{"id":"https://openalex.org/W1995254696","doi":"https://doi.org/10.1016/j.eswa.2011.02.179","title":"Neighborhood rough set and SVM based hybrid credit scoring classifier","display_name":"Neighborhood rough set and SVM based hybrid credit scoring classifier","publication_year":2011,"publication_date":"2011-03-16","ids":{"openalex":"https://openalex.org/W1995254696","doi":"https://doi.org/10.1016/j.eswa.2011.02.179","mag":"1995254696"},"language":"en","primary_location":{"id":"doi:10.1016/j.eswa.2011.02.179","doi":"https://doi.org/10.1016/j.eswa.2011.02.179","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.eswa.2011.02.179","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-c","cwts-core","dongbi-c","doyens","fnege-3","jufo-2","ki-jl-2","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems with Applications","raw_type":"journal-article"},"volume":null,"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":null,"display_name":"Yao Ping","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yao Ping","raw_affiliation_strings":["College of Economics & Management, Heilongjiang Institute of Science and Technology, Harbin 150027, China","College of Economics & Management, Heilongjiang Institute of Science and Technology, Harbin 150027, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Economics & Management, Heilongjiang Institute of Science and Technology, Harbin 150027, China","institution_ids":[]},{"raw_affiliation_string":"College of Economics & Management, Heilongjiang Institute of Science and Technology, Harbin 150027, China#TAB#","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110518487","display_name":"Lu Yongheng","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lu Yongheng","raw_affiliation_strings":["College of Economics & Management, Heilongjiang Institute of Science and Technology, Harbin 150027, China","College of Economics & Management, Heilongjiang Institute of Science and Technology, Harbin 150027, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Economics & Management, Heilongjiang Institute of Science and Technology, Harbin 150027, China","institution_ids":[]},{"raw_affiliation_string":"College of Economics & Management, Heilongjiang Institute of Science and Technology, Harbin 150027, China#TAB#","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5110518487"],"corresponding_institution_ids":[],"apc_list":{"value":3500,"currency":"USD","value_usd":3500},"apc_paid":null,"fwci":13.6201,"has_fulltext":false,"cited_by_count":98,"citation_normalized_percentile":{"value":0.98203738,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"38","issue":"9","first_page":"11300","last_page":"11304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.975600004196167,"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":0.975600004196167,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.01269999984651804,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.0020000000949949026,"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-scoring","display_name":"credit scoring","score":0.9950000047683716},{"id":"https://openalex.org/keywords/neighborhood-rough-set","display_name":"neighborhood rough set","score":0.9850000143051147},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.9350000023841858},{"id":"https://openalex.org/keywords/hybrid-classifier","display_name":"hybrid classifier","score":0.8149999976158142},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.9959999918937683},{"id":"https://openalex.org/keywords/grid-search","display_name":"grid search","score":0.843999981880188},{"id":"https://openalex.org/keywords/credit-risk-assessment","display_name":"credit risk assessment","score":0.6880000233650208}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7499911189079285},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7149921655654907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6028381586074829},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5772095918655396},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.554600715637207},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.5379178524017334},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5370513200759888},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.47548139095306396},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4681915044784546},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3950437009334564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.eswa.2011.02.179","doi":"https://doi.org/10.1016/j.eswa.2011.02.179","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.eswa.2011.02.179","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-c","cwts-core","dongbi-c","doyens","fnege-3","jufo-2","ki-jl-2","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems with Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"score":0.6000000238418579,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1557923305","https://openalex.org/W1978603136","https://openalex.org/W1980770954","https://openalex.org/W1995953281","https://openalex.org/W2019046182","https://openalex.org/W2029981389","https://openalex.org/W2036753645","https://openalex.org/W2040104239","https://openalex.org/W2059693241","https://openalex.org/W2093829413","https://openalex.org/W2097923398","https://openalex.org/W2912707296","https://openalex.org/W3149933339","https://openalex.org/W4255833381"],"related_works":["https://openalex.org/W2153426424","https://openalex.org/W2792224072","https://openalex.org/W1966528570","https://openalex.org/W2896399930","https://openalex.org/W2032453733","https://openalex.org/W2060127589","https://openalex.org/W2035491076","https://openalex.org/W2103780778","https://openalex.org/W2151456503","https://openalex.org/W2165721426"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":1}],"updated_date":"2026-09-29T14:09:16.559479","created_date":"2016-06-24T00:00:00"}