{"id":"https://openalex.org/W2945734421","doi":"https://doi.org/10.1145/3318299.3318356","title":"Research on the Periodical Behavior Discovery of Funds in Anti-money Laundering Investigation","display_name":"Research on the Periodical Behavior Discovery of Funds in Anti-money Laundering Investigation","publication_year":2019,"publication_date":"2019-02-22","ids":{"openalex":"https://openalex.org/W2945734421","doi":"https://doi.org/10.1145/3318299.3318356","mag":"2945734421"},"language":"en","primary_location":{"id":"doi:10.1145/3318299.3318356","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318299.3318356","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 11th International Conference on Machine Learning and Computing","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/A5102328216","display_name":"Shiliang He","orcid":null},"institutions":[{"id":"https://openalex.org/I158934434","display_name":"Zhongnan University of Economics and Law","ror":"https://ror.org/04yqxxq63","country_code":"CN","type":"education","lineage":["https://openalex.org/I158934434"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiliang He","raw_affiliation_strings":["Institute of Information and Safety Engineering, ZhongNan University of Economics and Law Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information and Safety Engineering, ZhongNan University of Economics and Law Wuhan, China","institution_ids":["https://openalex.org/I158934434"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019872925","display_name":"Zhenxin Qu","orcid":null},"institutions":[{"id":"https://openalex.org/I158934434","display_name":"Zhongnan University of Economics and Law","ror":"https://ror.org/04yqxxq63","country_code":"CN","type":"education","lineage":["https://openalex.org/I158934434"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenxin Qu","raw_affiliation_strings":["Institute of Information and Safety Engineering, ZhongNan University of Economics and Law Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information and Safety Engineering, ZhongNan University of Economics and Law Wuhan, China","institution_ids":["https://openalex.org/I158934434"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07749089,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"516","last_page":"520"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11838","display_name":"Crime, Illicit Activities, and Governance","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11838","display_name":"Crime, Illicit Activities, and Governance","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11705","display_name":"Gambling Behavior and Treatments","score":0.9682999849319458,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.944100022315979,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/money-laundering","display_name":"Money laundering","score":0.8570117950439453},{"id":"https://openalex.org/keywords/subsequence","display_name":"Subsequence","score":0.7517940998077393},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.6688669323921204},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6288052797317505},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6059468388557434},{"id":"https://openalex.org/keywords/transaction-data","display_name":"Transaction data","score":0.47851431369781494},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.4752618670463562},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4131208062171936},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41213059425354004},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.1811613142490387},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.17794319987297058},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16944950819015503},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1564408838748932}],"concepts":[{"id":"https://openalex.org/C2780005421","wikidata":"https://www.wikidata.org/wiki/Q151900","display_name":"Money laundering","level":2,"score":0.8570117950439453},{"id":"https://openalex.org/C137877099","wikidata":"https://www.wikidata.org/wiki/Q1332977","display_name":"Subsequence","level":3,"score":0.7517940998077393},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.6688669323921204},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6288052797317505},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6059468388557434},{"id":"https://openalex.org/C127722929","wikidata":"https://www.wikidata.org/wiki/Q7833714","display_name":"Transaction data","level":3,"score":0.47851431369781494},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.4752618670463562},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4131208062171936},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41213059425354004},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.1811613142490387},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.17794319987297058},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16944950819015503},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1564408838748932},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3318299.3318356","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318299.3318356","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 11th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310114","display_name":"Zhongnan University of Economics and Law","ror":"https://ror.org/04yqxxq63"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W27994497","https://openalex.org/W180183775","https://openalex.org/W1493210464","https://openalex.org/W1525834213","https://openalex.org/W2083603564","https://openalex.org/W2085660650","https://openalex.org/W2090667601","https://openalex.org/W2090722357","https://openalex.org/W2096041903","https://openalex.org/W2115826098","https://openalex.org/W2126884435","https://openalex.org/W2148500771","https://openalex.org/W2170344111","https://openalex.org/W2361567335"],"related_works":["https://openalex.org/W2989589039","https://openalex.org/W2780247929","https://openalex.org/W3108131348","https://openalex.org/W2000646855","https://openalex.org/W4213307675","https://openalex.org/W3005442585","https://openalex.org/W2035952186","https://openalex.org/W2136233809","https://openalex.org/W3095070775","https://openalex.org/W178750188"],"abstract_inverted_index":{"Some":[0],"money":[1,60],"laundering":[2,61],"activities":[3],"had":[4],"periodic":[5,36,79],"fund":[6],"transfer":[7],"behaviors,":[8],"and":[9,33,47,86,103],"discovering":[10],"these":[11],"cyclical":[12],"behaviors":[13],"was":[14],"conducive":[15],"to":[16,52,112],"narrowing":[17],"the":[18,25,39,43,49,54,57,71,76,88,108],"scope":[19],"of":[20,56],"investigation.":[21],"This":[22],"paper":[23],"treated":[24],"capital":[26],"transaction":[27],"data":[28,94,106],"as":[29],"a":[30],"time":[31,40],"series":[32,41],"found":[34],"each":[35],"subsequence":[37],"in":[38],"through":[42],"sub-period":[44,73],"discovery":[45,74],"algorithm,":[46,75],"designed":[48],"tolerance":[50],"index":[51],"improve":[53],"robustness":[55],"algorithm.":[58],"In":[59],"activities,":[62],"there":[63],"maight":[64],"be":[65,113],"linkage":[66],"between":[67,81],"related":[68],"accounts.":[69],"Through":[70],"relevant":[72],"highly":[77],"correlated":[78],"behavior":[80],"different":[82],"accounts":[83,90],"were":[84,91],"found,":[85],"then":[87],"suspicious":[89],"found.":[92],"A":[93],"set":[95],"based":[96],"on":[97,104],"police":[98],"investigation":[99],"experience":[100],"is":[101,110],"constructed,":[102],"this":[105],"set,":[107],"algorithm":[109],"validated":[111],"effective.":[114]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}