{"id":"https://openalex.org/W2045314657","doi":"https://doi.org/10.1016/j.procs.2012.04.145","title":"Credit risk evaluation modeling using evolutionary linear SVM classifiers and sliding window approach","display_name":"Credit risk evaluation modeling using evolutionary linear SVM classifiers and sliding window approach","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W2045314657","doi":"https://doi.org/10.1016/j.procs.2012.04.145","mag":"2045314657"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2012.04.145","doi":"https://doi.org/10.1016/j.procs.2012.04.145","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2012.04.145","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2012.04.145","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040640124","display_name":"Paulius Dan\u0117nas","orcid":"https://orcid.org/0000-0002-2054-0624","observed_orcids":["https://orcid.org/0000-0002-2054-0624"]},"institutions":[{"id":"https://openalex.org/I173212132","display_name":"Vilnius University","ror":"https://ror.org/03nadee84","country_code":"LT","type":"education","lineage":["https://openalex.org/I173212132"]}],"countries":["LT"],"is_corresponding":false,"raw_author_name":"Paulius Danenas","raw_affiliation_strings":["Department of Informatics, Kaunas Faculty, Vilnius University, Muitines St. 8, LT- 44280 Kaunas, Lithuania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Kaunas Faculty, Vilnius University, Muitines St. 8, LT- 44280 Kaunas, Lithuania","institution_ids":["https://openalex.org/I173212132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088834325","display_name":"Gintautas Gar\u0161va","orcid":"https://orcid.org/0000-0003-0003-0878","observed_orcids":["https://orcid.org/0000-0003-0003-0878"]},"institutions":[{"id":"https://openalex.org/I173212132","display_name":"Vilnius University","ror":"https://ror.org/03nadee84","country_code":"LT","type":"education","lineage":["https://openalex.org/I173212132"]}],"countries":["LT"],"is_corresponding":false,"raw_author_name":"Gintautas Garsva","raw_affiliation_strings":["Department of Informatics, Kaunas Faculty, Vilnius University, Muitines St. 8, LT- 44280 Kaunas, Lithuania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Kaunas Faculty, Vilnius University, Muitines St. 8, LT- 44280 Kaunas, Lithuania","institution_ids":["https://openalex.org/I173212132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I173212132"],"apc_list":null,"apc_paid":null,"fwci":16.2726,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.98879367,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":null,"first_page":"1324","last_page":"1333"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9984999895095825,"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":0.9984999895095825,"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":0.00039999998989515007,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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-risk-assessment","display_name":"credit risk assessment","score":0.9729999899864197},{"id":"https://openalex.org/keywords/linear-support-vector-machine","display_name":"linear support vector machine","score":0.8849999904632568},{"id":"https://openalex.org/keywords/genetic-algorithm-parameter-selection","display_name":"genetic algorithm parameter selection","score":0.656000018119812},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"particle swarm optimization","score":0.9990000128746033},{"id":"https://openalex.org/keywords/sliding-window","display_name":"sliding window","score":0.8199999928474426},{"id":"https://openalex.org/keywords/bankruptcy-prediction","display_name":"bankruptcy prediction","score":0.7599999904632568},{"id":"https://openalex.org/keywords/discriminant-analysis","display_name":"discriminant analysis","score":0.949999988079071},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.8569999933242798},{"id":"https://openalex.org/keywords/financial-data-classification","display_name":"financial data classification","score":0.5879999995231628}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8785903453826904},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7344748973846436},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.7200290560722351},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49816083908081055},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4689438045024872},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3708568811416626},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.3677562177181244},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.05644381046295166}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2012.04.145","doi":"https://doi.org/10.1016/j.procs.2012.04.145","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2012.04.145","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2012.04.145","doi":"https://doi.org/10.1016/j.procs.2012.04.145","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2012.04.145","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1510132961","https://openalex.org/W1514659405","https://openalex.org/W1516234411","https://openalex.org/W1526455201","https://openalex.org/W1551388824","https://openalex.org/W1660672390","https://openalex.org/W2002579289","https://openalex.org/W2006680549","https://openalex.org/W2041052774","https://openalex.org/W2048801439","https://openalex.org/W2058508414","https://openalex.org/W2074864926","https://openalex.org/W2113327465","https://openalex.org/W2118585731","https://openalex.org/W2123610749","https://openalex.org/W2124532504","https://openalex.org/W2156909104","https://openalex.org/W2163694033","https://openalex.org/W2166517463","https://openalex.org/W2392243757","https://openalex.org/W2798741797","https://openalex.org/W3103913776","https://openalex.org/W4230674625"],"related_works":["https://openalex.org/W145021812","https://openalex.org/W2058508414","https://openalex.org/W2083352970","https://openalex.org/W1514659405","https://openalex.org/W2399040636","https://openalex.org/W2605505612","https://openalex.org/W1594319898","https://openalex.org/W2039743912","https://openalex.org/W2511505265","https://openalex.org/W2283887727"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,66],"study":[4],"on":[5,76],"credit":[6],"risk":[7],"evaluation":[8,38,81],"modeling":[9],"using":[10,22],"linear":[11],"Support":[12],"Vector":[13],"Machines":[14],"(SVM)":[15],"classifiers,":[16],"combined":[17],"with":[18],"evolutionary":[19],"parameter":[20],"selection":[21,52],"Genetic":[23],"Algorithms":[24],"and":[25,29,42,70,82],"Particle":[26],"Swarm":[27],"Optimization,":[28],"sliding":[30],"window":[31],"approach.":[32],"Discriminant":[33],"analysis":[34,79],"was":[35],"applied":[36],"for":[37],"of":[39,45,50],"financial":[40],"instances":[41],"dynamic":[43],"formation":[44],"bankruptcy":[46,88],"classes.":[47],"The":[48,63],"possibilities":[49],"feature":[51,60],"application":[53],"were":[54],"also":[55],"researched":[56],"by":[57],"applying":[58],"correlation-based":[59],"subset":[61],"evaluator.":[62],"research":[64],"demonstrates":[65],"possibility":[67],"to":[68],"develop":[69],"apply":[71],"an":[72],"intelligent":[73],"classifier":[74],"based":[75],"original":[77,92],"discriminant":[78],"method":[80],"shows":[83],"that":[84],"it":[85],"might":[86],"perform":[87],"identification":[89],"better":[90],"than":[91],"model.":[93]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-08T09:06:37.294493","created_date":"2016-06-24T00:00:00"}
