{"id":"https://openalex.org/W2995696259","doi":"https://doi.org/10.1145/3371425.3371458","title":"Detection of test cheating by outlier analysis approach using probability estimation","display_name":"Detection of test cheating by outlier analysis approach using probability estimation","publication_year":2019,"publication_date":"2019-12-10","ids":{"openalex":"https://openalex.org/W2995696259","doi":"https://doi.org/10.1145/3371425.3371458","mag":"2995696259"},"language":"en","primary_location":{"id":"doi:10.1145/3371425.3371458","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3371425.3371458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing","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/A5031739565","display_name":"Licheng Li","orcid":"https://orcid.org/0000-0003-0322-6403"},"institutions":[{"id":"https://openalex.org/I1302611135","display_name":"Ministry of Public Security of the People's Republic of China","ror":"https://ror.org/00bt9we26","country_code":"CN","type":"government","lineage":["https://openalex.org/I1302611135"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Li","raw_affiliation_strings":["Institute of the Ministry of Public Security, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of the Ministry of Public Security, Wuxi, China","institution_ids":["https://openalex.org/I1302611135"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064885355","display_name":"Chenlu Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I1302611135","display_name":"Ministry of Public Security of the People's Republic of China","ror":"https://ror.org/00bt9we26","country_code":"CN","type":"government","lineage":["https://openalex.org/I1302611135"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenlu Qiu","raw_affiliation_strings":["Institute of the Ministry of Public Security, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of the Ministry of Public Security, Wuxi, China","institution_ids":["https://openalex.org/I1302611135"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061378025","display_name":"Aifen Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I1302611135","display_name":"Ministry of Public Security of the People's Republic of China","ror":"https://ror.org/00bt9we26","country_code":"CN","type":"government","lineage":["https://openalex.org/I1302611135"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aifen Fang","raw_affiliation_strings":["Institute of the Ministry of Public Security, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of the Ministry of Public Security, Wuxi, China","institution_ids":["https://openalex.org/I1302611135"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1302611135"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16737245,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"99","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9966999888420105,"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":0.9966999888420105,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9950000047683716,"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/T10370","display_name":"Traffic and Road Safety","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/cheating","display_name":"Cheating","score":0.8853875398635864},{"id":"https://openalex.org/keywords/license","display_name":"License","score":0.7351561784744263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6937931180000305},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6742649674415588},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6662877202033997},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.5824770927429199},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5718331336975098},{"id":"https://openalex.org/keywords/public-security","display_name":"Public security","score":0.5313912630081177},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5121643543243408},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.49927735328674316},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.42085641622543335},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36311233043670654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29750263690948486}],"concepts":[{"id":"https://openalex.org/C2778024590","wikidata":"https://www.wikidata.org/wiki/Q2357432","display_name":"Cheating","level":2,"score":0.8853875398635864},{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.7351561784744263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6937931180000305},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6742649674415588},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6662877202033997},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.5824770927429199},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5718331336975098},{"id":"https://openalex.org/C2986045029","wikidata":"https://www.wikidata.org/wiki/Q294240","display_name":"Public security","level":2,"score":0.5313912630081177},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5121643543243408},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.49927735328674316},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.42085641622543335},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36311233043670654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29750263690948486},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C3116431","wikidata":"https://www.wikidata.org/wiki/Q31728","display_name":"Public administration","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3371425.3371458","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3371425.3371458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W48673956","https://openalex.org/W611628467","https://openalex.org/W616291621","https://openalex.org/W1552339598","https://openalex.org/W1556344493","https://openalex.org/W1592237688","https://openalex.org/W2035006576","https://openalex.org/W2070018436","https://openalex.org/W2074797032","https://openalex.org/W2085083905","https://openalex.org/W2157509113","https://openalex.org/W2189465200"],"related_works":["https://openalex.org/W2012288173","https://openalex.org/W1968538666","https://openalex.org/W2097662580","https://openalex.org/W3199302685","https://openalex.org/W2344072770","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729"],"abstract_inverted_index":{"With":[0,72],"the":[1,7,73,130],"rapid":[2],"growth":[3],"of":[4,9,21,48,56,62,75,91,94,120,132],"traffic":[5,51,69,92],"demand,":[6],"number":[8],"drivers":[10],"and":[11,50,54,68],"motor":[12],"vehicle":[13],"ownership":[14],"is":[15,25,59,103,127],"growing":[16],"rapidly,":[17],"but":[18],"a":[19,27,34,40,111],"prerequisite":[20],"driving":[22,30,35,49],"in":[23,87],"China":[24],"holding":[26],"valid":[28],"Chinese":[29],"license.":[31],"To":[32],"obtain":[33],"license,":[36],"applicant":[37],"must":[38],"take":[39],"computerized":[41],"theory":[42],"test":[43,82],"which":[44],"tests":[45],"applicant's":[46],"knowledge":[47],"regulations.":[52],"Detection":[53],"supervision":[55],"exam":[57,100],"cheating":[58,101],"an":[60,106],"issue":[61],"great":[63],"importance":[64],"for":[65],"road":[66],"safety":[67],"accident":[70],"prevention.":[71],"development":[74],"information":[76],"techniques,":[77],"massive":[78],"data":[79],"recording":[80],"applications'":[81],"process":[83],"has":[84],"been":[85],"accumulated":[86],"integrated":[88],"application":[89],"platform":[90],"management":[93],"public":[95],"security.":[96],"In":[97],"this":[98],"work,":[99],"detection":[102,108],"modeled":[104],"as":[105],"outlier":[107],"problem,":[109],"proposing":[110],"novel":[112],"probabilistic":[113],"method":[114],"to":[115],"estimate":[116],"examination":[117],"venues'":[118],"degree":[119],"outlier-ness.":[121],"Experimental":[122],"result":[123],"on":[124],"real":[125],"dataset":[126],"given,":[128],"demonstrating":[129],"effectiveness":[131],"our":[133],"proposed":[134],"method.":[135]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}