{"id":"https://openalex.org/W73356907","doi":"https://doi.org/10.4018/978-1-60566-010-3.ch065","title":"Data Mining for Fraud Detection System","display_name":"Data Mining for Fraud Detection System","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W73356907","doi":"https://doi.org/10.4018/978-1-60566-010-3.ch065","mag":"73356907"},"language":"en","primary_location":{"id":"doi:10.4018/978-1-60566-010-3.ch065","doi":"https://doi.org/10.4018/978-1-60566-010-3.ch065","is_oa":false,"landing_page_url":"https://doi.org/10.4018/978-1-60566-010-3.ch065","pdf_url":null,"source":{"id":"https://openalex.org/S4306463409","display_name":"IGI Global eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Encyclopedia of Data Warehousing and Mining, Second Edition","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W2587851609","display_name":"Encyclopedia of Data Warehousing and Mining, Second Edition"},"type":"reference-entry","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/A5078256643","display_name":"Roberto Marmo","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Roberto Marmo","raw_affiliation_strings":["University of Pavia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5078256643"],"corresponding_institution_ids":["https://openalex.org/I25217355"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"411","last_page":"416"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9276999831199646,"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":0.9276999831199646,"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/T13720","display_name":"Benford\u2019s Law and Fraud Detection","score":0.03440000116825104,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.016100000590085983,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fraud-detection","display_name":"fraud detection","score":0.9980000257492065},{"id":"https://openalex.org/keywords/data-mining","display_name":"data mining","score":0.6970000267028809},{"id":"https://openalex.org/keywords/credit-card-fraud","display_name":"credit card fraud","score":0.9319999814033508},{"id":"https://openalex.org/keywords/telecommunications-fraud","display_name":"telecommunications fraud","score":0.9779999852180481},{"id":"https://openalex.org/keywords/user-behavior-tracking","display_name":"user behavior monitoring","score":0.9350000023841858},{"id":"https://openalex.org/keywords/fraud-prevention","display_name":"fraud prevention","score":0.9409999847412109},{"id":"https://openalex.org/keywords/evidence-law","display_name":"evidence law","score":0.6949999928474426}],"concepts":[{"id":"https://openalex.org/C48798503","wikidata":"https://www.wikidata.org/wiki/Q877546","display_name":"Reputation","level":2,"score":0.697074294090271},{"id":"https://openalex.org/C2780747020","wikidata":"https://www.wikidata.org/wiki/Q83873","display_name":"Credit card fraud","level":4,"score":0.6877703070640564},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5866715312004089},{"id":"https://openalex.org/C2983355114","wikidata":"https://www.wikidata.org/wiki/Q161380","display_name":"Credit card","level":3,"score":0.5564791560173035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5240443348884583},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.40088334679603577},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3730916678905487},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.35070735216140747},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.30366507172584534},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11659061908721924},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/978-1-60566-010-3.ch065","doi":"https://doi.org/10.4018/978-1-60566-010-3.ch065","is_oa":false,"landing_page_url":"https://doi.org/10.4018/978-1-60566-010-3.ch065","pdf_url":null,"source":{"id":"https://openalex.org/S4306463409","display_name":"IGI Global eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Encyclopedia of Data Warehousing and Mining, Second Edition","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W145450961","https://openalex.org/W265896103","https://openalex.org/W1502533877","https://openalex.org/W1517113043","https://openalex.org/W1605311381","https://openalex.org/W1930788593","https://openalex.org/W2040661907","https://openalex.org/W2064895247","https://openalex.org/W2082732197","https://openalex.org/W2113377603","https://openalex.org/W2148791241","https://openalex.org/W2160150610","https://openalex.org/W3127599935"],"related_works":["https://openalex.org/W7096987714","https://openalex.org/W2964158290","https://openalex.org/W2148108604","https://openalex.org/W2785802657","https://openalex.org/W2900884304","https://openalex.org/W4205560153","https://openalex.org/W2971245297","https://openalex.org/W2911817394","https://openalex.org/W3135637956","https://openalex.org/W1954331719"],"abstract_inverted_index":{"As":[0],"a":[1,89],"conseguence":[2],"of":[3,5,12,49,66,91,105],"expansion":[4],"modern":[6],"technology,":[7],"the":[8,18,47,58,93,103],"number":[9],"and":[10,21,29,61,79,86,100,121],"scenario":[11],"fraud":[13,32,77],"are":[14,24,122],"increasing":[15],"dramatically.":[16],"Therefore,":[17],"reputation":[19],"blemish":[20],"losses":[22],"caused":[23],"primary":[25],"motivations":[26],"for":[27,31,76,129],"technologies":[28],"methodologies":[30],"detection":[33,44,78],"that":[34],"have":[35],"been":[36],"applied":[37],"successfully":[38],"in":[39,83,102],"some":[40,72],"economic":[41],"activities.":[42],"The":[43,64,110],"involves":[45],"monitoring":[46],"behavior":[48],"users":[50],"based":[51],"on":[52],"huge":[53],"data":[54,60,73,94],"sets":[55],"such":[56],"as":[57],"logged":[59],"user":[62],"behavior.":[63],"aim":[65],"this":[67],"contribution":[68],"is":[69,112],"to":[70,95,131],"show":[71],"mining":[74,92],"techniques":[75],"prevention":[80],"with":[81],"applications":[82],"credit":[84],"card":[85],"telecommunications,":[87],"within":[88],"business":[90],"achieve":[96],"higher":[97],"cost":[98],"savings,":[99],"also":[101],"interests":[104],"determining":[106],"potential":[107],"legal":[108],"evidence.":[109],"problem":[111],"very":[113],"difficult":[114],"because":[115],"fraudsters":[116],"takes":[117],"many":[118],"different":[119],"forms":[120],"adaptive,":[123],"so":[124],"they":[125],"will":[126],"usually":[127],"look":[128],"ways":[130],"avoid":[132],"every":[133],"security":[134],"measures.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2016-06-24T00:00:00"}