59],"in":[60,72,119],"first":[62],"one":[63],"there":[64],"no":[66],"assumption":[67],"regarding":[68],"second":[74],"their":[75],"number":[76],"assumed":[78],"be":[80],"known":[81],"priori.":[83],"For":[84],"each":[85,115],"version,":[86],"we":[87,109],"obtain":[88],"optimal":[90],"asymptotic":[91,106],"performance":[92,128],"probabilities":[96],"vanish":[97],"characterize":[99],"rules":[102,113],"that":[103],"lead":[104],"optimality.":[107],"Moreover,":[108],"present":[110],"for":[114],"setup,":[116],"which":[117],"differ":[118],"terms":[120],"computational":[123],"complexity":[124],"actual":[127],"they":[129],"imply.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":5}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}
