{"id":"https://openalex.org/W4401364168","doi":"https://doi.org/10.1007/s44196-024-00608-3","title":"Construction of Risk Prediction Models for Enterprise Finance Sharing Operations Using K-Means and C4.5 Algorithms","display_name":"Construction of Risk Prediction Models for Enterprise Finance Sharing Operations Using K-Means and C4.5 Algorithms","publication_year":2024,"publication_date":"2024-08-06","ids":{"openalex":"https://openalex.org/W4401364168","doi":"https://doi.org/10.1007/s44196-024-00608-3"},"language":"en","primary_location":{"id":"doi:10.1007/s44196-024-00608-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-024-00608-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-024-00608-3.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44196-024-00608-3.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103859444","display_name":"Chun Pan","orcid":"https://orcid.org/0009-0003-6797-0829"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chun Pan","raw_affiliation_strings":["Faculty of Economics and Management, Changjiang Institute of Technology, Wuhan, 430212, China"],"raw_orcid":"https://orcid.org/0009-0003-6797-0829","affiliations":[{"raw_affiliation_string":"Faculty of Economics and Management, Changjiang Institute of Technology, Wuhan, 430212, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5103859444"],"corresponding_institution_ids":[],"apc_list":{"value":2090,"currency":"USD","value_usd":2090},"apc_paid":{"value":2090,"currency":"USD","value_usd":2090},"fwci":5.6455,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.96227829,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"17","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.9621999859809875,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.9621999859809875,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.951200008392334,"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/T12394","display_name":"Insurance and Financial Risk Management","score":0.9409999847412109,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6832151412963867},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5015180110931396},{"id":"https://openalex.org/keywords/risk-management","display_name":"Risk management","score":0.4835169315338135},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41609370708465576},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.4119723439216614},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.363042414188385},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3203437626361847},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27591878175735474},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.15850326418876648}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6832151412963867},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5015180110931396},{"id":"https://openalex.org/C32896092","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Risk management","level":2,"score":0.4835169315338135},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41609370708465576},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.4119723439216614},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.363042414188385},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3203437626361847},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27591878175735474},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.15850326418876648}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44196-024-00608-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-024-00608-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-024-00608-3.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1ac2207e516d4e63abfb6eb0ba6a0335","is_oa":false,"landing_page_url":"https://doaj.org/article/1ac2207e516d4e63abfb6eb0ba6a0335","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-13 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44196-024-00608-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-024-00608-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-024-00608-3.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401364168.pdf"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1998895243","https://openalex.org/W2104285855","https://openalex.org/W2912002915","https://openalex.org/W2920262844","https://openalex.org/W2970591347","https://openalex.org/W2989375212","https://openalex.org/W3038053636","https://openalex.org/W3045793624","https://openalex.org/W3083188362","https://openalex.org/W3094089098","https://openalex.org/W3109970324","https://openalex.org/W3122905134","https://openalex.org/W3165484039","https://openalex.org/W3174514786","https://openalex.org/W4225302726","https://openalex.org/W4225742508","https://openalex.org/W4226396724","https://openalex.org/W4226524783","https://openalex.org/W4280633265","https://openalex.org/W4288063690","https://openalex.org/W4311076230","https://openalex.org/W4324125683","https://openalex.org/W4327651140","https://openalex.org/W4367163804","https://openalex.org/W4381618166"],"related_works":["https://openalex.org/W1923764247","https://openalex.org/W2114208415","https://openalex.org/W2369233745","https://openalex.org/W2125534874","https://openalex.org/W2611614597","https://openalex.org/W2313821829","https://openalex.org/W2619501344","https://openalex.org/W4386500624","https://openalex.org/W2899303483","https://openalex.org/W4240788009"],"abstract_inverted_index":{"Abstract":[0],"The":[1,106],"evaluation":[2,48,66],"of":[3,64,71,115,128,150],"financial":[4,13,37,136,152],"sharing":[5,38,137,153],"centres":[6],"in":[7,119,133],"enterprises":[8],"typically":[9],"relies":[10],"on":[11,41],"outdated":[12],"data,":[14],"lacks":[15],"comprehensive":[16,88],"assessment,":[17],"and":[18,49,62,97,103,117,122,131,142,148],"presents":[19],"risks":[20],"such":[21],"as":[22],"employee":[23,55,82],"misconduct.":[24],"To":[25],"address":[26],"these":[27],"challenges,":[28],"we":[29],"propose":[30],"a":[31],"risk":[32,73,93,108],"prediction":[33,109],"model":[34,110,132],"for":[35,46,53,144],"enterprise":[36,151],"operations":[39],"based":[40],"the":[42,50,60,69,78,120,146],"K-means":[43,79],"clustering":[44],"algorithm":[45,52,80],"performance":[47,65,83,89],"C4.5":[51],"managing":[54],"risks.":[56],"Our":[57],"approach":[58],"enhances":[59],"accuracy":[61,96,113],"objectivity":[63],"while":[67],"improving":[68],"efficiency":[70],"personnel":[72],"management.":[74],"Results":[75],"indicate":[76],"that":[77],"classifies":[81],"into":[84],"five":[85],"levels,":[86],"facilitating":[87],"evaluation.":[90],"Furthermore,":[91],"through":[92],"management":[94,149],"optimisation,":[95],"recall":[98],"rates":[99,114],"increase":[100],"to":[101],"0.905":[102],"0.890,":[104],"respectively.":[105,125],"proposed":[107],"achieves":[111],"high":[112],"90.5%":[116],"92.4%":[118],"training":[121],"test":[123],"sets,":[124],"Practical":[126],"application":[127],"our":[129],"methodology":[130],"A":[134],"Group's":[135],"centre":[138],"demonstrates":[139],"their":[140],"effectiveness":[141],"potential":[143],"enhancing":[145],"operation":[147],"centres.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
