{"id":"https://openalex.org/W2750332094","doi":"https://doi.org/10.1109/tkde.2017.2744619","title":"Feature Grouping-Based Outlier Detection Upon Streaming Trajectories","display_name":"Feature Grouping-Based Outlier Detection Upon Streaming Trajectories","publication_year":2017,"publication_date":"2017-08-25","ids":{"openalex":"https://openalex.org/W2750332094","doi":"https://doi.org/10.1109/tkde.2017.2744619","mag":"2750332094"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2017.2744619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2017.2744619","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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/A5087408512","display_name":"Jiali Mao","orcid":"https://orcid.org/0000-0002-7235-2326"},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiali Mao","raw_affiliation_strings":["School of Computing, China West Normal University, Nanchong, Sichuan, China","School of Data Science and Engineering, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7235-2326","affiliations":[{"raw_affiliation_string":"School of Computing, China West Normal University, Nanchong, Sichuan, China","institution_ids":["https://openalex.org/I16351329"]},{"raw_affiliation_string":"School of Data Science and Engineering, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453495","display_name":"Tao Wang","orcid":"https://orcid.org/0000-0002-2480-878X"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["School of Computer Science and Software Engineering, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100768380","display_name":"Cheqing Jin","orcid":"https://orcid.org/0000-0002-9381-9175"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheqing Jin","raw_affiliation_strings":["School of Data Science and Engineering, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data Science and Engineering, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101511862","display_name":"Aoying Zhou","orcid":"https://orcid.org/0000-0002-4665-7302"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aoying Zhou","raw_affiliation_strings":["School of Data Science and Engineering, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data Science and Engineering, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087408512"],"corresponding_institution_ids":["https://openalex.org/I16351329","https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":4.9885,"has_fulltext":false,"cited_by_count":65,"citation_normalized_percentile":{"value":0.96174854,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"29","issue":"12","first_page":"2696","last_page":"2709"},"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":0.9937999844551086,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8733999133110046},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.8693591952323914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7202802300453186},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.702980637550354},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6640815734863281},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6480557918548584},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5912247896194458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5694271326065063},{"id":"https://openalex.org/keywords/skewness","display_name":"Skewness","score":0.4952220022678375},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4889737367630005},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4116986095905304},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23987409472465515},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19966450333595276},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.093716561794281}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8733999133110046},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8693591952323914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7202802300453186},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.702980637550354},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6640815734863281},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6480557918548584},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5912247896194458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5694271326065063},{"id":"https://openalex.org/C122342681","wikidata":"https://www.wikidata.org/wiki/Q330828","display_name":"Skewness","level":2,"score":0.4952220022678375},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4889737367630005},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4116986095905304},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23987409472465515},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19966450333595276},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.093716561794281},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2017.2744619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2017.2744619","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1003210174","display_name":null,"funder_award_id":"17YC158","funder_id":"https://openalex.org/F4320324420","funder_display_name":"China West Normal University"},{"id":"https://openalex.org/G2842169255","display_name":null,"funder_award_id":"61402180","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3704501742","display_name":null,"funder_award_id":"61532021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3770771634","display_name":null,"funder_award_id":"61370101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4044104431","display_name":null,"funder_award_id":"U1401256","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G621646075","display_name":null,"funder_award_id":"17ZA0381","funder_id":"https://openalex.org/F4320322970","funder_display_name":"Education Department of Sichuan Province"},{"id":"https://openalex.org/G6836976647","display_name":null,"funder_award_id":"2016YFB1000905","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8055480217","display_name":null,"funder_award_id":"61702423","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8698608195","display_name":null,"funder_award_id":"U1501252","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322970","display_name":"Education Department of Sichuan Province","ror":"https://ror.org/05s1c4z27"},{"id":"https://openalex.org/F4320324420","display_name":"China West Normal University","ror":"https://ror.org/04s99y476"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W306989095","https://openalex.org/W1465304330","https://openalex.org/W1552339598","https://openalex.org/W1581745374","https://openalex.org/W1592237688","https://openalex.org/W1968701380","https://openalex.org/W1970655212","https://openalex.org/W1973927340","https://openalex.org/W1981398125","https://openalex.org/W1990588199","https://openalex.org/W1999110238","https://openalex.org/W1999205465","https://openalex.org/W1999432478","https://openalex.org/W2046466133","https://openalex.org/W2047348678","https://openalex.org/W2049058890","https://openalex.org/W2057135445","https://openalex.org/W2061240327","https://openalex.org/W2072957930","https://openalex.org/W2084335476","https://openalex.org/W2091770595","https://openalex.org/W2097241863","https://openalex.org/W2098292500","https://openalex.org/W2110413449","https://openalex.org/W2117618130","https://openalex.org/W2129281431","https://openalex.org/W2133123111","https://openalex.org/W2136975357","https://openalex.org/W2138162264","https://openalex.org/W2144182447","https://openalex.org/W2148959739","https://openalex.org/W2160192435","https://openalex.org/W2166370472","https://openalex.org/W2168091011","https://openalex.org/W2168884627","https://openalex.org/W2477483659","https://openalex.org/W2479750684","https://openalex.org/W2503665466","https://openalex.org/W2600841405","https://openalex.org/W2603192734","https://openalex.org/W4230927207","https://openalex.org/W4253461361","https://openalex.org/W4254182148","https://openalex.org/W6628694743","https://openalex.org/W6632829031","https://openalex.org/W6635480988"],"related_works":["https://openalex.org/W2189529952","https://openalex.org/W3122032734","https://openalex.org/W28389960","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W463494080","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W1598471830","https://openalex.org/W3107369729"],"abstract_inverted_index":{"Outlier":[0],"detection":[1,34,38],"acts":[2],"as":[3,19],"one":[4,188],"of":[5,27,51,85,101,129,225],"the":[6,49,52,58,83,108,130,146,152,164,175,180],"most":[7],"important":[8],"analysis":[9],"tasks":[10],"for":[11],"trajectory":[12,44,201,242],"stream.":[13],"In":[14],"stream":[15],"scenarios,":[16],"such":[17],"properties":[18],"unlimitedness,":[20],"time-varying":[21],"evolutionary,":[22],"sparsity,":[23],"and":[24,163,204,216,236],"skewness":[25],"distribution":[26],"trajectories":[28],"pose":[29],"new":[30],"challenges":[31],"to":[32,48,73,81,106,113,117,159,171,179,221,238],"outlier":[33,37,109,196],"technique.":[35],"Trajectory":[36],"techniques":[39],"mainly":[40],"focus":[41],"on":[42,57],"finding":[43],"that":[45,60,90,143,230],"is":[46,55,103,111,157,169,233],"dissimilar":[47],"majority":[50],"others,":[53],"which":[54,110],"based":[56],"hypothesis":[59],"they":[61],"are":[62],"probably":[63],"generated":[64],"by":[65],"a":[66,75,139,213],"different":[67,123],"mechanism.":[68],"Most":[69],"distance-based":[70],"methods":[71],"tend":[72],"utilize":[74],"function":[76],"(e.g.,":[77],"weighted":[78],"linear":[79],"sum)":[80],"measure":[82],"similarity":[84],"two":[86,149,195],"arbitrary":[87],"objects":[88,186],"provided":[89],"representative":[91],"features":[92,147],"have":[93],"been":[94],"extracted":[95],"in":[96,127,187],"advance.":[97],"However,":[98],"this":[99,135],"kind":[100],"method":[102],"not":[104],"tailored":[105],"identify":[107],"close":[112,161],"its":[114,125],"neighbors":[115,126,162],"according":[116],"some":[118],"features,":[119],"but":[120],"behaves":[121],"significantly":[122],"from":[124],"terms":[128],"other":[131],"features.":[132],"To":[133],"address":[134],"issue,":[136],"we":[137,193],"propose":[138],"feature":[140,181],"grouping-based":[141],"mechanism":[142],"divides":[144],"all":[145],"into":[148],"groups,":[150],"where":[151],"first":[153],"group":[154,166],"(Similarity":[155],"Feature)":[156,168],"used":[158,170],"find":[160,172],"second":[165],"(Difference":[167],"outliers":[173,240],"within":[174],"similar":[176],"neighborhood.":[177],"According":[178],"differences":[182],"among":[183],"local":[184,199],"adjacent":[185],"or":[189],"more":[190],"time":[191],"intervals,":[192],"present":[194],"definitions,":[197],"including":[198],"anomaly":[200,206],"fragment":[202],"(TF-outlier)":[203],"evolutionary":[205],"moving":[207],"object":[208],"(MO-outlier":[209],").":[210],"We":[211],"devise":[212],"basic":[214],"solution":[215],"then":[217],"an":[218],"optimized":[219],"algorithm":[220],"detect":[222,239],"both":[223,234],"types":[224],"outliers.":[226],"Experimental":[227],"results":[228],"show":[229],"our":[231],"proposal":[232],"effective":[235],"efficient":[237],"upon":[241],"data":[243],"streams.":[244]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}