{"id":"https://openalex.org/W4407396169","doi":"https://doi.org/10.1177/14727978251319200","title":"Data-driven development of entrepreneurial ecosystem based on the Apriori algorithm","display_name":"Data-driven development of entrepreneurial ecosystem based on the Apriori algorithm","publication_year":2025,"publication_date":"2025-02-12","ids":{"openalex":"https://openalex.org/W4407396169","doi":"https://doi.org/10.1177/14727978251319200"},"language":"en","primary_location":{"id":"doi:10.1177/14727978251319200","is_oa":false,"landing_page_url":"https://doi.org/10.1177/14727978251319200","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/A5101898172","display_name":"Jing Zhang","orcid":"https://orcid.org/0009-0007-7100-2782"},"institutions":[{"id":"https://openalex.org/I4210106134","display_name":"Guangzhou Vocational College of Science and Technology","ror":"https://ror.org/01dan7p53","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210106134"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["Innovation and Entrepreneurship College, Guangdong Literary & Art Vocational College, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Innovation and Entrepreneurship College, Guangdong Literary & Art Vocational College, Guangzhou, China","institution_ids":["https://openalex.org/I4210106134"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101898172"],"corresponding_institution_ids":["https://openalex.org/I4210106134"],"apc_list":null,"apc_paid":null,"fwci":2.8234,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.86672069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"25","issue":"4","first_page":"3224","last_page":"3238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10058","display_name":"Entrepreneurship Studies and Influences","score":0.9275000095367432,"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":0.9275000095367432,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/apriori-algorithm","display_name":"Apriori algorithm","score":0.9245297312736511},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.8254930377006531},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6996768116950989},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6749708652496338},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6239274740219116},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6138430237770081},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5309395790100098},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.5251728892326355},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44306546449661255},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.42651310563087463},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33636045455932617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1628597378730774},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1271631121635437}],"concepts":[{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.9245297312736511},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.8254930377006531},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6996768116950989},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6749708652496338},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6239274740219116},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6138430237770081},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5309395790100098},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5251728892326355},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44306546449661255},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.42651310563087463},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33636045455932617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1628597378730774},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1271631121635437},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/14727978251319200","is_oa":false,"landing_page_url":"https://doi.org/10.1177/14727978251319200","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":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2785796214","https://openalex.org/W2909358497","https://openalex.org/W2949127486","https://openalex.org/W2955259652","https://openalex.org/W2955398986","https://openalex.org/W2965646626","https://openalex.org/W2971379240","https://openalex.org/W2971879243","https://openalex.org/W2982650171","https://openalex.org/W2984640544","https://openalex.org/W2990069558","https://openalex.org/W2996577521","https://openalex.org/W3036723950","https://openalex.org/W3048924928","https://openalex.org/W3092028834","https://openalex.org/W3092102719","https://openalex.org/W3109640284","https://openalex.org/W3118274319","https://openalex.org/W3118492455","https://openalex.org/W3127419785","https://openalex.org/W3128170268","https://openalex.org/W3137194709","https://openalex.org/W3163897517","https://openalex.org/W3208076652","https://openalex.org/W4214836316","https://openalex.org/W4221037315","https://openalex.org/W4280506818","https://openalex.org/W4281257047","https://openalex.org/W4291178060","https://openalex.org/W4291605409","https://openalex.org/W4391928662"],"related_works":["https://openalex.org/W2390051172","https://openalex.org/W2297208791","https://openalex.org/W2367209111","https://openalex.org/W2351000793","https://openalex.org/W2366790077","https://openalex.org/W3012205960","https://openalex.org/W2348276166","https://openalex.org/W3034345083","https://openalex.org/W2607264580","https://openalex.org/W1483188779"],"abstract_inverted_index":{"Based":[0],"on":[1],"the":[2,16,50,76,87,107,135,138,149,158,172,186],"Apriori":[3,51,88],"algorithm,":[4],"a":[5,120,192],"data-driven":[6],"analysis":[7],"method":[8],"for":[9,125,198],"entrepreneurial":[10,77,108,177],"ecosystems":[11],"is":[12],"constructed,":[13],"which":[14],"solves":[15],"problems":[17],"of":[18,25,75,130,157,163,176],"serious":[19],"data":[20,45,64,187],"silos,":[21],"static":[22],"analysis,":[23,27],"lack":[24],"quantitative":[26],"insufficient":[28],"association":[29,60,100],"rule":[30],"mining,":[31],"and":[32,43,58,62,72,97,115,128,148,174,184,195],"difficulty":[33],"in":[34,38,92,106,144,167,201],"evaluating":[35],"implementation":[36],"effects":[37],"traditional":[39],"research.":[40,179],"By":[41,180],"collecting":[42],"preprocessing":[44],"from":[46],"multiple":[47],"sources,":[48,188],"using":[49],"algorithm":[52,89,182],"to":[53,67,170],"mine":[54],"frequent":[55],"item":[56,95,103],"sets":[57,96],"generate":[59],"rules,":[61],"utilizing":[63],"visualization":[65],"technology":[66],"display":[68],"results,":[69],"dynamic":[70],"monitoring":[71],"strategy":[73],"optimization":[74],"ecosystem":[78,178],"have":[79],"been":[80],"achieved.":[81],"The":[82,102,161],"experimental":[83,139],"results":[84],"show":[85],"that":[86,156],"performs":[90],"well":[91],"identifying":[93],"high-impact":[94],"generating":[98],"high-confidence":[99],"rules.":[101],"set":[104],"support":[105],"project":[109],"type":[110],"A,":[111],"high":[112,122],"investment":[113],"amount,":[114],"experienced":[116],"background":[117],"has":[118],"reached":[119],"relatively":[121],"proportion,":[123],"accounting":[124],"40%,":[126,127],"60%":[129],"their":[131],"respective":[132],"sections.":[133],"In":[134],"comparative":[136],"experiment,":[137],"group":[140],"performed":[141],"most":[142],"outstandingly":[143],"all":[145],"evaluation":[146],"indicators,":[147],"accuracy":[150],"rate":[151],"was":[152],"4%\u201323%":[153],"higher":[154],"than":[155],"control":[159],"group.":[160],"significance":[162],"this":[164,189,202],"study":[165],"lies":[166],"its":[168],"contribution":[169],"enhancing":[171],"depth":[173],"breadth":[175],"optimizing":[181],"performance":[183],"expanding":[185],"article":[190],"provides":[191],"more":[193],"scientific":[194],"comprehensive":[196],"reference":[197],"future":[199],"studies":[200],"field.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}