{"id":"https://openalex.org/W4409868953","doi":"https://doi.org/10.1145/3718751.3718865","title":"Empirical Study on Optimizing Regional Economic Development Strategy Using Machine Learning Algorithms","display_name":"Empirical Study on Optimizing Regional Economic Development Strategy Using Machine Learning Algorithms","publication_year":2024,"publication_date":"2024-11-15","ids":{"openalex":"https://openalex.org/W4409868953","doi":"https://doi.org/10.1145/3718751.3718865"},"language":"en","primary_location":{"id":"doi:10.1145/3718751.3718865","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3718751.3718865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 4th International Conference on Big Data, Artificial Intelligence and Risk Management","raw_type":"proceedings-article"},"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":"https://openalex.org/A5103843064","display_name":"Yong Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I159665162","display_name":"National Institute of Development Administration","ror":"https://ror.org/010g30191","country_code":"TH","type":"education","lineage":["https://openalex.org/I159665162"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Yong Yin","raw_affiliation_strings":["Graduate School of Development Economics, National Institute of Development Administration, Bangkok, Thailand","School of Financial Management, Gingko College of Hospitality Management, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0009-0000-2234-2018","affiliations":[{"raw_affiliation_string":"Graduate School of Development Economics, National Institute of Development Administration, Bangkok, Thailand","institution_ids":["https://openalex.org/I159665162"]},{"raw_affiliation_string":"School of Financial Management, Gingko College of Hospitality Management, Chengdu, Sichuan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107599860","display_name":"Dong-Yu Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dongyu Zhang","raw_affiliation_strings":["Chengdu Pidu District Anjing School, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0009-0004-9414-5012","affiliations":[{"raw_affiliation_string":"Chengdu Pidu District Anjing School, Chengdu, Sichuan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072307226","display_name":"Feiren Wen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feiren Wen","raw_affiliation_strings":["School of Financial Management, Gingko College of Hospitality Management, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0009-0004-5018-4028","affiliations":[{"raw_affiliation_string":"School of Financial Management, Gingko College of Hospitality Management, Chengdu, Sichuan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114129008","display_name":"He Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He Huang","raw_affiliation_strings":["School of Financial Management, Gingko College of Hospitality Management, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0009-0000-9514-3087","affiliations":[{"raw_affiliation_string":"School of Financial Management, Gingko College of Hospitality Management, Chengdu, Sichuan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089349651","display_name":"Yueran Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yueran Xu","raw_affiliation_strings":["School of Financial Management, Gingko College of Hospitality Management, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0009-0005-1052-5198","affiliations":[{"raw_affiliation_string":"School of Financial Management, Gingko College of Hospitality Management, Chengdu, Sichuan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"709","last_page":"715"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12368","display_name":"Grey System Theory Applications","score":0.803600013256073,"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/T12368","display_name":"Grey System Theory Applications","score":0.803600013256073,"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/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.7832000255584717,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.7128999829292297,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6901344060897827},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4485156834125519},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.44266873598098755},{"id":"https://openalex.org/keywords/development","display_name":"Development (topology)","score":0.41785550117492676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4169135093688965},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3930871784687042},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10225775837898254}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6901344060897827},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4485156834125519},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.44266873598098755},{"id":"https://openalex.org/C2776542497","wikidata":"https://www.wikidata.org/wiki/Q5266672","display_name":"Development (topology)","level":2,"score":0.41785550117492676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4169135093688965},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3930871784687042},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10225775837898254},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3718751.3718865","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3718751.3718865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 4th International Conference on Big Data, Artificial Intelligence and Risk Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W3037252073","https://openalex.org/W3202397281","https://openalex.org/W4285228770","https://openalex.org/W4313367369","https://openalex.org/W4319157962"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"In":[0],"the":[1,7,31,75,105,121],"contemporary":[2],"landscape":[3],"of":[4,9,33,60,96,104,107],"economic":[5,20,40,48,91,118],"development,":[6],"integration":[8],"machine":[10,34,61,108],"learning":[11,35,62,109],"algorithms":[12,36],"presents":[13],"a":[14,58,101],"promising":[15],"avenue":[16],"for":[17],"refining":[18],"regional":[19,39,53,90,122],"strategies.":[21,42,93],"This":[22],"study":[23,76,98],"embarks":[24],"on":[25],"an":[26],"empirical":[27],"investigation":[28],"to":[29,78,88,100],"explore":[30],"efficacy":[32],"in":[37,110],"optimizing":[38],"development":[41,92],"By":[43],"leveraging":[44],"diverse":[45],"datasets":[46],"encompassing":[47],"indicators,":[49],"demographic":[50],"information,":[51],"and":[52,67,73,84,115],"characteristics,":[54],"this":[55,97],"research":[56],"employs":[57],"range":[59],"techniques":[63],"including":[64],"clustering,":[65],"regression,":[66],"predictive":[68],"modeling.":[69],"Through":[70],"rigorous":[71],"analysis":[72],"evaluation,":[74],"seeks":[77],"discern":[79],"patterns,":[80],"identify":[81],"key":[82],"determinants,":[83],"formulate":[85],"actionable":[86],"insights":[87],"enhance":[89],"The":[94],"findings":[95],"contribute":[99],"deeper":[102],"understanding":[103],"potential":[106],"informing":[111],"evidence-based":[112],"policy":[113],"decisions":[114],"fostering":[116],"sustainable":[117],"growth":[119],"at":[120],"level.":[123]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}