{"id":"https://openalex.org/W2996938418","doi":"https://doi.org/10.1109/icme46284.2020.9102889","title":"Statistical Detection Of Collective Data Fraud","display_name":"Statistical Detection Of Collective Data Fraud","publication_year":2020,"publication_date":"2020-06-09","ids":{"openalex":"https://openalex.org/W2996938418","doi":"https://doi.org/10.1109/icme46284.2020.9102889","mag":"2996938418"},"language":"en","primary_location":{"id":"doi:10.1109/icme46284.2020.9102889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme46284.2020.9102889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2001.00688","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100653715","display_name":"Ruoyu Wang","orcid":"https://orcid.org/0000-0003-4623-6724"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruoyu Wang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040220717","display_name":"Xiaobo Hu","orcid":"https://orcid.org/0000-0002-0710-4537"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Hu","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008497202","display_name":"Daniel Sun","orcid":"https://orcid.org/0000-0003-2342-7421"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Daniel Sun","raw_affiliation_strings":["University of New South Wales, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354142","display_name":"Guoqiang Li","orcid":"https://orcid.org/0000-0001-9005-7112"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqiang Li","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015158455","display_name":"Raymond K. Wong","orcid":"https://orcid.org/0000-0002-9814-6029"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Raymond Wong","raw_affiliation_strings":["University of New South Wales, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043470959","display_name":"Shiping Chen","orcid":"https://orcid.org/0000-0002-4603-0024"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shiping Chen","raw_affiliation_strings":["Data61, CSIRO, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data61, CSIRO, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079797505","display_name":"Jianquan Liu","orcid":"https://orcid.org/0000-0003-4303-9020"},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jianquan Liu","raw_affiliation_strings":["Biometrics Research Laboratories, NEC Corporation, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biometrics Research Laboratories, NEC Corporation, Japan","institution_ids":["https://openalex.org/I118347220"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"166","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.996999979019165,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.8539708852767944},{"id":"https://openalex.org/keywords/realm","display_name":"Realm","score":0.725425660610199},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6850824356079102},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.6149370074272156},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5385473966598511},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.5002200603485107},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4950024485588074},{"id":"https://openalex.org/keywords/statistical-analysis","display_name":"Statistical analysis","score":0.49026229977607727},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.42451778054237366},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3775274455547333},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17419394850730896},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15616104006767273},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08678528666496277},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07509467005729675}],"concepts":[{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.8539708852767944},{"id":"https://openalex.org/C2778757428","wikidata":"https://www.wikidata.org/wiki/Q1250464","display_name":"Realm","level":2,"score":0.725425660610199},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6850824356079102},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.6149370074272156},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5385473966598511},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.5002200603485107},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4950024485588074},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.49026229977607727},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.42451778054237366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3775274455547333},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17419394850730896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15616104006767273},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08678528666496277},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07509467005729675},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme46284.2020.9102889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme46284.2020.9102889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2001.00688","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.00688","pdf_url":"https://arxiv.org/pdf/2001.00688","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2001.00688","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.00688","pdf_url":"https://arxiv.org/pdf/2001.00688","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.800000011920929,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W14760367","https://openalex.org/W1520274045","https://openalex.org/W1522416449","https://openalex.org/W1569778844","https://openalex.org/W1826290430","https://openalex.org/W2000219982","https://openalex.org/W2013976210","https://openalex.org/W2015172091","https://openalex.org/W2029921999","https://openalex.org/W2073518255","https://openalex.org/W2074613498","https://openalex.org/W2088558690","https://openalex.org/W2098770944","https://openalex.org/W2107160712","https://openalex.org/W2113271473","https://openalex.org/W2122646361","https://openalex.org/W2123967542","https://openalex.org/W2129860818","https://openalex.org/W2137479650","https://openalex.org/W2142162192","https://openalex.org/W2161835057","https://openalex.org/W2442340835","https://openalex.org/W2466530464","https://openalex.org/W2616332741","https://openalex.org/W2616614991","https://openalex.org/W3148595793","https://openalex.org/W6600609758","https://openalex.org/W6631186841","https://openalex.org/W6675086664","https://openalex.org/W6675969807"],"related_works":["https://openalex.org/W2350702655","https://openalex.org/W2319685803","https://openalex.org/W2026012944","https://openalex.org/W4387527746","https://openalex.org/W2359486277","https://openalex.org/W2356483589","https://openalex.org/W2289334277","https://openalex.org/W2785984867","https://openalex.org/W2355334280","https://openalex.org/W3122113541"],"abstract_inverted_index":{"Statistical":[0],"divergence":[1,45,83],"is":[2,39,92],"widely":[3],"applied":[4],"in":[5,16,19,94],"multimedia":[6],"processing,":[7],"basically":[8],"due":[9],"to":[10,84],"regularity":[11],"and":[12,33,78],"interpretable":[13],"features":[14],"displayed":[15],"data.":[17],"However,":[18],"a":[20,35,50,62],"broader":[21],"range":[22],"of":[23],"data":[24,42,76],"realm,":[25],"these":[26],"advantages":[27],"may":[28],"no":[29],"longer":[30],"be":[31,47],"feasible,":[32],"therefore":[34],"more":[36],"general":[37],"approach":[38],"required.":[40],"In":[41,57],"detection,":[43],"statistical":[44,68,82],"can":[46],"used":[48],"as":[49],"similarity":[51],"measurement":[52],"based":[53,66],"on":[54,67],"collective":[55,63,86],"features.":[56],"this":[58],"paper,":[59],"we":[60],"present":[61],"detection":[64],"technique":[65,71],"divergence.":[69],"The":[70],"extracts":[72],"distribution":[73],"similarities":[74],"among":[75],"collections,":[77],"then":[79],"uses":[80],"the":[81,95],"detect":[85],"anomalies.":[87],"Evaluation":[88],"shows":[89],"that":[90],"it":[91],"applicable":[93],"real":[96],"world.":[97]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
