{"id":"https://openalex.org/W3080342357","doi":"https://doi.org/10.1145/3394486.3403354","title":"Fraud Transactions Detection via Behavior Tree with Local Intention Calibration","display_name":"Fraud Transactions Detection via Behavior Tree with Local Intention Calibration","publication_year":2020,"publication_date":"2020-08-20","ids":{"openalex":"https://openalex.org/W3080342357","doi":"https://doi.org/10.1145/3394486.3403354","mag":"3080342357"},"language":"en","primary_location":{"id":"doi:10.1145/3394486.3403354","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394486.3403354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","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/A5077675371","display_name":"Can Liu","orcid":"https://orcid.org/0000-0003-3267-3317"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Can Liu","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005667980","display_name":"Qiwei Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiwei Zhong","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068007462","display_name":"Xiang Ao","orcid":"https://orcid.org/0000-0001-9633-8361"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Ao","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318682","display_name":"Li Sun","orcid":"https://orcid.org/0000-0002-9471-0235"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Sun","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014107430","display_name":"Wangli Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangli Lin","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012138678","display_name":"Jinghua Feng","orcid":"https://orcid.org/0000-0001-7289-5497"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghua Feng","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100734672","display_name":"Qing He","orcid":"https://orcid.org/0000-0001-8833-5398"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing He","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113820036","display_name":"Jiayu Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayu Tang","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5077675371"],"corresponding_institution_ids":["https://openalex.org/I45928872"],"apc_list":null,"apc_paid":null,"fwci":5.1698,"has_fulltext":false,"cited_by_count":65,"citation_normalized_percentile":{"value":0.96229629,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3035","last_page":"3043"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9994000196456909,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9994000196456909,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9990000128746033,"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/T12519","display_name":"Cybercrime and Law Enforcement Studies","score":0.9916999936103821,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8544906973838806},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8202677965164185},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.7961597442626953},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4683961868286133},{"id":"https://openalex.org/keywords/decision-tree-model","display_name":"Decision tree model","score":0.46661630272865295},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46477869153022766},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.45561274886131287},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4301464259624481},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42401179671287537},{"id":"https://openalex.org/keywords/behavioral-pattern","display_name":"Behavioral pattern","score":0.4180905222892761},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4026448726654053},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15711700916290283},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.08113515377044678}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8544906973838806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8202677965164185},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.7961597442626953},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4683961868286133},{"id":"https://openalex.org/C56289965","wikidata":"https://www.wikidata.org/wiki/Q5249246","display_name":"Decision tree model","level":3,"score":0.46661630272865295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46477869153022766},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.45561274886131287},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4301464259624481},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42401179671287537},{"id":"https://openalex.org/C83804111","wikidata":"https://www.wikidata.org/wiki/Q1063558","display_name":"Behavioral pattern","level":2,"score":0.4180905222892761},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4026448726654053},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15711700916290283},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.08113515377044678},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3394486.3403354","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394486.3403354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7799999713897705,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1525412602","https://openalex.org/W1832693441","https://openalex.org/W1924770834","https://openalex.org/W1978223003","https://openalex.org/W2045049630","https://openalex.org/W2064675550","https://openalex.org/W2104246439","https://openalex.org/W2121547000","https://openalex.org/W2131774270","https://openalex.org/W2191253925","https://openalex.org/W2525596522","https://openalex.org/W2616017992","https://openalex.org/W2768284362","https://openalex.org/W2786577118","https://openalex.org/W2788448301","https://openalex.org/W2808227867","https://openalex.org/W2890165066","https://openalex.org/W2898268271","https://openalex.org/W2911239483","https://openalex.org/W2963196945","https://openalex.org/W2963241825","https://openalex.org/W2963403868","https://openalex.org/W2963523189","https://openalex.org/W2963661253","https://openalex.org/W2964121744","https://openalex.org/W2964167098","https://openalex.org/W2970971581","https://openalex.org/W3012901223"],"related_works":["https://openalex.org/W4293151273","https://openalex.org/W4380629648","https://openalex.org/W3214885503","https://openalex.org/W4385640509","https://openalex.org/W4313906440","https://openalex.org/W2389814391","https://openalex.org/W3004292714","https://openalex.org/W3200192427","https://openalex.org/W4381745612","https://openalex.org/W2087668131"],"abstract_inverted_index":{"Fraud":[0],"transactions":[1,135],"obtain":[2],"the":[3,16,20,90,113,130,141,158,168,178,191],"rights":[4],"and":[5,13,37,69,172,190,205],"interests":[6],"of":[7,23,46,98,180,187],"e-commerce":[8],"platforms":[9],"by":[10,147,161],"illegal":[11],"ways,":[12],"have":[14,54],"been":[15],"emerging":[17],"threats":[18],"to":[19,33,88,128,166],"healthy":[21],"development":[22],"these":[24,72],"platforms.":[25],"Recently,":[26],"user":[27,52,59,91,105,143,174,219],"behavioral":[28,92],"data":[29],"is":[30,39,145],"extensively":[31],"exploited":[32],"detect":[34],"fraud":[35,134],"transactions,":[36],"it":[38],"usually":[40],"processed":[41],"as":[42,109],"a":[43,63,82,96,103,110,118,184],"sequence":[44],"consisting":[45],"individual":[47],"actions.":[48],"However,":[49],"such":[50],"sequence-like":[51],"behaviors":[53],"logical":[55],"patterns":[56],"associated":[57],"with":[58],"intentions,":[60],"which":[61,95,214],"motivates":[62],"fine-grained":[64],"management":[65],"strategy":[66],"that":[67,195],"binds":[68],"cuts":[70],"off":[71],"actions":[73,101],"into":[74],"intention-related":[75],"segments.":[76],"In":[77,137],"this":[78],"paper,":[79],"we":[80,156],"devise":[81],"tree-like":[83],"structure":[84],"named":[85],"behavior":[86,131],"tree":[87,132,160,164],"reorganize":[89],"data,":[93],"in":[94,202],"group":[97],"successive":[99],"sequential":[100],"denoting":[102],"specific":[104],"intention":[106,144],"are":[107],"represented":[108],"branch":[111],"on":[112,152,183],"tree.":[114],"We":[115,176],"then":[116],"propose":[117],"novel":[119],"neural":[120],"method":[121,150],"coined":[122],"LIC":[123,139,181],"Tree-LSTM(Local":[124],"Intention":[125],"Calibrated":[126],"Tree-LSTM)":[127],"utilize":[129],"for":[133],"detection.":[136],"our":[138,196,209],"Tree-LSTM,":[140],"global":[142,171],"captured":[146],"an":[148],"attentional":[149],"applied":[151],"different":[153],"branches.":[154],"Then,":[155],"calibrate":[157],"entire":[159],"attentions":[162],"within":[163],"branches":[165],"pinpoint":[167],"balance":[169],"between":[170],"local":[173],"intentions.":[175],"investigate":[177],"effectiveness":[179],"Tree-LSTM":[182],"real-world":[185],"dataset":[186],"Alibaba":[188],"platform,":[189],"experimental":[192],"results":[193],"show":[194],"proposed":[197],"algorithm":[198],"outperforms":[199],"state-of-the-art":[200],"methods":[201],"both":[203],"offline":[204],"online":[206],"modes.":[207],"Furthermore,":[208],"model":[210],"provides":[211],"good":[212],"interpretability":[213],"helps":[215],"us":[216],"better":[217],"understand":[218],"behaviors.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":2}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}
