{"id":"https://openalex.org/W2735993163","doi":"https://doi.org/10.1504/ijkedm.2017.10006181","title":"Application and Comparison of Neural Network, C5.0, and Classification and Regression Trees (CART) algorithms in the Credit Risk Evaluation Problem (Case Study: A Standard German Credit Dataset)","display_name":"Application and Comparison of Neural Network, C5.0, and Classification and Regression Trees (CART) algorithms in the Credit Risk Evaluation Problem (Case Study: A Standard German Credit Dataset)","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2735993163","doi":"https://doi.org/10.1504/ijkedm.2017.10006181","mag":"2735993163"},"language":"en","primary_location":{"id":"doi:10.1504/ijkedm.2017.10006181","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijkedm.2017.10006181","pdf_url":null,"source":{"id":"https://openalex.org/S69146867","display_name":"International Journal of Knowledge Engineering and Data Mining","issn_l":"1755-2087","issn":["1755-2087","1755-2095"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Knowledge Engineering and Data Mining","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/A5053189576","display_name":"Fahimeh Kheradmand","orcid":null},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Fahimeh Kheradmand","raw_affiliation_strings":["Department of Industrial Engineering and Management Sciences, Amirkabir University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Management Sciences, Amirkabir University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013791537","display_name":"Alireza Arshadi Khamseh","orcid":"https://orcid.org/0000-0002-6590-6992"},"institutions":[{"id":"https://openalex.org/I181744264","display_name":"Kharazmi University","ror":"https://ror.org/05hsgex59","country_code":"IR","type":"education","lineage":["https://openalex.org/I181744264"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Alireza Arshadi Khamseh","raw_affiliation_strings":["Department of Industrial Engineering, College of Engineering, University of Kharazmi, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, College of Engineering, University of Kharazmi, Tehran, Iran","institution_ids":["https://openalex.org/I181744264"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002415941","display_name":"Mahdi Massahi Khoraskani","orcid":"https://orcid.org/0000-0002-2697-5805"},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mahdi Massahi Khoraskani,","raw_affiliation_strings":["Department of Industrial Engineering and Management Sciences, Amirkabir University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Management Sciences, Amirkabir University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12473452,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"4","issue":"1","first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.7477999925613403,"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"}},"topics":[{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.7477999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7351496815681458},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6863765716552734},{"id":"https://openalex.org/keywords/cart","display_name":"Cart","score":0.6242789626121521},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5957626700401306},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5879782438278198},{"id":"https://openalex.org/keywords/credit-risk","display_name":"Credit risk","score":0.5668052434921265},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5145832896232605},{"id":"https://openalex.org/keywords/credit-card","display_name":"Credit card","score":0.49602803587913513},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.46429333090782166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45567095279693604},{"id":"https://openalex.org/keywords/analytic-hierarchy-process","display_name":"Analytic hierarchy process","score":0.4547223448753357},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.21752139925956726},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.12246119976043701},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09701400995254517},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08637526631355286}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7351496815681458},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6863765716552734},{"id":"https://openalex.org/C2777275308","wikidata":"https://www.wikidata.org/wiki/Q234668","display_name":"Cart","level":2,"score":0.6242789626121521},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5957626700401306},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5879782438278198},{"id":"https://openalex.org/C178350159","wikidata":"https://www.wikidata.org/wiki/Q162714","display_name":"Credit risk","level":2,"score":0.5668052434921265},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5145832896232605},{"id":"https://openalex.org/C2983355114","wikidata":"https://www.wikidata.org/wiki/Q161380","display_name":"Credit card","level":3,"score":0.49602803587913513},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.46429333090782166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45567095279693604},{"id":"https://openalex.org/C87345402","wikidata":"https://www.wikidata.org/wiki/Q485202","display_name":"Analytic hierarchy process","level":2,"score":0.4547223448753357},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.21752139925956726},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.12246119976043701},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09701400995254517},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08637526631355286},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijkedm.2017.10006181","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijkedm.2017.10006181","pdf_url":null,"source":{"id":"https://openalex.org/S69146867","display_name":"International Journal of Knowledge Engineering and Data Mining","issn_l":"1755-2087","issn":["1755-2087","1755-2095"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Knowledge Engineering and Data Mining","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2322350723","https://openalex.org/W3193909393","https://openalex.org/W4226229889","https://openalex.org/W2618011907","https://openalex.org/W2945144341","https://openalex.org/W1885538364","https://openalex.org/W2974098477","https://openalex.org/W4244679540","https://openalex.org/W2258783214","https://openalex.org/W2724694452"],"abstract_inverted_index":{"Due":[0],"to":[1,61,124,144],"the":[2,7,32,63,66,77,95,126,129,136,141],"reducing":[3],"global":[4],"economic":[5],"stability,":[6],"demand":[8],"of":[9,34,38,65,80,104,128],"banks":[10],"for":[11],"predicting":[12],"their":[13],"customer's":[14],"credit":[15,35,120,148],"risk":[16,36],"has":[17,21],"significantly":[18],"increased":[19],"and":[20,52,54,109],"become":[22],"more":[23],"critical,":[24],"still":[25],"challenging":[26],"than":[27],"ever.":[28],"This":[29],"paper":[30],"addresses":[31],"problem":[33],"evaluation":[37,72],"bank's":[39],"customers":[40],"utilising":[41],"data":[42],"mining":[43],"tools.":[44],"Three":[45],"classification":[46,53,67],"techniques":[47],"include:":[48],"neural":[49,137],"network,":[50],"C5.0,":[51],"regression":[55],"trees":[56],"(CART)":[57],"algorithms.":[58,131],"In":[59],"order":[60],"evaluate":[62,145],"performance":[64,127],"techniques,":[68],"an":[69],"innovative":[70],"two-stage":[71],"process":[73,98],"is":[74,82,133,140],"proposed.":[75],"Firstly,":[76],"optimal":[78],"status":[79],"algorithms":[81,91],"found":[83],"by":[84,94],"tuning":[85],"its":[86],"parameters.":[87],"Secondly,":[88],"these":[89],"tuned":[90],"are":[92,111,122],"ranked":[93],"analytical":[96],"hierarchy":[97],"(AHP)":[99],"method":[100],"while":[101],"four":[102],"criteria":[103],"overall":[105],"accuracy,":[106],"precision,":[107],"sensitivity,":[108],"specificity":[110],"considered.":[112],"As":[113],"a":[114,117],"case":[115],"study,":[116],"standard":[118],"German":[119],"dataset":[121],"used":[123],"validate":[125],"proposed":[130],"It":[132],"illustrated":[134],"that":[135],"network":[138],"algorithm":[139,143],"superior":[142],"bank":[146],"customers'":[147],"risk.":[149]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}