{"id":"https://openalex.org/W4206811075","doi":"https://doi.org/10.1109/icct52962.2021.9657960","title":"Utilizing Link Prediction Approach to Predict Express-Related Counterfeit Cigarette Crime Cases","display_name":"Utilizing Link Prediction Approach to Predict Express-Related Counterfeit Cigarette Crime Cases","publication_year":2021,"publication_date":"2021-10-13","ids":{"openalex":"https://openalex.org/W4206811075","doi":"https://doi.org/10.1109/icct52962.2021.9657960"},"language":"en","primary_location":{"id":"doi:10.1109/icct52962.2021.9657960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct52962.2021.9657960","pdf_url":null,"source":{"id":"https://openalex.org/S4363607878","display_name":"2021 IEEE 21st International Conference on Communication Technology (ICCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 21st International Conference on Communication Technology (ICCT)","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/A5088231065","display_name":"Lang-chao Qiao","orcid":"https://orcid.org/0000-0003-0607-3131"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lang-Chao Qiao","raw_affiliation_strings":["Shaanxi Branch of China National Tobacco Corporation,Division of Monopoly Administration,Xi&#x2019; an,China","an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Branch of China National Tobacco Corporation,Division of Monopoly Administration,Xi&#x2019; an,China","institution_ids":["https://openalex.org/I2800556661"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000967055","display_name":"Jinlu Wang","orcid":"https://orcid.org/0000-0003-4461-8323"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin-Lu Wang","raw_affiliation_strings":["Shaanxi Branch of China National Tobacco Corporation,Division of Monopoly Administration,Xi&#x2019; an,China","an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Branch of China National Tobacco Corporation,Division of Monopoly Administration,Xi&#x2019; an,China","institution_ids":["https://openalex.org/I2800556661"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023995928","display_name":"Bao-hong Gao","orcid":"https://orcid.org/0000-0002-1588-0704"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bao-Hong Gao","raw_affiliation_strings":["Shaanxi Branch of China National Tobacco Corporation,Division of Monopoly Administration,Xi&#x2019; an,China","an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Branch of China National Tobacco Corporation,Division of Monopoly Administration,Xi&#x2019; an,China","institution_ids":["https://openalex.org/I2800556661"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101118474","display_name":"Xingang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin-Gang Yang","raw_affiliation_strings":["Shaanxi Branch of China National Tobacco Corporation,Division of Monopoly Administration,Xi&#x2019; an,China","an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Branch of China National Tobacco Corporation,Division of Monopoly Administration,Xi&#x2019; an,China","institution_ids":["https://openalex.org/I2800556661"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002197723","display_name":"Wentao Feng","orcid":"https://orcid.org/0000-0001-9737-3505"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen-Tao Feng","raw_affiliation_strings":["Shaanxi Branch of China National Tobacco Corporation,Division of Monopoly Administration,Xi&#x2019; an,China","an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Branch of China National Tobacco Corporation,Division of Monopoly Administration,Xi&#x2019; an,China","institution_ids":["https://openalex.org/I2800556661"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102441212","display_name":"Yu-Xiao Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I159011437","display_name":"United States Government Accountability Office","ror":"https://ror.org/02vawy993","country_code":"US","type":"government","lineage":["https://openalex.org/I159011437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu-Xiao Zhang","raw_affiliation_strings":["Gaoxin District Branch Xi&#x2019; an Tobacco Monopoly Administration,Xi&#x2019; an,China","Gaoxin District Branch Xi&#x2019","an, China"],"affiliations":[{"raw_affiliation_string":"Gaoxin District Branch Xi&#x2019; an Tobacco Monopoly Administration,Xi&#x2019; an,China","institution_ids":[]},{"raw_affiliation_string":"Gaoxin District Branch Xi&#x2019","institution_ids":["https://openalex.org/I159011437"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101437815","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0002-2710-3443"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["School of Computer Science and Technology Xi&#x0027;an University of Posts and Telecommunications,Xi&#x2019; an,China","an University of Posts and Telecommunications, Xi&#x2019","an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology Xi&#x0027;an University of Posts and Telecommunications,Xi&#x2019; an,China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"an University of Posts and Telecommunications, Xi&#x2019","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074234673","display_name":"Rong-Yao Xu","orcid":"https://orcid.org/0000-0003-4666-6580"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong-Yao Xu","raw_affiliation_strings":["School of Computer Science and Technology Xi&#x0027;an University of Posts and Telecommunications,Xi&#x2019; an,China","an, China","an University of Posts and Telecommunications, Xi&#x2019"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology Xi&#x0027;an University of Posts and Telecommunications,Xi&#x2019; an,China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"an, China","institution_ids":[]},{"raw_affiliation_string":"an University of Posts and Telecommunications, Xi&#x2019","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5088231065"],"corresponding_institution_ids":["https://openalex.org/I2800556661"],"apc_list":null,"apc_paid":null,"fwci":0.377,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61721817,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"53","issue":null,"first_page":"328","last_page":"332"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.98580002784729,"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":0.98580002784729,"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/T12519","display_name":"Cybercrime and Law Enforcement Studies","score":0.9692000150680542,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.968999981880188,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7994574308395386},{"id":"https://openalex.org/keywords/counterfeit","display_name":"Counterfeit","score":0.7804654836654663},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7423794269561768},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5628143548965454},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5298435688018799},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4794943928718567},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.47377777099609375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36014416813850403},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3532373309135437},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34144097566604614},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16631466150283813}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7994574308395386},{"id":"https://openalex.org/C2779356469","wikidata":"https://www.wikidata.org/wiki/Q502918","display_name":"Counterfeit","level":2,"score":0.7804654836654663},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7423794269561768},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5628143548965454},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5298435688018799},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4794943928718567},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.47377777099609375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36014416813850403},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3532373309135437},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34144097566604614},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16631466150283813},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icct52962.2021.9657960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct52962.2021.9657960","pdf_url":null,"source":{"id":"https://openalex.org/S4363607878","display_name":"2021 IEEE 21st International Conference on Communication Technology (ICCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 21st International Conference on Communication Technology (ICCT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2131466215","https://openalex.org/W2765762244","https://openalex.org/W2784136636","https://openalex.org/W2802508687","https://openalex.org/W2906246062","https://openalex.org/W2919115771","https://openalex.org/W2983642453","https://openalex.org/W3019283372","https://openalex.org/W3175872701","https://openalex.org/W6679756184","https://openalex.org/W6769575520"],"related_works":["https://openalex.org/W3191226418","https://openalex.org/W2357749344","https://openalex.org/W4323356230","https://openalex.org/W2362200800","https://openalex.org/W1539823648","https://openalex.org/W4290078996","https://openalex.org/W3113783116","https://openalex.org/W4372352523","https://openalex.org/W1579156572","https://openalex.org/W4233184255"],"abstract_inverted_index":{"In":[0,23],"this":[1,104],"paper,":[2],"an":[3],"approach":[4,15],"for":[5],"express-related":[6],"counterfeit":[7,122],"cigarette":[8],"criminality":[9],"analysis":[10],"based":[11,61,102],"on":[12,62,91,103],"link":[13],"prediction":[14],"and":[16,31,47,65,112,130],"historical":[17,97],"express":[18,42,52,98],"big":[19,99],"data":[20,27,29,32,53],"is":[21],"proposed.":[22],"the":[24,40,107,116,135],"pre-processing":[25],"stage,":[26],"integration,":[28],"cleaning":[30],"structured":[33],"processing":[34],"methods":[35],"are":[36,54],"utilized":[37],"to":[38,114],"process":[39],"original":[41],"data.":[43,100],"Then":[44],"time":[45,78,83],"series":[46,79],"graph":[48,94],"topological":[49],"features":[50],"of":[51,71,118,134],"computed.":[55],"The":[56,86],"former":[57],"can":[58,74,88],"be":[59,75,89],"computed":[60],"package":[63,120],"delivery":[64],"receiving":[66],"frequency":[67],"during":[68],"a":[69,92,119],"period":[70],"time,":[72],"which":[73],"regarded":[76],"as":[77],"data,":[80],"by":[81],"using":[82],"domain":[84],"statistics.":[85],"latter":[87],"calculated":[90],"directed":[93],"built":[95],"with":[96],"Next,":[101],"feature":[105],"pool,":[106],"classifier":[108],"model":[109],"was":[110],"trained":[111],"optimized":[113],"predict":[115],"probability":[117],"containing":[121],"cigarettes.":[123],"Preliminary":[124],"experimental":[125],"results":[126],"demonstrate":[127],"feasibility,":[128],"effectiveness":[129],"encouraging":[131],"discriminative":[132],"power":[133],"proposed":[136],"approach.":[137]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
