{"id":"https://openalex.org/W3216306913","doi":"https://doi.org/10.1145/3482632.3487476","title":"The price prediction of virtual currency base on improved support vector regression","display_name":"The price prediction of virtual currency base on improved support vector regression","publication_year":2021,"publication_date":"2021-09-24","ids":{"openalex":"https://openalex.org/W3216306913","doi":"https://doi.org/10.1145/3482632.3487476","mag":"3216306913"},"language":"en","primary_location":{"id":"doi:10.1145/3482632.3487476","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3482632.3487476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Information Systems and Computer Aided Education","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/A5100346332","display_name":"Yiming Li","orcid":"https://orcid.org/0000-0002-2258-265X"},"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":"Yiming Li","raw_affiliation_strings":["Zhongnan University of Economics and Law, China"],"affiliations":[{"raw_affiliation_string":"Zhongnan University of Economics and Law, China","institution_ids":["https://openalex.org/I158934434"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100346332"],"corresponding_institution_ids":["https://openalex.org/I158934434"],"apc_list":null,"apc_paid":null,"fwci":0.2754,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64994256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2587","last_page":"2591"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14319","display_name":"Currency Recognition and Detection","score":0.9800000190734863,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11059","display_name":"Market Dynamics and Volatility","score":0.9783999919891357,"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/support-vector-machine","display_name":"Support vector machine","score":0.8080630302429199},{"id":"https://openalex.org/keywords/virtual-currency","display_name":"Virtual currency","score":0.7999975681304932},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.670846700668335},{"id":"https://openalex.org/keywords/currency","display_name":"Currency","score":0.6137941479682922},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4307049512863159},{"id":"https://openalex.org/keywords/digital-currency","display_name":"Digital currency","score":0.4300377368927002},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38941705226898193},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32409292459487915},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.20998939871788025},{"id":"https://openalex.org/keywords/monetary-economics","display_name":"Monetary economics","score":0.08193811774253845}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8080630302429199},{"id":"https://openalex.org/C47487560","wikidata":"https://www.wikidata.org/wiki/Q4112083","display_name":"Virtual currency","level":3,"score":0.7999975681304932},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.670846700668335},{"id":"https://openalex.org/C141121606","wikidata":"https://www.wikidata.org/wiki/Q8142","display_name":"Currency","level":2,"score":0.6137941479682922},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4307049512863159},{"id":"https://openalex.org/C48220719","wikidata":"https://www.wikidata.org/wiki/Q10836209","display_name":"Digital currency","level":3,"score":0.4300377368927002},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38941705226898193},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32409292459487915},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.20998939871788025},{"id":"https://openalex.org/C556758197","wikidata":"https://www.wikidata.org/wiki/Q580018","display_name":"Monetary economics","level":1,"score":0.08193811774253845}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3482632.3487476","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3482632.3487476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Information Systems and Computer Aided Education","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2694190980","https://openalex.org/W2994537010","https://openalex.org/W3003395231","https://openalex.org/W3103517394","https://openalex.org/W4233752196","https://openalex.org/W4239751816"],"related_works":["https://openalex.org/W4391262104","https://openalex.org/W3022138056","https://openalex.org/W3088948958","https://openalex.org/W4353000291","https://openalex.org/W4365797016","https://openalex.org/W2784375390","https://openalex.org/W3082259031","https://openalex.org/W4380624066","https://openalex.org/W2381820935","https://openalex.org/W2009038989"],"abstract_inverted_index":{"With":[0],"the":[1,16,44,48,55,61,67,75,94,120,141],"emergence":[2],"of":[3,7,19,25,47,54,60,70,77,97,124,127],"a":[4,22,90,106],"large":[5,23],"number":[6,24],"virtual":[8,40,56,71,98,128],"currencies":[9,41,57],"represented":[10],"by":[11],"Bitcoin":[12],"and":[13,15,36,65,122,145],"Ethereum":[14],"continuous":[17],"rise":[18],"their":[20],"prices,":[21],"investors":[26],"have":[27,42,89],"been":[28],"attracted":[29],"to":[30],"invest":[31],"in":[32,93],"them.":[33],"The":[34,51,130],"attention":[35],"research":[37,62],"based":[38,112],"on":[39,113],"aroused":[43],"wide":[45],"concern":[46],"social":[49],"public.":[50],"price":[52,73,95,125],"prediction":[53,76,96,126],"is":[58],"one":[59],"hotspots,":[63],"obtaining":[64],"analyzing":[66],"historical":[68],"data":[69,114],"currency":[72],"for":[74],"future":[78],"price.":[79],"We":[80],"find":[81],"that":[82,134],"some":[83],"commonly":[84],"used":[85],"machine":[86,149],"learning":[87,150],"algorithms":[88],"great":[91],"deviation":[92],"currency.":[99,129],"To":[100],"solve":[101],"this":[102],"problem,":[103],"we":[104],"propose":[105],"novel":[107],"support":[108],"vector":[109],"regression":[110],"(SVR)":[111],"segmentation,":[115],"which":[116],"can":[117],"significantly":[118],"improve":[119],"accuracy":[121],"effectiveness":[123],"experimental":[131],"results":[132],"show":[133],"our":[135],"algorithm":[136,144],"has":[137],"obvious":[138],"advantages":[139],"over":[140],"traditional":[142],"SVR":[143],"other":[146],"eight":[147],"classical":[148],"algorithms.":[151]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}