{"id":"https://openalex.org/W2019645207","doi":"https://doi.org/10.1109/tit.2013.2253351","title":"Quick Search for Rare Events","display_name":"Quick Search for Rare Events","publication_year":2013,"publication_date":"2013-03-19","ids":{"openalex":"https://openalex.org/W2019645207","doi":"https://doi.org/10.1109/tit.2013.2253351","mag":"2019645207"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2013.2253351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2013.2253351","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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 Information Theory","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/A5054103414","display_name":"Ali Tajer","orcid":"https://orcid.org/0000-0002-3513-4135"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ali Tajer","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Wayne State University, Detroit, MI, USA","Dept. of Electr. & Comput. Engg, Wayne State Univ., Detroit, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Wayne State University, Detroit, MI, USA","institution_ids":["https://openalex.org/I185443292"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Engg, Wayne State Univ., Detroit, MI, USA","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042307561","display_name":"H. Vincent Poor","orcid":"https://orcid.org/0000-0002-2062-131X"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Vincent Poor","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","Dept. of Electr. Eng., Princeton Univ., Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Princeton Univ., Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054103414"],"corresponding_institution_ids":["https://openalex.org/I185443292"],"apc_list":null,"apc_paid":null,"fwci":7.3208,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.97462629,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"59","issue":"7","first_page":"4462","last_page":"4481"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9976000189781189,"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":0.9976000189781189,"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":0.9861000180244446,"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"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/rare-events","display_name":"Rare events","score":0.853716254234314},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7014994621276855},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.6230201125144958},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6053755879402161},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5977110862731934},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.573498547077179},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.539523720741272},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.47007375955581665},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.41633865237236023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3641674518585205},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3313041925430298},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20688167214393616},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1458195149898529},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08197826147079468}],"concepts":[{"id":"https://openalex.org/C2777317252","wikidata":"https://www.wikidata.org/wiki/Q18393516","display_name":"Rare events","level":2,"score":0.853716254234314},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7014994621276855},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.6230201125144958},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6053755879402161},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5977110862731934},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.573498547077179},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.539523720741272},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.47007375955581665},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.41633865237236023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3641674518585205},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3313041925430298},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20688167214393616},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1458195149898529},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08197826147079468},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tit.2013.2253351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2013.2253351","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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 Information Theory","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.763.3909","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.763.3909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1210.2406.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W191766082","https://openalex.org/W1582150714","https://openalex.org/W1966169187","https://openalex.org/W1976984769","https://openalex.org/W1986806499","https://openalex.org/W1988267360","https://openalex.org/W2001424823","https://openalex.org/W2012037220","https://openalex.org/W2030949386","https://openalex.org/W2083823214","https://openalex.org/W2084896955","https://openalex.org/W2089024057","https://openalex.org/W2094472576","https://openalex.org/W2105563843","https://openalex.org/W2110253667","https://openalex.org/W2110769522","https://openalex.org/W2120718030","https://openalex.org/W2122456939","https://openalex.org/W2128274947","https://openalex.org/W2128922623","https://openalex.org/W2130199634","https://openalex.org/W2131389289","https://openalex.org/W2132708489","https://openalex.org/W2133264613","https://openalex.org/W2138820382","https://openalex.org/W2142851111","https://openalex.org/W2149316707","https://openalex.org/W2153303172","https://openalex.org/W2155819449","https://openalex.org/W2156540265","https://openalex.org/W2157861429","https://openalex.org/W2166205892","https://openalex.org/W2167770337","https://openalex.org/W2169319284","https://openalex.org/W2318245334","https://openalex.org/W2963917966","https://openalex.org/W2972424502","https://openalex.org/W3105074488","https://openalex.org/W4230704549","https://openalex.org/W4300546246","https://openalex.org/W6607835384","https://openalex.org/W6675777979","https://openalex.org/W6680839590","https://openalex.org/W6683281640"],"related_works":["https://openalex.org/W1619455259","https://openalex.org/W4388734940","https://openalex.org/W2012531322","https://openalex.org/W2785900585","https://openalex.org/W2353730437","https://openalex.org/W2490303674","https://openalex.org/W2609066826","https://openalex.org/W2810752900","https://openalex.org/W2365677836","https://openalex.org/W2531295127"],"abstract_inverted_index":{"Rare":[0],"events":[1,26,42,66],"can":[2],"potentially":[3],"occur":[4],"in":[5,45],"many":[6],"applications.":[7],"When":[8],"manifested":[9],"as":[10,77],"opportunities":[11],"to":[12,16,22,32,113],"be":[13,17,23],"exploited,":[14],"risks":[15],"ameliorated,":[18],"or":[19],"certain":[20],"features":[21],"extracted,":[24],"such":[25,65],"become":[27],"of":[28,49,87,105,127],"paramount":[29],"significance.":[30],"Due":[31],"their":[33],"sporadic":[34],"nature,":[35],"the":[36,99,103,106,110,114,125],"information-bearing":[37],"signals":[38,51,123,129],"associated":[39],"with":[40,124,130],"rare":[41,115,131],"often":[43],"lie":[44],"a":[46,60,91],"large":[47],"set":[48],"irrelevant":[50],"and":[52,75,96,133],"are":[53],"not":[54],"easily":[55],"accessible.":[56],"This":[57],"paper":[58],"provides":[59],"statistical":[61],"framework":[62,89],"for":[63],"detecting":[64,128],"so":[67],"that":[68,94,108],"an":[69],"optimal":[70],"balance":[71],"between":[72],"detection":[73],"reliability":[74],"agility,":[76],"two":[78],"opposing":[79],"performance":[80],"measures,":[81],"is":[82,90,119],"established.":[83],"The":[84],"core":[85],"component":[86],"this":[88],"sampling":[92],"procedure":[93],"adaptively":[95],"quickly":[97],"focuses":[98],"information-gathering":[100],"resources":[101],"on":[102,121],"segments":[104],"dataset":[107],"bear":[109],"information":[111],"pertinent":[112],"events.":[116],"Particular":[117],"focus":[118],"placed":[120],"Gaussian":[122],"aim":[126],"mean":[132],"variance":[134],"values.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
