{"id":"https://openalex.org/W3011678110","doi":"https://doi.org/10.1109/gcwkshps45667.2019.9024410","title":"CIFT: Connected Intelligent Fund Transaction System Based on Deep Learning","display_name":"CIFT: Connected Intelligent Fund Transaction System Based on Deep Learning","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3011678110","doi":"https://doi.org/10.1109/gcwkshps45667.2019.9024410","mag":"3011678110"},"language":"en","primary_location":{"id":"doi:10.1109/gcwkshps45667.2019.9024410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps45667.2019.9024410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Globecom Workshops (GC Wkshps)","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/A5101455287","display_name":"Gang Hu","orcid":"https://orcid.org/0000-0003-4916-3460"},"institutions":[{"id":"https://openalex.org/I158934434","display_name":"Zhongnan University of Economics and Law","ror":"https://ror.org/04yqxxq63","country_code":"CN","type":"education","lineage":["https://openalex.org/I158934434"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gang Hu","raw_affiliation_strings":["The School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, P.R.China"],"affiliations":[{"raw_affiliation_string":"The School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, P.R.China","institution_ids":["https://openalex.org/I158934434"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101652034","display_name":"Yi Ye","orcid":"https://orcid.org/0000-0003-3795-4767"},"institutions":[{"id":"https://openalex.org/I158934434","display_name":"Zhongnan University of Economics and Law","ror":"https://ror.org/04yqxxq63","country_code":"CN","type":"education","lineage":["https://openalex.org/I158934434"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Ye","raw_affiliation_strings":["The School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, P.R.China"],"affiliations":[{"raw_affiliation_string":"The School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, P.R.China","institution_ids":["https://openalex.org/I158934434"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100343712","display_name":"Yin Zhang\u22c6","orcid":"https://orcid.org/0000-0002-1772-0763"},"institutions":[{"id":"https://openalex.org/I158934434","display_name":"Zhongnan University of Economics and Law","ror":"https://ror.org/04yqxxq63","country_code":"CN","type":"education","lineage":["https://openalex.org/I158934434"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin Zhang","raw_affiliation_strings":["The School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, P.R.China"],"affiliations":[{"raw_affiliation_string":"The School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, P.R.China","institution_ids":["https://openalex.org/I158934434"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037865550","display_name":"M. Shamim Hossain","orcid":"https://orcid.org/0000-0001-5906-9422"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"M. Shamim Hossain","raw_affiliation_strings":["Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101455287"],"corresponding_institution_ids":["https://openalex.org/I158934434"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24568611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9952999949455261,"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/T11059","display_name":"Market Dynamics and Volatility","score":0.9879000186920166,"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":0.7425577640533447},{"id":"https://openalex.org/keywords/investment-fund","display_name":"Investment fund","score":0.6659311652183533},{"id":"https://openalex.org/keywords/investment","display_name":"Investment (military)","score":0.5366638898849487},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.5105858445167542},{"id":"https://openalex.org/keywords/investment-management","display_name":"Investment management","score":0.48246318101882935},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4658993184566498},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43717458844184875},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42570969462394714},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4228309094905853},{"id":"https://openalex.org/keywords/manager-of-managers-fund","display_name":"Manager of managers fund","score":0.4213595390319824},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.41127920150756836},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3754602372646332},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.14677032828330994},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13472020626068115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7425577640533447},{"id":"https://openalex.org/C36588987","wikidata":"https://www.wikidata.org/wiki/Q4201895","display_name":"Investment fund","level":3,"score":0.6659311652183533},{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.5366638898849487},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.5105858445167542},{"id":"https://openalex.org/C189188589","wikidata":"https://www.wikidata.org/wiki/Q14864997","display_name":"Investment management","level":3,"score":0.48246318101882935},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4658993184566498},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43717458844184875},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42570969462394714},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4228309094905853},{"id":"https://openalex.org/C11393971","wikidata":"https://www.wikidata.org/wiki/Q6746722","display_name":"Manager of managers fund","level":3,"score":0.4213595390319824},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.41127920150756836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3754602372646332},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.14677032828330994},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13472020626068115},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C183582576","wikidata":"https://www.wikidata.org/wiki/Q184783","display_name":"Market liquidity","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcwkshps45667.2019.9024410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps45667.2019.9024410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Globecom Workshops (GC Wkshps)","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":26,"referenced_works":["https://openalex.org/W333233685","https://openalex.org/W746481651","https://openalex.org/W944856202","https://openalex.org/W2296438605","https://openalex.org/W2336558992","https://openalex.org/W2510046892","https://openalex.org/W2613328025","https://openalex.org/W2624385633","https://openalex.org/W2751966227","https://openalex.org/W2766940648","https://openalex.org/W2789364533","https://openalex.org/W2800569739","https://openalex.org/W2865675487","https://openalex.org/W2889247774","https://openalex.org/W2889920518","https://openalex.org/W2890803484","https://openalex.org/W2905054207","https://openalex.org/W2905194214","https://openalex.org/W2905238323","https://openalex.org/W2914316438","https://openalex.org/W2932525848","https://openalex.org/W3115291161","https://openalex.org/W4289548292","https://openalex.org/W6697136110","https://openalex.org/W6754162431","https://openalex.org/W6754403922"],"related_works":["https://openalex.org/W2369731061","https://openalex.org/W2366575625","https://openalex.org/W2475378602","https://openalex.org/W205489732","https://openalex.org/W4246947235","https://openalex.org/W2391309037","https://openalex.org/W2394250777","https://openalex.org/W3217756837","https://openalex.org/W2775970807","https://openalex.org/W2384955832"],"abstract_inverted_index":{"Fund":[0],"correlation":[1,82,226],"analysis":[2,67,227],"can":[3,22,144],"guide":[4],"investors'":[5],"investment":[6,19,74,190,199],"and":[7,41,105,149,183,229],"wealth":[8],"management,":[9],"avoiding":[10],"the":[11,18,24,35,38,46,61,65,71,93,106,114,123,129,161,175,196,217,234,237],"selection":[12],"of":[13,37,48,116,155,213,219,239],"highly":[14,158],"relevant":[15],"funds":[16],"in":[17,60,64,70,87,113,202,209,236],"process,":[20],"which":[21,52,156],"make":[23],"risk":[25],"sharing":[26],"among":[27],"funds.":[28],"There":[29],"is":[30,212],"a":[31,42],"strong":[32],"dependence":[33,44],"between":[34,45],"features":[36],"fund":[39,62,81,197,225],"data":[40,63,66,177],"long-term":[43],"output":[47],"different":[49],"time":[50,101,118,151],"steps,":[51],"makes":[53],"it":[54,185],"difficult":[55],"to":[56,80,174,216,223],"obtain":[57],"good":[58,100],"performance":[59],"model":[68,98,108,136,173],"used":[69],"traditional":[72],"intelligent":[73,189,198],"system.":[75],"This":[76,169],"has":[77,99,109],"brought":[78],"difficulties":[79],"analysis.":[83,120],"However,":[84],"some":[85],"studies":[86],"recent":[88],"years":[89],"have":[90],"shown":[91],"that":[92,195],"LSTM":[94],"(Long":[95],"Short-Term":[96],"Memory)":[97],"series":[102,119],"processing":[103],"capability,":[104],"Encoder-decoder":[107],"made":[110],"great":[111,214],"progress":[112],"application":[115],"financial":[117],"Based":[121],"on":[122],"above":[124],"research,":[125],"this":[126,172,203,210],"paper":[127,170,204,211],"constructs":[128],"DLIFT":[130],"system":[131,165,200],"using":[132],"an":[133],"Improved":[134],"RNN":[135],"combined":[137],"with":[138,160,186],"attention":[139,142],"mechanism..":[140],"The":[141,192,207],"mechanism":[143],"select":[145],"specific":[146],"feature":[147],"inputs":[148],"previous":[150],"step":[152],"outputs,":[153],"both":[154],"are":[157],"correlated":[159],"current":[162],"output,":[163],"making":[164],"predictions":[166],"more":[167],"efficient.":[168],"applies":[171],"historical":[176],"set":[178],"containing":[179],"multiple":[180],"public":[181],"funds,":[182],"compares":[184],"several":[187],"other":[188],"systems.":[191],"results":[193],"show":[194],"proposed":[201],"performs":[205],"best.":[206],"research":[208,235],"significance":[215],"use":[218],"deep":[220],"learning":[221],"methods":[222],"solve":[224],"problems,":[228],"provides":[230],"new":[231],"ideas":[232],"for":[233],"field":[238],"smart":[240],"finance.":[241]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}