{"id":"https://openalex.org/W4311711136","doi":"https://doi.org/10.1007/s42979-022-01500-7","title":"The Most Effective Strategy for Incorporating Feature Selection into Credit Risk Assessment","display_name":"The Most Effective Strategy for Incorporating Feature Selection into Credit Risk Assessment","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4311711136","doi":"https://doi.org/10.1007/s42979-022-01500-7"},"language":"en","primary_location":{"id":"doi:10.1007/s42979-022-01500-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s42979-022-01500-7","pdf_url":null,"source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","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/A5072265931","display_name":"Dalia Atif","orcid":"https://orcid.org/0000-0002-9919-3628"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dalia Atif","raw_affiliation_strings":["Economics, University of Tipaza, 42000, Tipaza, Algeria"],"affiliations":[{"raw_affiliation_string":"Economics, University of Tipaza, 42000, Tipaza, Algeria","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041634025","display_name":"Mabrouka Salmi","orcid":"https://orcid.org/0000-0001-5548-3001"},"institutions":[{"id":"https://openalex.org/I53110688","display_name":"University of C\u00f3rdoba","ror":"https://ror.org/05yc77b46","country_code":"ES","type":"education","lineage":["https://openalex.org/I53110688"]},{"id":"https://openalex.org/I67327644","display_name":"Cordoba University","ror":"https://ror.org/01d5zhz86","country_code":"US","type":"education","lineage":["https://openalex.org/I67327644"]},{"id":"https://openalex.org/I4210091172","display_name":"National Higher School of Statistics and Applied Economy","ror":"https://ror.org/00cepgz04","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210091172"]}],"countries":["DZ","ES","US"],"is_corresponding":false,"raw_author_name":"Mabrouka Salmi","raw_affiliation_strings":["Advanced Computing, University of Cordoba, 14014, Cordoba, Spain","Applied Statistics, National School of Statistics and Applied Economics, 42003, Kolea, Algeria"],"affiliations":[{"raw_affiliation_string":"Advanced Computing, University of Cordoba, 14014, Cordoba, Spain","institution_ids":["https://openalex.org/I53110688","https://openalex.org/I67327644"]},{"raw_affiliation_string":"Applied Statistics, National School of Statistics and Applied Economics, 42003, Kolea, Algeria","institution_ids":["https://openalex.org/I4210091172"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072265931"],"corresponding_institution_ids":[],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":null,"fwci":1.4604,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84682632,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"4","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9994999766349792,"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":0.9994999766349792,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9947999715805054,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9682999849319458,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7738829255104065},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7672262191772461},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6204870939254761},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6024492383003235},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5607457756996155},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5536714196205139},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5500175952911377},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4829563498497009},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.48257723450660706},{"id":"https://openalex.org/keywords/credit-risk","display_name":"Credit risk","score":0.4759899377822876},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.47151386737823486},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4602159261703491},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4075899124145508},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3315213918685913},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17894437909126282},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.08252450823783875}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7738829255104065},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7672262191772461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6204870939254761},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6024492383003235},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5607457756996155},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5536714196205139},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5500175952911377},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4829563498497009},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.48257723450660706},{"id":"https://openalex.org/C178350159","wikidata":"https://www.wikidata.org/wiki/Q162714","display_name":"Credit risk","level":2,"score":0.4759899377822876},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.47151386737823486},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4602159261703491},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4075899124145508},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3315213918685913},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17894437909126282},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.08252450823783875},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s42979-022-01500-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s42979-022-01500-7","pdf_url":null,"source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.4099999964237213,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W70551643","https://openalex.org/W1487321909","https://openalex.org/W1800724332","https://openalex.org/W2008023154","https://openalex.org/W2015954856","https://openalex.org/W2055133036","https://openalex.org/W2092829070","https://openalex.org/W2115709314","https://openalex.org/W2116660956","https://openalex.org/W2125537576","https://openalex.org/W2131105131","https://openalex.org/W2131816657","https://openalex.org/W2132129083","https://openalex.org/W2135046866","https://openalex.org/W2143426320","https://openalex.org/W2153631847","https://openalex.org/W2155261478","https://openalex.org/W2156909104","https://openalex.org/W2160222246","https://openalex.org/W2161347558","https://openalex.org/W2165250079","https://openalex.org/W2169281690","https://openalex.org/W2184148260","https://openalex.org/W2336631262","https://openalex.org/W2557117995","https://openalex.org/W2619951045","https://openalex.org/W2754510604","https://openalex.org/W2789008277","https://openalex.org/W2799791930","https://openalex.org/W2810984894","https://openalex.org/W2851276819","https://openalex.org/W2890282059","https://openalex.org/W2901857397","https://openalex.org/W2911964244","https://openalex.org/W2922304187","https://openalex.org/W2966806276","https://openalex.org/W2984062413","https://openalex.org/W3014976078","https://openalex.org/W3037144599","https://openalex.org/W3095599476","https://openalex.org/W3095606640","https://openalex.org/W3122622005","https://openalex.org/W3126433460","https://openalex.org/W3153243574","https://openalex.org/W3158300221","https://openalex.org/W3161596047","https://openalex.org/W4248214627","https://openalex.org/W4285262174","https://openalex.org/W4294541781"],"related_works":["https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W3135818052","https://openalex.org/W4388745254","https://openalex.org/W2980082554","https://openalex.org/W2767419625","https://openalex.org/W2389704471","https://openalex.org/W1517228774"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}