{"id":"https://openalex.org/W3151964976","doi":"https://doi.org/10.1109/cist49399.2021.9357066","title":"Rules Extraction and Deep Learning for e-Commerce Fraud Detection","display_name":"Rules Extraction and Deep Learning for e-Commerce Fraud Detection","publication_year":2020,"publication_date":"2020-06-05","ids":{"openalex":"https://openalex.org/W3151964976","doi":"https://doi.org/10.1109/cist49399.2021.9357066","mag":"3151964976"},"language":"en","primary_location":{"id":"doi:10.1109/cist49399.2021.9357066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cist49399.2021.9357066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 6th IEEE Congress on Information Science and Technology (CiSt)","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/A5078436392","display_name":"Bekach Youssef","orcid":null},"institutions":[{"id":"https://openalex.org/I81605866","display_name":"Sidi Mohamed Ben Abdellah University","ror":"https://ror.org/04efg9a07","country_code":"MA","type":"education","lineage":["https://openalex.org/I81605866"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Bekach Youssef","raw_affiliation_strings":["University Sidi Mohammed Ben Abdellah, Fes, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Sidi Mohammed Ben Abdellah, Fes, Morocco","institution_ids":["https://openalex.org/I81605866"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015335959","display_name":"Bouchra Frikh","orcid":"https://orcid.org/0000-0002-9711-0841"},"institutions":[{"id":"https://openalex.org/I81605866","display_name":"Sidi Mohamed Ben Abdellah University","ror":"https://ror.org/04efg9a07","country_code":"MA","type":"education","lineage":["https://openalex.org/I81605866"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Frikh Bouchra","raw_affiliation_strings":["Liasse lab, ENSA., University Sidi Mohammed Ben Abdellah, Fes, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Liasse lab, ENSA., University Sidi Mohammed Ben Abdellah, Fes, Morocco","institution_ids":["https://openalex.org/I81605866"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035878397","display_name":"Brahim Ouhbi","orcid":"https://orcid.org/0000-0002-6340-5617"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ouhbi Brahim","raw_affiliation_strings":["Mathematical and Informatics Modeling Laboratory, High school of Arts and Crafts-Mekn\u00e8s, Meknes, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematical and Informatics Modeling Laboratory, High school of Arts and Crafts-Mekn\u00e8s, Meknes, Morocco","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.22531594,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"145","last_page":"150"},"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":0.9610000252723694,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.955299973487854,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/extractor","display_name":"Extractor","score":0.8200490474700928},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.792426586151123},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.742617130279541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5958428382873535},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5468111634254456},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5281303524971008},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5178968906402588},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4483746290206909},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.42816054821014404},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4129834771156311},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37644022703170776},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10277703404426575}],"concepts":[{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.8200490474700928},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.792426586151123},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.742617130279541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5958428382873535},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5468111634254456},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5281303524971008},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5178968906402588},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4483746290206909},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.42816054821014404},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4129834771156311},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37644022703170776},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10277703404426575},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cist49399.2021.9357066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cist49399.2021.9357066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 6th IEEE Congress on Information Science and Technology (CiSt)","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":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1901367599","https://openalex.org/W2230049528","https://openalex.org/W2749433718","https://openalex.org/W2786577118","https://openalex.org/W2942788488","https://openalex.org/W2944842185","https://openalex.org/W3009006131","https://openalex.org/W3017262721"],"related_works":["https://openalex.org/W3082848404","https://openalex.org/W1979583797","https://openalex.org/W2016864125","https://openalex.org/W2372254676","https://openalex.org/W4375867731","https://openalex.org/W2793679056","https://openalex.org/W2080135837","https://openalex.org/W3145050838","https://openalex.org/W4283332091","https://openalex.org/W1941834444"],"abstract_inverted_index":{"Deep":[0],"learning":[1,59],"methods":[2],"and":[3,100],"applications":[4,23],"have":[5],"become":[6],"an":[7],"integral":[8],"part":[9],"of":[10,18,28,35],"all":[11],"finance":[12],"subfields.":[13],"Fraud":[14],"detection":[15],"is":[16,38],"one":[17,33],"these":[19,22,36,94],"subfields":[20],"where":[21],"managed":[24],"to":[25,47,54,61,92],"save":[26],"billions":[27],"dollars":[29],"every":[30],"year.":[31],"However,":[32],"weakness":[34],"models":[37],"that":[39,88,119],"we":[40,108],"cannot":[41],"understand":[42],"what":[43],"rules":[44,76],"they":[45],"follow":[46],"make":[48],"their":[49],"decisions.":[50],"This":[51],"paper":[52],"aims":[53],"introduce":[55],"a":[56,110],"novel":[57],"deep":[58],"approach":[60],"detect":[62],"fraud":[63],"in":[64],"e-commerce,":[65],"taking":[66],"into":[67],"consideration":[68],"the":[69],"problem":[70],"mentioned":[71],"above":[72],"by":[73],"extracting":[74],"if-then":[75],"using":[77,97],"CRED":[78],"algorithm":[79],"(a":[80],"Continuous/discrete":[81],"Rule":[82],"Extractor":[83],"via":[84],"Decision":[85],"tree":[86],"induction)":[87],"employs":[89],"decision":[90],"trees":[91],"extract":[93],"rules.":[95],"Besides":[96],"feature":[98],"aggregation":[99],"re-sampling":[101],"method":[102],"on":[103],"two":[104],"highly":[105],"imbalanced":[106],"data-sets,":[107],"conducted":[109],"comparative":[111],"study":[112],"with":[113],"previous":[114],"work.":[115],"The":[116],"results":[117],"show":[118],"our":[120],"model":[121],"gives":[122],"better":[123],"performance.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}