{"id":"https://openalex.org/W2061725676","doi":"https://doi.org/10.1145/2799979.2800002","title":"A graph-based data mining approach to preventing financial fraud","display_name":"A graph-based data mining approach to preventing financial fraud","publication_year":2015,"publication_date":"2015-09-08","ids":{"openalex":"https://openalex.org/W2061725676","doi":"https://doi.org/10.1145/2799979.2800002","mag":"2061725676"},"language":"en","primary_location":{"id":"doi:10.1145/2799979.2800002","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2799979.2800002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Security of Information and Networks","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/A5001596390","display_name":"Margarita Knyazeva","orcid":"https://orcid.org/0000-0002-5064-2234"},"institutions":[{"id":"https://openalex.org/I137534880","display_name":"Southern Federal University","ror":"https://ror.org/01tv9ph92","country_code":"RU","type":"education","lineage":["https://openalex.org/I137534880"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Margarita Knyazeva","raw_affiliation_strings":["Southern Federal University, Taganrog, Russia","[Southern Federal University, Taganrog, Russia]"],"affiliations":[{"raw_affiliation_string":"Southern Federal University, Taganrog, Russia","institution_ids":["https://openalex.org/I137534880"]},{"raw_affiliation_string":"[Southern Federal University, Taganrog, Russia]","institution_ids":["https://openalex.org/I137534880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070670634","display_name":"Alexander Tselykh","orcid":"https://orcid.org/0000-0001-6956-5315"},"institutions":[{"id":"https://openalex.org/I137534880","display_name":"Southern Federal University","ror":"https://ror.org/01tv9ph92","country_code":"RU","type":"education","lineage":["https://openalex.org/I137534880"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexander Tselykh","raw_affiliation_strings":["Southern Federal University, Taganrog, Russia","[Southern Federal University, Taganrog, Russia]"],"affiliations":[{"raw_affiliation_string":"Southern Federal University, Taganrog, Russia","institution_ids":["https://openalex.org/I137534880"]},{"raw_affiliation_string":"[Southern Federal University, Taganrog, Russia]","institution_ids":["https://openalex.org/I137534880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049173957","display_name":"Alexey Tselykh","orcid":"https://orcid.org/0000-0002-3588-4358"},"institutions":[{"id":"https://openalex.org/I137534880","display_name":"Southern Federal University","ror":"https://ror.org/01tv9ph92","country_code":"RU","type":"education","lineage":["https://openalex.org/I137534880"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexey Tselykh","raw_affiliation_strings":["Southern Federal University, Taganrog, Russia","[Southern Federal University, Taganrog, Russia]"],"affiliations":[{"raw_affiliation_string":"Southern Federal University, Taganrog, Russia","institution_ids":["https://openalex.org/I137534880"]},{"raw_affiliation_string":"[Southern Federal University, Taganrog, Russia]","institution_ids":["https://openalex.org/I137534880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082148805","display_name":"Elena G. Popkova","orcid":"https://orcid.org/0000-0003-2136-2767"},"institutions":[{"id":"https://openalex.org/I137534880","display_name":"Southern Federal University","ror":"https://ror.org/01tv9ph92","country_code":"RU","type":"education","lineage":["https://openalex.org/I137534880"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Elena Popkova","raw_affiliation_strings":["Southern Federal University, Taganrog, Russia","[Southern Federal University, Taganrog, Russia]"],"affiliations":[{"raw_affiliation_string":"Southern Federal University, Taganrog, Russia","institution_ids":["https://openalex.org/I137534880"]},{"raw_affiliation_string":"[Southern Federal University, Taganrog, Russia]","institution_ids":["https://openalex.org/I137534880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001596390"],"corresponding_institution_ids":["https://openalex.org/I137534880"],"apc_list":null,"apc_paid":null,"fwci":0.4465,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7682213,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"109","last_page":"113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9972000122070312,"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":0.9972000122070312,"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/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9739000201225281,"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/computer-science","display_name":"Computer science","score":0.7579131722450256},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6311572790145874},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6238912343978882},{"id":"https://openalex.org/keywords/ibm","display_name":"IBM","score":0.49268466234207153},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.48871469497680664},{"id":"https://openalex.org/keywords/external-data-representation","display_name":"External Data Representation","score":0.46484890580177307},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.41994109749794006},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3315110504627228},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22600260376930237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21297165751457214},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15792417526245117}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7579131722450256},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6311572790145874},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6238912343978882},{"id":"https://openalex.org/C70388272","wikidata":"https://www.wikidata.org/wiki/Q5968558","display_name":"IBM","level":2,"score":0.49268466234207153},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.48871469497680664},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.46484890580177307},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.41994109749794006},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3315110504627228},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22600260376930237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21297165751457214},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15792417526245117},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2799979.2800002","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2799979.2800002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Security of Information and Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7699999809265137,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G2569510469","display_name":null,"funder_award_id":"15-01-09139","funder_id":"https://openalex.org/F4320321079","funder_display_name":"Russian Foundation for Basic Research"}],"funders":[{"id":"https://openalex.org/F4320321079","display_name":"Russian Foundation for Basic Research","ror":"https://ror.org/02mh1ke95"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W285839185","https://openalex.org/W1523283084","https://openalex.org/W1572005155","https://openalex.org/W1799051469","https://openalex.org/W1966510486","https://openalex.org/W2040290480","https://openalex.org/W2074346829","https://openalex.org/W2079228007","https://openalex.org/W2105809068","https://openalex.org/W2149230623","https://openalex.org/W3121910114","https://openalex.org/W3121925664","https://openalex.org/W3127599935"],"related_works":["https://openalex.org/W3126131865","https://openalex.org/W4253186488","https://openalex.org/W2044344400","https://openalex.org/W1996938127","https://openalex.org/W2083611981","https://openalex.org/W2072507639","https://openalex.org/W2988115728","https://openalex.org/W3209527236","https://openalex.org/W1570797710","https://openalex.org/W4379983991"],"abstract_inverted_index":{"In":[0,49],"this":[1,53],"paper,":[2],"we":[3,72],"present":[4],"a":[5,9,66,74,86,113],"graph-based":[6,75,109],"approach":[7],"to":[8,22,32,46,51,65,77,93,104,138],"data":[10,44,67,82,98,140],"mining":[11,27,68,99],"problem":[12],"of":[13,19,40,81,88,91,112,115],"exploring":[14],"and":[15,34,42,62,96,122,128,141],"revealing":[16],"domain":[17],"groups":[18],"users":[20],"prone":[21],"committing":[23],"financial":[24,29,43],"fraud.":[25],"Data":[26],"in":[28],"applications":[30],"refers":[31],"extracting":[33],"organizing":[35],"knowledge":[36],"from":[37],"large":[38,79],"amount":[39],"legal":[41],"according":[45,64],"certain":[47],"criteria.":[48],"order":[50],"solve":[52,94],"problem,":[54],"information":[55],"about":[56],"the":[57,131],"companies":[58],"should":[59],"be":[60],"well-defined":[61],"arranged":[63],"process":[69],"model.":[70],"Here,":[71],"introduced":[73],"model":[76,110,143],"formalize":[78],"amounts":[80],"as":[83,85,119],"well":[84],"methodology":[87],"graph":[89,142],"centers":[90],"interest":[92],"classification":[95],"prediction":[97],"tasks":[100],"that":[101],"are":[102],"vital":[103],"handle":[105],"fraud":[106],"detection.":[107],"A":[108],"consists":[111],"set":[114],"real":[116],"objects,":[117],"such":[118],"shareholders,":[120],"vendors,":[121],"directors,":[123],"with":[124],"some":[125],"object":[126],"attributes":[127],"relations":[129],"between":[130],"objects.":[132],"IBM":[133],"i2":[134],"software":[135],"is":[136],"used":[137],"visualize":[139],"representation.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}