{"id":"https://openalex.org/W4401635568","doi":"https://doi.org/10.3233/jcm-247556","title":"Refining and implementing of a decision tree based risk assessment model for college students\u2019 innovation and entrepreneurship","display_name":"Refining and implementing of a decision tree based risk assessment model for college students\u2019 innovation and entrepreneurship","publication_year":2024,"publication_date":"2024-08-14","ids":{"openalex":"https://openalex.org/W4401635568","doi":"https://doi.org/10.3233/jcm-247556"},"language":"en","primary_location":{"id":"doi:10.3233/jcm-247556","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-247556","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-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/A5113337405","display_name":"Jin Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jin Xu","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5113337405"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22079227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":"4-5","first_page":"3093","last_page":"3111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10058","display_name":"Entrepreneurship Studies and Influences","score":0.9243999719619751,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"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/T10058","display_name":"Entrepreneurship Studies and Influences","score":0.9243999719619751,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9169999957084656,"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/entrepreneurship","display_name":"Entrepreneurship","score":0.7729965448379517},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6330181956291199},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.616047203540802},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.4998781681060791},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.49876999855041504},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.485477477312088},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4815143048763275},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.47073280811309814},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4312431216239929},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3440522849559784},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.331045001745224},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.24754074215888977},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19660812616348267},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09846445918083191}],"concepts":[{"id":"https://openalex.org/C84309077","wikidata":"https://www.wikidata.org/wiki/Q3908516","display_name":"Entrepreneurship","level":2,"score":0.7729965448379517},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6330181956291199},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.616047203540802},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.4998781681060791},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.49876999855041504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.485477477312088},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4815143048763275},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.47073280811309814},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4312431216239929},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3440522849559784},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.331045001745224},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.24754074215888977},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19660812616348267},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09846445918083191},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jcm-247556","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-247556","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2789251890","https://openalex.org/W2790470413","https://openalex.org/W2791189603","https://openalex.org/W2888653833","https://openalex.org/W2896307560","https://openalex.org/W2908445743","https://openalex.org/W2919057183","https://openalex.org/W2939984658","https://openalex.org/W2941951094","https://openalex.org/W2944979876","https://openalex.org/W2946746912","https://openalex.org/W2948284875","https://openalex.org/W2949590100","https://openalex.org/W2966165716","https://openalex.org/W2981922997","https://openalex.org/W2993945408","https://openalex.org/W3009157463","https://openalex.org/W3009294386","https://openalex.org/W3032680135","https://openalex.org/W3033250580","https://openalex.org/W3035161663","https://openalex.org/W3038075357","https://openalex.org/W3095942193","https://openalex.org/W3106795509","https://openalex.org/W3148181069","https://openalex.org/W4206494562","https://openalex.org/W4289014326","https://openalex.org/W4318815798","https://openalex.org/W4321846477","https://openalex.org/W6755740108","https://openalex.org/W6769550350","https://openalex.org/W6786133925"],"related_works":["https://openalex.org/W2120319084","https://openalex.org/W3131369765","https://openalex.org/W2128808669","https://openalex.org/W362717345","https://openalex.org/W1577608175","https://openalex.org/W1480419490","https://openalex.org/W1566212037","https://openalex.org/W4285312748","https://openalex.org/W2157743338","https://openalex.org/W3203767529"],"abstract_inverted_index":{"This":[0,36],"study":[1],"introduces":[2],"a":[3,119,190],"novel":[4],"risk":[5,48,144,171,184],"assessment":[6,145],"model":[7,127,161],"for":[8,169],"university":[9],"student":[10,72],"innovation":[11,73,176],"and":[12,32,45,68,74,79,110,118,136,140,143,177,179],"entrepreneurship,":[13,178],"grounded":[14],"in":[15,28,50,189],"decision":[16],"tree":[17],"(DT)":[18],"methodology.":[19],"It":[20],"tackles":[21],"the":[22,43,51,58,80,87,105,108,111,158,170,183],"challenges":[23],"faced":[24],"by":[25,100],"traditional":[26],"models":[27],"merging":[29],"multi-source":[30],"data":[31,76,82],"understanding":[33],"nonlinear":[34],"relationships.":[35],"advanced":[37],"approach":[38],"aims":[39],"to":[40,85,103,148],"enhance":[41],"both":[42],"precision":[44],"reliability":[46],"of":[47,53,61,107,115,167,173,185],"evaluations":[49],"context":[52],"student-led":[54],"entrepreneurial":[55,62,64,66,150,187,192],"ventures.":[56],"From":[57],"four":[59],"dimensions":[60],"environment,":[63],"education,":[65],"groups,":[67],"entrepreneurs,":[69],"relevant":[70,89],"college":[71,174],"entrepreneurship":[75],"was":[77,83,98,122,128,146],"collected,":[78],"collected":[81],"preprocessed":[84],"select":[86],"most":[88],"feature":[90],"from":[91],"all":[92],"available":[93],"features.":[94],"The":[95,124,153],"C4.5":[96,126,141,160],"algorithm":[97],"optimized":[99,125,159],"cross":[101],"validation":[102],"determine":[104],"depth":[106],"number":[109],"minimum":[112],"sample":[113],"size":[114],"leaf":[116],"nodes,":[117],"post-pruning":[120],"strategy":[121],"adopted.":[123],"compared":[129],"with":[130],"Iterative":[131],"Dichotomiser":[132],"3":[133],"(ID3),":[134],"Classification":[135],"Regression":[137],"Trees":[138],"(CART),":[139],"model,":[142],"applied":[147],"three":[149],"plan":[151],"instances.":[152],"experimental":[154],"findings":[155],"indicated":[156],"that":[157],"had":[162],"an":[163],"average":[164],"accuracy":[165],"rate":[166],"90.7%":[168],"classification":[172],"students\u2019":[175],"could":[180],"accurately":[181],"assess":[182],"multiple":[186],"conditions":[188],"comprehensive":[191],"plan.":[193]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
