{"id":"https://openalex.org/W4404033156","doi":"https://doi.org/10.1109/icccnt61001.2024.10724952","title":"Comparative study of Machine Learning Approaches for Loan Approval Prediction in financial sector","display_name":"Comparative study of Machine Learning Approaches for Loan Approval Prediction in financial sector","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4404033156","doi":"https://doi.org/10.1109/icccnt61001.2024.10724952"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt61001.2024.10724952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt61001.2024.10724952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5077485488","display_name":"M Kruthika","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M.Sri Kruthika","raw_affiliation_strings":["Kongu Engineering College Perundurai,Department of Artificial Intelligence,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kongu Engineering College Perundurai,Department of Artificial Intelligence,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059822680","display_name":"R. Rajadevi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R. Rajadevi","raw_affiliation_strings":["Kongu Engineering College Perundurai,Department of Artificial Intelligence,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kongu Engineering College Perundurai,Department of Artificial Intelligence,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067386639","display_name":"K. Senthilvadivu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. Senthilvadivu","raw_affiliation_strings":["Kongu Engineering College Perundurai,Department of Artificial Intelligence,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kongu Engineering College Perundurai,Department of Artificial Intelligence,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103217855","display_name":"J. Lavanya","orcid":"https://orcid.org/0000-0003-4118-2990"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J. Lavanya","raw_affiliation_strings":["Kongu Engineering College Perundurai,Department of Artificial Intelligence,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kongu Engineering College Perundurai,Department of Artificial Intelligence,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012672840","display_name":"Desh Deepak","orcid":"https://orcid.org/0000-0001-8532-9857"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. Deepak","raw_affiliation_strings":["Kongu Engineering College Perundurai,Department of Artificial Intelligence,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kongu Engineering College Perundurai,Department of Artificial Intelligence,India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101714195","display_name":"G. Lavanya","orcid":"https://orcid.org/0000-0001-8958-3123"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G. Lavanya","raw_affiliation_strings":["Kongu Engineering College Perundurai,Department of Artificial Intelligence,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kongu Engineering College Perundurai,Department of Artificial Intelligence,India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9341,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.82263486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11995","display_name":"FinTech, Crowdfunding, Digital Finance","score":0.9006999731063843,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"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/T11995","display_name":"FinTech, Crowdfunding, Digital Finance","score":0.9006999731063843,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"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/loan","display_name":"Loan","score":0.6465989947319031},{"id":"https://openalex.org/keywords/financial-sector","display_name":"Financial sector","score":0.4778316020965576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43328210711479187},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.41958385705947876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39731070399284363},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3852696418762207},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36126530170440674}],"concepts":[{"id":"https://openalex.org/C2777764128","wikidata":"https://www.wikidata.org/wiki/Q189539","display_name":"Loan","level":2,"score":0.6465989947319031},{"id":"https://openalex.org/C2986840890","wikidata":"https://www.wikidata.org/wiki/Q837171","display_name":"Financial sector","level":2,"score":0.4778316020965576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43328210711479187},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.41958385705947876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39731070399284363},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3852696418762207},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36126530170440674}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt61001.2024.10724952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt61001.2024.10724952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2921451329","https://openalex.org/W3198568876","https://openalex.org/W4283654599","https://openalex.org/W4285154599","https://openalex.org/W4288754419","https://openalex.org/W4318969278","https://openalex.org/W4377966950","https://openalex.org/W4379619986","https://openalex.org/W4383102234","https://openalex.org/W4385451200","https://openalex.org/W4386394213","https://openalex.org/W4394937398","https://openalex.org/W6801167123","https://openalex.org/W6852881698","https://openalex.org/W6885018261"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"The":[0,118],"surge":[1],"in":[2,5,153],"loan":[3,38,65,115,145,173,188],"demand":[4],"India":[6],"highlights":[7],"the":[8,100,103,108,121,162,185],"necessity":[9],"for":[10,112],"banks":[11],"to":[12,17,36,44,55,106,150],"refine":[13],"their":[14],"assessment":[15],"methodologies":[16],"ensure":[18],"accurate":[19],"evaluation":[20],"of":[21,71,99,124,137,187],"applicants\u2019":[22],"creditworthiness.":[23],"As":[24],"financial":[25,179],"institutions":[26,180],"address":[27,45],"this":[28,46],"demand,":[29],"leveraging":[30],"data":[31,51],"analytics":[32],"presents":[33],"an":[34,133],"opportunity":[35],"enhance":[37],"approval":[39,66,116,146],"processes.":[40],"This":[41],"paper":[42],"aims":[43],"need":[47],"by":[48,183],"exploring":[49],"various":[50],"analysis":[52,70],"techniques":[53],"tailored":[54],"comprehensively":[56],"assess":[57],"applicant":[58],"backgrounds":[59],"and":[60,89,128,155,170,181,193,197],"contextual":[61],"factors.":[62],"To":[63],"optimize":[64],"processes,":[67],"a":[68,96],"comparative":[69],"five":[72],"prominent":[73],"machine":[74],"learning":[75],"models":[76,141,159],"-":[77],"Logistic":[78],"Regression,":[79],"Decision":[80,126],"Tree,":[81],"K":[82],"Nearest":[83],"Neighbour":[84],"(KNN),":[85],"Random":[86,129],"Forest":[87,130],"Classifier,":[88],"Gaussian":[90],"Naive":[91],"Bayes":[92],"is":[93],"conducted.":[94],"Through":[95],"detailed":[97],"examination":[98],"models\u2019":[101],"performance,":[102],"study":[104],"seeks":[105],"determine":[107],"most":[109],"efficient":[110,196],"method":[111],"accurately":[113],"predicting":[114],"outcomes.":[117],"findings":[119],"unveil":[120],"exceptional":[122],"performance":[123],"both":[125,178],"Tree":[127],"models,":[131],"with":[132],"impressive":[134],"accuracy":[135,186],"rate":[136],"100%.":[138],"Integrating":[139],"these":[140,158],"into":[142],"current":[143],"bank":[144],"systems":[147],"can":[148,160],"lead":[149],"significant":[151],"improvements":[152],"efficiency":[154],"reliability.":[156],"Specifically,":[157],"make":[161],"decision-making":[163],"process":[164],"more":[165,195],"efficient,":[166],"reduce":[167],"human":[168],"errors,":[169],"speed":[171],"up":[172],"processing.":[174],"These":[175],"enhancements":[176],"benefit":[177],"applicants":[182],"improving":[184],"approvals,":[189],"increasing":[190],"customer":[191],"satisfaction,":[192],"ensuring":[194],"reliable":[198],"lending":[199],"decisions.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
