{"id":"https://openalex.org/W2127435698","doi":"https://doi.org/10.1109/ijcnn.2000.859421","title":"Selecting bankruptcy predictors using a support vector machine approach","display_name":"Selecting bankruptcy predictors using a support vector machine approach","publication_year":2000,"publication_date":"2000-01-01","ids":{"openalex":"https://openalex.org/W2127435698","doi":"https://doi.org/10.1109/ijcnn.2000.859421","mag":"2127435698"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2000.859421","doi":"https://doi.org/10.1109/ijcnn.2000.859421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2000.859421","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"International Joint Conference on Neural Networks (IJCNN)","issn_l":"2161-4407","issn":["2161-4407"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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":"A. Fan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"A. Fan","raw_affiliation_strings":["Department of EEE, University of Melbourne, VIC, Australia","Melbourne University, Vic., Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of EEE, University of Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"Melbourne University, Vic., Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080554686","display_name":"Marimuthu Swami Palaniswami","orcid":"https://orcid.org/0000-0002-3635-4252","observed_orcids":["https://orcid.org/0000-0002-3635-4252"]},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"M. Palaniswami","raw_affiliation_strings":["Department of EEE, University of Melbourne, VIC, Australia","Dept of EEE, Univ. of Melbourne, Vic., Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of EEE, University of Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"Dept of EEE, Univ. of Melbourne, Vic., Australia","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165779595"],"apc_list":null,"apc_paid":null,"fwci":21.6857,"has_fulltext":false,"cited_by_count":108,"citation_normalized_percentile":{"value":0.99603175,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"354","last_page":"359 vol.6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":1.0,"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":1.0,"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/T12509","display_name":"Corporate Insolvency and Governance","score":0.0,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bankruptcy-prediction","display_name":"bankruptcy prediction","score":0.9599999785423279},{"id":"https://openalex.org/keywords/corporate-financial-distress","display_name":"corporate financial distress","score":0.8479999899864197},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.9390000104904175},{"id":"https://openalex.org/keywords/predictor-variable-selection","display_name":"predictor selection","score":0.8619999885559082},{"id":"https://openalex.org/keywords/financial-statements","display_name":"financial statements","score":0.597000002861023},{"id":"https://openalex.org/keywords/neural-network-comparison","display_name":"neural network comparison","score":0.6669999957084656}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8582686185836792},{"id":"https://openalex.org/C504631918","wikidata":"https://www.wikidata.org/wiki/Q152074","display_name":"Bankruptcy","level":2,"score":0.750380277633667},{"id":"https://openalex.org/C2984760201","wikidata":"https://www.wikidata.org/wiki/Q1785212","display_name":"Financial distress","level":2,"score":0.7435694932937622},{"id":"https://openalex.org/C2777388754","wikidata":"https://www.wikidata.org/wiki/Q1664594","display_name":"Bankruptcy prediction","level":3,"score":0.6288437843322754},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.6268094778060913},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5822848081588745},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5657350420951843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5552522540092468},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5385826826095581},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5216410756111145},{"id":"https://openalex.org/C145828037","wikidata":"https://www.wikidata.org/wiki/Q17086219","display_name":"Least squares support vector machine","level":3,"score":0.44065096974372864},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.41930773854255676},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.370431125164032},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3569808602333069},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20521685481071472},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.143943190574646},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.13401171565055847},{"id":"https://openalex.org/C73283319","wikidata":"https://www.wikidata.org/wiki/Q1416617","display_name":"Financial system","level":1,"score":0.08908501267433167},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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:10.1109/ijcnn.2000.859421","doi":"https://doi.org/10.1109/ijcnn.2000.859421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2000.859421","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"International Joint Conference on Neural Networks (IJCNN)","issn_l":"2161-4407","issn":["2161-4407"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"display_name":"Partnerships for the goals","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/17"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W18301285","https://openalex.org/W1504180735","https://openalex.org/W1548139318","https://openalex.org/W1562345870","https://openalex.org/W1987675493","https://openalex.org/W1991848143","https://openalex.org/W2020848494","https://openalex.org/W2043089652","https://openalex.org/W2048801439","https://openalex.org/W2064031858","https://openalex.org/W2124532504","https://openalex.org/W2124776405","https://openalex.org/W2156909104","https://openalex.org/W2490800645","https://openalex.org/W3036512766"],"related_works":["https://openalex.org/W2013822762","https://openalex.org/W2115682519","https://openalex.org/W1956944420","https://openalex.org/W2359798061","https://openalex.org/W2154667020","https://openalex.org/W2077791120","https://openalex.org/W2154945267","https://openalex.org/W2117250158","https://openalex.org/W7071720900","https://openalex.org/W2035365877"],"abstract_inverted_index":{"The":[0],"conventional":[1],"neural":[2],"network":[3],"approach":[4,23],"has":[5],"been":[6],"found":[7],"useful":[8],"in":[9],"predicting":[10],"corporate":[11,54],"distress":[12,55],"from":[13],"financial":[14],"statements.":[15],"We":[16],"have":[17],"adapted":[18],"a":[19],"support":[20],"vector":[21],"machine":[22],"to":[24],"the":[25,36,43,63],"problem.":[26],"A":[27,46],"way":[28],"of":[29],"selecting":[30],"bankruptcy":[31],"predictors":[32],"is":[33,49],"shown,":[34],"using":[35,51],"Euclidean":[37],"distance":[38],"based":[39,61],"criterion":[40],"calculated":[41],"within":[42],"SVM":[44,64],"kernel.":[45],"comparative":[47],"study":[48],"provided":[50],"three":[52],"classical":[53],"models":[56],"and":[57],"an":[58],"alternative":[59],"model":[60],"on":[62],"approach.":[65]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":5}],"updated_date":"2026-10-26T11:51:55.731654","created_date":"2016-06-24T00:00:00"}
