{"id":"https://openalex.org/W2783885659","doi":"https://doi.org/10.1109/icdim.2017.8244645","title":"Analysis of criminal behaviors for suspect vehicle detection","display_name":"Analysis of criminal behaviors for suspect vehicle detection","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2783885659","doi":"https://doi.org/10.1109/icdim.2017.8244645","mag":"2783885659"},"language":"en","primary_location":{"id":"doi:10.1109/icdim.2017.8244645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2017.8244645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Twelfth International Conference on Digital Information Management (ICDIM)","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/A5057296442","display_name":"Ubon Thongsatapornwatana","orcid":null},"institutions":[{"id":"https://openalex.org/I4210129478","display_name":"Ministry of Science and Technology Thailand","ror":"https://ror.org/02nfy5246","country_code":"TH","type":"government","lineage":["https://openalex.org/I2801080794","https://openalex.org/I4210129478"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Ubon Thongsatapornwatana","raw_affiliation_strings":["Faculty of Information Science and Technology, Ministry of Defence, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Technology, Ministry of Defence, Bangkok, Thailand","institution_ids":["https://openalex.org/I4210129478"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056980114","display_name":"Woraphon Lilakiatsakun","orcid":null},"institutions":[{"id":"https://openalex.org/I1315830910","display_name":"Ministry of Agriculture and Cooperatives","ror":"https://ror.org/03np0rt96","country_code":"TH","type":"government","lineage":["https://openalex.org/I1315830910"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Woraphon Lilakiatsakun","raw_affiliation_strings":["Department of Fisheries, Ministry of Agriculture and Cooperatives, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Fisheries, Ministry of Agriculture and Cooperatives, Bangkok, Thailand","institution_ids":["https://openalex.org/I1315830910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065833723","display_name":"Akkarach Kawbunjun","orcid":null},"institutions":[{"id":"https://openalex.org/I4322889","display_name":"Mahanakorn University of Technology","ror":"https://ror.org/05qebwp08","country_code":"TH","type":"education","lineage":["https://openalex.org/I4322889"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Akkarach Kawbunjun","raw_affiliation_strings":["Faculty of Information Science and Technology, Mahanakorn University of Technolog, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Technology, Mahanakorn University of Technolog, Bangkok, Thailand","institution_ids":["https://openalex.org/I4322889"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103015102","display_name":"Tossapon Boongoen","orcid":"https://orcid.org/0000-0002-2874-1922"},"institutions":[{"id":"https://openalex.org/I34002243","display_name":"Mae Fah Luang University","ror":"https://ror.org/00mwhaw71","country_code":"TH","type":"education","lineage":["https://openalex.org/I34002243"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Tossapon Boongoen","raw_affiliation_strings":["School of Information Technology Mae, Fah Luang University, Chiang Rai, Thailand"],"affiliations":[{"raw_affiliation_string":"School of Information Technology Mae, Fah Luang University, Chiang Rai, Thailand","institution_ids":["https://openalex.org/I34002243"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5057296442"],"corresponding_institution_ids":["https://openalex.org/I4210129478"],"apc_list":null,"apc_paid":null,"fwci":0.195,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.64838427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"15","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9952999949455261,"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":0.9952999949455261,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/blacklist","display_name":"Blacklist","score":0.9906131029129028},{"id":"https://openalex.org/keywords/suspect","display_name":"Suspect","score":0.97730553150177},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5938223004341125},{"id":"https://openalex.org/keywords/blacklisting","display_name":"Blacklisting","score":0.5874887704849243},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5805854797363281},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4860130250453949},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4468129277229309},{"id":"https://openalex.org/keywords/criminal-investigation","display_name":"Criminal investigation","score":0.4282373785972595},{"id":"https://openalex.org/keywords/criminology","display_name":"Criminology","score":0.3034668564796448},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08212879300117493},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07952800393104553}],"concepts":[{"id":"https://openalex.org/C2781345505","wikidata":"https://www.wikidata.org/wiki/Q2535979","display_name":"Blacklist","level":2,"score":0.9906131029129028},{"id":"https://openalex.org/C2778223634","wikidata":"https://www.wikidata.org/wiki/Q224952","display_name":"Suspect","level":2,"score":0.97730553150177},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5938223004341125},{"id":"https://openalex.org/C2779797433","wikidata":"https://www.wikidata.org/wiki/Q632959","display_name":"Blacklisting","level":2,"score":0.5874887704849243},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5805854797363281},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4860130250453949},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4468129277229309},{"id":"https://openalex.org/C117660856","wikidata":"https://www.wikidata.org/wiki/Q1964968","display_name":"Criminal investigation","level":2,"score":0.4282373785972595},{"id":"https://openalex.org/C73484699","wikidata":"https://www.wikidata.org/wiki/Q161733","display_name":"Criminology","level":1,"score":0.3034668564796448},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08212879300117493},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07952800393104553},{"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:10.1109/icdim.2017.8244645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2017.8244645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Twelfth International Conference on Digital Information Management (ICDIM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320329912","display_name":"Mahanakorn University of Technology","ror":"https://ror.org/05qebwp08"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1514265166","https://openalex.org/W1987856237","https://openalex.org/W1996051714","https://openalex.org/W2024534980","https://openalex.org/W2065674789","https://openalex.org/W2124551295","https://openalex.org/W2126708793","https://openalex.org/W2142917556","https://openalex.org/W2169528473","https://openalex.org/W2183053696","https://openalex.org/W2312653112","https://openalex.org/W2402362120","https://openalex.org/W4250574650","https://openalex.org/W4285719527","https://openalex.org/W6698041136"],"related_works":["https://openalex.org/W2181543702","https://openalex.org/W3172840274","https://openalex.org/W2769847412","https://openalex.org/W2146351192","https://openalex.org/W3037489623","https://openalex.org/W2991976289","https://openalex.org/W4241417517","https://openalex.org/W4379624358","https://openalex.org/W178883471","https://openalex.org/W2783885659"],"abstract_inverted_index":{"The":[0,113],"crime":[1],"problems":[2],"become":[3],"critical":[4],"issues":[5],"for":[6],"national":[7],"security":[8,11],"especially":[9],"the":[10,21,30,43,46,79,82,90,111,121,132,137,146,153,165,169,174,181],"of":[12,38,123],"border":[13],"and":[14,25,69,120],"intelligent":[15],"transportation":[16],"systems":[17],"(ITSs).":[18],"These":[19],"affect":[20],"economy,":[22],"investment,":[23],"tourism,":[24],"society.":[26],"As":[27],"a":[28,141],"result,":[29],"automatic":[31],"suspect":[32,97,133,175],"vehicle":[33,52,58,134],"detection":[34,176],"emerges":[35],"as":[36],"one":[37],"effective":[39,68],"tools":[40],"to":[41,95,157],"tackle":[42],"problems.":[44],"However,":[45],"traditional":[47,182],"process":[48],"normally":[49],"uses":[50],"criminal":[51,91,104,124,160],"data":[53,59,77],"in":[54,78,103],"blacklist":[55,83],"comparing":[56],"with":[57,152],"gathering":[60],"from":[61,74],"various":[62],"sensors.":[63],"This":[64,87],"comparison":[65],"is":[66,84,115],"not":[67,75,85,108],"accurate":[70],"that":[71,99,131,168],"might":[72],"be":[73],"up-to-date":[76],"blacklist.":[80,112],"Sometimes":[81],"available.":[86],"paper":[88],"proposes":[89],"behavior":[92],"analysis":[93,114,149],"method":[94,171],"detect":[96],"vehicles":[98],"are":[100],"potentially":[101],"involved":[102],"activity.":[105],"It":[106],"must":[107],"rely":[109],"on":[110,117],"conditional":[116],"journey":[118,138,147],"path":[119,139,148],"involvement":[122],"activities.":[125],"In":[126],"additional,":[127],"public":[128],"officials":[129],"believe":[130],"will":[135],"choose":[136],"without":[140],"checkpoint.":[142],"Therefore,":[143],"we":[144],"used":[145],"techniques":[150],"together":[151],"association":[154],"rule":[155],"mining":[156],"analyze":[158],"such":[159],"behavior.":[161],"From":[162],"extensive":[163],"experiments,":[164],"results":[166],"show":[167],"proposed":[170],"can":[172],"increase":[173],"accuracy":[177],"rate":[178],"17.24%":[179],"beyond":[180],"counterpart.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
