{"id":"https://openalex.org/W2227790735","doi":"https://doi.org/10.4018/ijkbo.2016010105","title":"A Hybrid Approach Using Maximum Entropy and Bayesian Learning for Detecting Delinquency in Financial Industry","display_name":"A Hybrid Approach Using Maximum Entropy and Bayesian Learning for Detecting Delinquency in Financial Industry","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2227790735","doi":"https://doi.org/10.4018/ijkbo.2016010105","mag":"2227790735"},"language":"en","primary_location":{"id":"doi:10.4018/ijkbo.2016010105","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijkbo.2016010105","pdf_url":null,"source":{"id":"https://openalex.org/S4210171617","display_name":"International Journal of Knowledge-Based Organizations","issn_l":"2155-6393","issn":["2155-6393","2155-6407"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Knowledge-Based Organizations","raw_type":"journal-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/A5107979716","display_name":"Dharminder Kumar","orcid":"https://orcid.org/0000-0002-0860-3215"},"institutions":[{"id":"https://openalex.org/I15896350","display_name":"Guru Jambheshwar University of Science and Technology","ror":"https://ror.org/02zpxgh81","country_code":"IN","type":"education","lineage":["https://openalex.org/I15896350"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Dharminder Kumar","raw_affiliation_strings":["Department of Computer Science and Engineering, Guru Jambheshwar University of Science and Technology, Hisar, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Guru Jambheshwar University of Science and Technology, Hisar, India","institution_ids":["https://openalex.org/I15896350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084550730","display_name":"Suman Arora","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151968","display_name":"Hindu College of Pharmacy","ror":"https://ror.org/04sadrh19","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210151968"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suman Arora","raw_affiliation_strings":["Department of Computer Science and Engineering, Hindu College of Engineering, Sonepat, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Hindu College of Engineering, Sonepat, India","institution_ids":["https://openalex.org/I4210151968"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5107979716"],"corresponding_institution_ids":["https://openalex.org/I15896350"],"apc_list":null,"apc_paid":null,"fwci":0.857,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.82681964,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"6","issue":"1","first_page":"60","last_page":"73"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9940999746322632,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9796000123023987,"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/credit-card","display_name":"Credit card","score":0.8929332494735718},{"id":"https://openalex.org/keywords/credit-card-fraud","display_name":"Credit card fraud","score":0.764904797077179},{"id":"https://openalex.org/keywords/boom","display_name":"Boom","score":0.6812934875488281},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5249481201171875},{"id":"https://openalex.org/keywords/juvenile-delinquency","display_name":"Juvenile delinquency","score":0.47708091139793396},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.47664889693260193},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.47219690680503845},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45243480801582336},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.339883029460907},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3263397812843323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2804250717163086},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.28013724088668823},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1950872838497162},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16904586553573608}],"concepts":[{"id":"https://openalex.org/C2983355114","wikidata":"https://www.wikidata.org/wiki/Q161380","display_name":"Credit card","level":3,"score":0.8929332494735718},{"id":"https://openalex.org/C2780747020","wikidata":"https://www.wikidata.org/wiki/Q83873","display_name":"Credit card fraud","level":4,"score":0.764904797077179},{"id":"https://openalex.org/C141441539","wikidata":"https://www.wikidata.org/wiki/Q1970908","display_name":"Boom","level":2,"score":0.6812934875488281},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5249481201171875},{"id":"https://openalex.org/C71376074","wikidata":"https://www.wikidata.org/wiki/Q1001125","display_name":"Juvenile delinquency","level":2,"score":0.47708091139793396},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.47664889693260193},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.47219690680503845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45243480801582336},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.339883029460907},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3263397812843323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2804250717163086},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.28013724088668823},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1950872838497162},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16904586553573608},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijkbo.2016010105","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijkbo.2016010105","pdf_url":null,"source":{"id":"https://openalex.org/S4210171617","display_name":"International Journal of Knowledge-Based Organizations","issn_l":"2155-6393","issn":["2155-6393","2155-6407"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Knowledge-Based Organizations","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jkbo00:v:6:y:2016:i:1:p:60-73","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJKBO.2016010105","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7099999785423279,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1530232915","https://openalex.org/W1602011302","https://openalex.org/W1964089535","https://openalex.org/W1970532985","https://openalex.org/W1995875735","https://openalex.org/W2032908054","https://openalex.org/W2045049630","https://openalex.org/W2049058890","https://openalex.org/W2061240327","https://openalex.org/W2096266510","https://openalex.org/W2101756295","https://openalex.org/W2103441516","https://openalex.org/W2105809068","https://openalex.org/W2109326444","https://openalex.org/W2135633991","https://openalex.org/W2135689168","https://openalex.org/W2140190241","https://openalex.org/W2160150610","https://openalex.org/W2331052961","https://openalex.org/W2405680064","https://openalex.org/W2536744418","https://openalex.org/W2585459224","https://openalex.org/W3127599935"],"related_works":["https://openalex.org/W4224237387","https://openalex.org/W2483711049","https://openalex.org/W3150316110","https://openalex.org/W3153799676","https://openalex.org/W4313247660","https://openalex.org/W2984276143","https://openalex.org/W4281702918","https://openalex.org/W4283392145","https://openalex.org/W3111672143","https://openalex.org/W4281858644"],"abstract_inverted_index":{"The":[0,84],"use":[1],"of":[2,14,50,75,81,87,102],"credit":[3,29,59,82],"card":[4,30,60],"has":[5,21],"increased":[6],"tremendously":[7],"in":[8,17,24,27,78],"the":[9,15,18,25,28,48,72,76,98],"past":[10],"few":[11],"years":[12],"because":[13],"boom":[16],"economy":[19],"which":[20],"also":[22,94],"resulted":[23],"increase":[26],"fraud":[31,61],"cases.":[32],"Various":[33],"leading":[34],"banks":[35],"and":[36,100],"software":[37],"development":[38],"companies":[39],"worldwide":[40],"are":[41],"taking":[42],"serious":[43],"measures":[44],"to":[45,71],"deal":[46],"with":[47,90],"gravity":[49],"this":[51],"situation.":[52],"This":[53],"paper":[54],"proposes":[55],"a":[56],"framework":[57],"for":[58],"detection":[62],"that":[63],"will":[64],"detect":[65],"frauds":[66],"using":[67],"maximum":[68],"entropy":[69],"according":[70],"irregular":[73],"behavior":[74],"customers":[77],"various":[79],"transactions":[80],"card.":[83],"comparative":[85],"study":[86],"above":[88],"approach":[89],"existing":[91],"approaches":[92],"is":[93],"addressed.":[95],"Results":[96],"show":[97],"feasibility":[99],"validity":[101],"each":[103],"approach.":[104]},"counts_by_year":[{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}