{"id":"https://openalex.org/W4398234506","doi":"https://doi.org/10.1145/3652628.3652756","title":"Exploration on Digital Economy Data Processing System under Artificial Intelligence Algorithm","display_name":"Exploration on Digital Economy Data Processing System under Artificial Intelligence Algorithm","publication_year":2023,"publication_date":"2023-11-17","ids":{"openalex":"https://openalex.org/W4398234506","doi":"https://doi.org/10.1145/3652628.3652756"},"language":"en","primary_location":{"id":"doi:10.1145/3652628.3652756","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3652628.3652756","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering","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/A5102813509","display_name":"Jingyi Zhu","orcid":"https://orcid.org/0009-0000-6437-9054"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingyi Zhu","raw_affiliation_strings":["School of Management, Shanghai University, China"],"raw_orcid":"https://orcid.org/0009-0000-6437-9054","affiliations":[{"raw_affiliation_string":"School of Management, Shanghai University, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102813509"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"767","last_page":"772"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.7904000282287598,"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"}},"topics":[{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.7904000282287598,"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"}},{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.7698000073432922,"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"}},{"id":"https://openalex.org/T10438","display_name":"Energy, Environment, Economic Growth","score":0.7522000074386597,"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":0.8044506311416626},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.696994960308075},{"id":"https://openalex.org/keywords/digital-economy","display_name":"Digital economy","score":0.4799002408981323},{"id":"https://openalex.org/keywords/data-processing-system","display_name":"Data processing system","score":0.4723069667816162},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4623469412326813},{"id":"https://openalex.org/keywords/digital-data","display_name":"Digital data","score":0.44268733263015747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4205187261104584},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40793099999427795},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39852577447891235},{"id":"https://openalex.org/keywords/data-transmission","display_name":"Data transmission","score":0.24349024891853333},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1873425543308258}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8044506311416626},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.696994960308075},{"id":"https://openalex.org/C203043789","wikidata":"https://www.wikidata.org/wiki/Q138461","display_name":"Digital economy","level":2,"score":0.4799002408981323},{"id":"https://openalex.org/C112118009","wikidata":"https://www.wikidata.org/wiki/Q4925872","display_name":"Data processing system","level":2,"score":0.4723069667816162},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4623469412326813},{"id":"https://openalex.org/C2778864079","wikidata":"https://www.wikidata.org/wiki/Q173285","display_name":"Digital data","level":3,"score":0.44268733263015747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4205187261104584},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40793099999427795},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39852577447891235},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.24349024891853333},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1873425543308258},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3652628.3652756","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3652628.3652756","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2982328534","https://openalex.org/W3000717044","https://openalex.org/W3197307613","https://openalex.org/W3203480152","https://openalex.org/W4200217938","https://openalex.org/W4289766500","https://openalex.org/W4378551036"],"related_works":["https://openalex.org/W4200075857","https://openalex.org/W1154348509","https://openalex.org/W3213976470","https://openalex.org/W2357692412","https://openalex.org/W2248750734","https://openalex.org/W3091545872","https://openalex.org/W2971634122","https://openalex.org/W3173687280","https://openalex.org/W155022009","https://openalex.org/W2202761083"],"abstract_inverted_index":{"In":[0,50],"the":[1,11,19,35,52,87,100,108,114,156,168,173,188,202],"digital":[2,110,119,145,174,203],"economy":[3,120,146,175],"data":[4,7,22,93,104,121,147,176,205],"processing,":[5,122,136],"traditional":[6],"processing":[8,94,105,128,148,177,189,206],"methods":[9],"face":[10],"challenge":[12],"of":[13,21,37,89,92,107,116,153,165,172,184,197],"relying":[14],"on":[15,60,81,99,127,209],"manual":[16,41],"intervention":[17],"and":[18,29,47,66,73,77,103,112,129,137],"risk":[20],"leakage.":[23],"Data":[24],"is":[25],"threatened":[26],"during":[27],"transmission":[28],"storage,":[30],"which":[31],"can":[32,43,63,74],"lead":[33,44],"to":[34,45,79],"leakage":[36],"sensitive":[38],"information,":[39],"while":[40,187],"operations":[42],"errors":[46],"low":[48],"efficiency.":[49],"contrast,":[51],"LSTM":[53,117,210],"(Long":[54],"Short":[55],"Term":[56],"Memory)":[57],"algorithm":[58],"based":[59,208],"artificial":[61],"intelligence":[62],"effectively":[64],"capture":[65],"process":[67],"long-term":[68],"dependencies":[69],"in":[70,118],"sequential":[71],"data,":[72,133],"automatically":[75],"learn":[76],"adapt":[78],"patterns":[80],"different":[82,163],"time":[83,131],"scales,":[84],"thus":[85],"promoting":[86],"development":[88,101],"a":[90,144],"series":[91,132],"methods.":[95],"Through":[96,150],"relevant":[97],"research":[98],"background":[102],"needs":[106],"current":[109],"economy,":[111],"with":[113,124],"application":[115,213],"combined":[123],"specific":[125],"instructions":[126],"predicting":[130],"natural":[134],"language":[135],"user":[138],"behavior":[139],"analysis,":[140],"this":[141],"paper":[142],"designed":[143],"system.":[149],"two":[151],"sets":[152],"simulation":[154],"experiments,":[155],"following":[157],"conclusion":[158],"was":[159],"drawn:":[160],"selecting":[161],"six":[162],"types":[164],"dataset":[166],"samples,":[167],"accuracy":[169],"evaluation":[170,191],"index":[171,192],"optimization":[178],"system":[179,207],"improved":[180,193],"by":[181,194],"an":[182,195],"average":[183,196],"about":[185],"9.8%,":[186],"speed":[190],"17.85%.":[198],"This":[199],"indicated":[200],"that":[201],"economic":[204],"has":[211],"good":[212],"effects.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}