{"id":"https://openalex.org/W4402303310","doi":"https://doi.org/10.1109/ifuzzy63051.2024.10662884","title":"Research on Financial Big Data Collection and Intelligent Decision-Making System Based on Multimodal Large Language Model","display_name":"Research on Financial Big Data Collection and Intelligent Decision-Making System Based on Multimodal Large Language Model","publication_year":2024,"publication_date":"2024-08-10","ids":{"openalex":"https://openalex.org/W4402303310","doi":"https://doi.org/10.1109/ifuzzy63051.2024.10662884"},"language":"en","primary_location":{"id":"doi:10.1109/ifuzzy63051.2024.10662884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifuzzy63051.2024.10662884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","raw_type":"proceedings-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/A5055440106","display_name":"Yiping Jiang","orcid":"https://orcid.org/0009-0002-8427-6225"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiping Jiang","raw_affiliation_strings":["Guangdong University of Science and Technology,GUST,Dongguan,China"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Science and Technology,GUST,Dongguan,China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022275027","display_name":"Zhijing Li","orcid":"https://orcid.org/0000-0002-2066-9874"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijing Li","raw_affiliation_strings":["Guangdong University of Science and Technology,GUST,Dongguan,China"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Science and Technology,GUST,Dongguan,China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643265","display_name":"C. L. Philip Chen","orcid":"https://orcid.org/0000-0001-5451-7230"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"C. L. Philip Chen","raw_affiliation_strings":["School of Computer Science, South China University of Technology,SCUT,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China University of Technology,SCUT,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055440106"],"corresponding_institution_ids":["https://openalex.org/I2799850029"],"apc_list":null,"apc_paid":null,"fwci":1.5523,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.84516866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9258000254631042,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9258000254631042,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7176811099052429},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.48110073804855347},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.46832185983657837},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4444687068462372},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37152066826820374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.365306556224823},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.21720275282859802},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.20039412379264832}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7176811099052429},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.48110073804855347},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.46832185983657837},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4444687068462372},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37152066826820374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.365306556224823},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.21720275282859802},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20039412379264832},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ifuzzy63051.2024.10662884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifuzzy63051.2024.10662884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.75,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2108646579","https://openalex.org/W2619383789","https://openalex.org/W2782499990","https://openalex.org/W2889143811","https://openalex.org/W2981078461","https://openalex.org/W2987794387","https://openalex.org/W3030163527","https://openalex.org/W3117588383","https://openalex.org/W3165553112","https://openalex.org/W4292779060","https://openalex.org/W4319083788","https://openalex.org/W4388994251","https://openalex.org/W4390838178"],"related_works":["https://openalex.org/W4322629366","https://openalex.org/W2808989540","https://openalex.org/W2397053934","https://openalex.org/W1039292361","https://openalex.org/W2551093110","https://openalex.org/W2148016376","https://openalex.org/W4237919137","https://openalex.org/W3184179822","https://openalex.org/W3095362084","https://openalex.org/W3003361536"],"abstract_inverted_index":{"With":[0],"the":[1,7,70,73,79,91,97,107,164,167,176],"explosive":[2],"growth":[3],"of":[4,15,62,93,99,110,170,178],"data":[5,17,30,80,94,116],"in":[6,85,112,123,175],"financial":[8,28,63,87,179,189],"industry,":[9],"efficient":[10],"collection,":[11],"analysis,":[12,57],"and":[13,32,60,82,96,117,133,141,156,160],"utilization":[14],"this":[16,162],"have":[18],"become":[19],"urgent":[20],"challenges.":[21],"This":[22],"study":[23,165],"aims":[24],"to":[25,50,78,105],"develop":[26],"a":[27,131,183],"big":[29,64,180],"collection":[31,81],"intelligent":[33,58,188],"decision-making":[34],"system":[35,44,74,129],"based":[36,137],"on":[37,69,138],"multimodal":[38,171],"large":[39,172],"language":[40,173],"models":[41,174],"(MM-LLM).":[42],"The":[43,128],"utilizes":[45],"Google's":[46],"AI":[47],"mega-model,":[48],"Gemini,":[49,154],"achieve":[51],"functionalities":[52],"such":[53,144],"as":[54,145],"classification,":[55],"retrieval,":[56],"evaluation,":[59],"recommendation":[61],"data.":[65],"Through":[66],"parameter":[67],"configuration":[68],"management":[71],"side,":[72],"can":[75],"flexibly":[76],"adapt":[77],"analysis":[83],"needs":[84],"different":[86],"scenarios,":[88],"significantly":[89],"improving":[90],"efficiency":[92],"processing":[95],"accuracy":[98],"decision-making.":[100],"Innovative":[101],"solutions":[102],"are":[103],"provided":[104],"address":[106],"specific":[108],"requirements":[109],"investors":[111],"analyzing":[113],"vast":[114,168],"announcement":[115],"evaluating":[118],"individual":[119],"stocks,":[120],"assisting":[121],"them":[122],"making":[124],"wiser":[125],"investment":[126],"decisions.":[127],"adopts":[130],"front-end":[132],"back-end":[134],"separation":[135],"architecture,":[136],"distributed":[139],"microservices,":[140],"integrates":[142],"technologies":[143],"Vue3,":[146],"Springboot,":[147],"Nacos,":[148],"Dubbo,":[149],"Redis":[150],"cluster,":[151],"MySQL,":[152],"Elasticsearch,":[153],"Ansj,":[155],"Kafka.":[157],"By":[158],"developing":[159],"applying":[161],"system,":[163],"demonstrates":[166],"potential":[169],"field":[177],"data,":[181],"laying":[182],"solid":[184],"foundation":[185],"for":[186],"future":[187],"decision-making,":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}