{"id":"https://openalex.org/W2027779038","doi":"https://doi.org/10.1109/icmlc.2012.6358968","title":"Comparative study of financial distress prediction via op timized SVM","display_name":"Comparative study of financial distress prediction via op timized SVM","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2027779038","doi":"https://doi.org/10.1109/icmlc.2012.6358968","mag":"2027779038"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2012.6358968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2012.6358968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Conference on Machine Learning and Cybernetics","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/A5109243919","display_name":"Chunmei Liu","orcid":"https://orcid.org/0000-0002-1581-7684"},"institutions":[{"id":"https://openalex.org/I41208885","display_name":"Harbin University of Commerce","ror":"https://ror.org/03zsxkw25","country_code":"CN","type":"education","lineage":["https://openalex.org/I41208885"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chun-Mei Liu","raw_affiliation_strings":["College of Basic Sciences, Harbin University of Commerce, Harbin, China","College of Basic Sciences, Harbin University of Commerce, 150028, China"],"affiliations":[{"raw_affiliation_string":"College of Basic Sciences, Harbin University of Commerce, Harbin, China","institution_ids":["https://openalex.org/I41208885"]},{"raw_affiliation_string":"College of Basic Sciences, Harbin University of Commerce, 150028, China","institution_ids":["https://openalex.org/I41208885"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5109243919"],"corresponding_institution_ids":["https://openalex.org/I41208885"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23245452,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":null,"first_page":"466","last_page":"470"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.992900013923645,"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":0.992900013923645,"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/support-vector-machine","display_name":"Support vector machine","score":0.8933584690093994},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7154651284217834},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5940499901771545},{"id":"https://openalex.org/keywords/financial-distress","display_name":"Financial distress","score":0.5842111706733704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5700573921203613},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5568785071372986},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5437731146812439},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5362690091133118},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.423717200756073},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34695175290107727},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1693539321422577},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.07162252068519592}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8933584690093994},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7154651284217834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5940499901771545},{"id":"https://openalex.org/C2984760201","wikidata":"https://www.wikidata.org/wiki/Q1785212","display_name":"Financial distress","level":2,"score":0.5842111706733704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5700573921203613},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5568785071372986},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5437731146812439},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5362690091133118},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.423717200756073},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34695175290107727},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1693539321422577},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.07162252068519592},{"id":"https://openalex.org/C73283319","wikidata":"https://www.wikidata.org/wiki/Q1416617","display_name":"Financial system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2012.6358968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2012.6358968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321620","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1508942284","https://openalex.org/W1975827002","https://openalex.org/W1980643398","https://openalex.org/W1994583956","https://openalex.org/W1994894335","https://openalex.org/W2030242308","https://openalex.org/W2050319857","https://openalex.org/W2071153145","https://openalex.org/W2072461903","https://openalex.org/W2089695719","https://openalex.org/W2109527845","https://openalex.org/W2115726190","https://openalex.org/W2117133545","https://openalex.org/W2131452646","https://openalex.org/W6668367661"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2090763504","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W148178222","https://openalex.org/W2239445980","https://openalex.org/W1569294854","https://openalex.org/W1714970727"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,26,49,78,83],"development":[4],"and":[5,22,45,71,87,96,104],"modeling":[6],"problem":[7],"for":[8,37],"financial":[9,38,99],"distress":[10,39,100],"prediction":[11],"via":[12],"optimized":[13],"support":[14,67],"vector":[15,68],"machine":[16,69],"(SVM).":[17],"Based":[18],"on":[19],"parameters":[20],"optimization":[21],"model":[23,108],"selection":[24],"idea,":[25],"swarm":[27],"intelligence":[28],"algorithm":[29,58],"of":[30],"Particle":[31],"Swarm":[32],"Optimization":[33],"(PSO)-SVM":[34],"is":[35,59],"proposed":[36],"predicting":[40,101],"process":[41,102],"with":[42,65,109],"strong":[43],"coupling":[44],"nonlinear":[46],"characteristics":[47],"through":[48],"principle":[50],"component":[51],"analysis":[52],"(PCA).":[53],"Furthermore,":[54],"Logistic":[55],"regression":[56],"(LR)":[57],"induced":[60],"to":[61],"make":[62],"a":[63,92],"comparison":[64],"Least-Square":[66],"(LS-SVM)":[70],"PSO-SVM.":[72],"The":[73],"simulation":[74],"results":[75],"show":[76],"that":[77],"presented":[79],"algorithms":[80],"could":[81,105],"get":[82],"satisfied":[84],"accuracy":[85],"effectively,":[86],"by":[88],"contrast,":[89],"PSO-SVM":[90],"shows":[91],"better":[93,110],"learning":[94],"ability":[95],"generalization":[97],"in":[98],"modeling,":[103],"establish":[106],"predictive":[107],"accessibility.":[111]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}