{"id":"https://openalex.org/W4249456551","doi":"https://doi.org/10.1145/3495018.3495370","title":"Evaluation Model and Algorithm Based on Financial Data","display_name":"Evaluation Model and Algorithm Based on Financial Data","publication_year":2021,"publication_date":"2021-10-23","ids":{"openalex":"https://openalex.org/W4249456551","doi":"https://doi.org/10.1145/3495018.3495370"},"language":"en","primary_location":{"id":"doi:10.1145/3495018.3495370","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3495018.3495370","pdf_url":null,"source":{"id":"https://openalex.org/S4363607741","display_name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","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/A5086162160","display_name":"Shuyu Hu","orcid":"https://orcid.org/0000-0002-9497-8979"},"institutions":[{"id":"https://openalex.org/I8679417","display_name":"Hong Kong Metropolitan University","ror":"https://ror.org/0349bsm71","country_code":"HK","type":"education","lineage":["https://openalex.org/I8679417"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Shuyu Hu","raw_affiliation_strings":["Hunan Open University, China"],"affiliations":[{"raw_affiliation_string":"Hunan Open University, China","institution_ids":["https://openalex.org/I8679417"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004290542","display_name":"Ming Huang","orcid":"https://orcid.org/0000-0002-9517-2125"},"institutions":[{"id":"https://openalex.org/I8679417","display_name":"Hong Kong Metropolitan University","ror":"https://ror.org/0349bsm71","country_code":"HK","type":"education","lineage":["https://openalex.org/I8679417"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ming Huang","raw_affiliation_strings":["Hunan Open University, China"],"affiliations":[{"raw_affiliation_string":"Hunan Open University, China","institution_ids":["https://openalex.org/I8679417"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086162160"],"corresponding_institution_ids":["https://openalex.org/I8679417"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32352941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1225","last_page":"1229"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9919999837875366,"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":0.9919999837875366,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9681000113487244,"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/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9621999859809875,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7054583430290222},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.547926664352417},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5005354881286621},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4941587746143341},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.447692334651947},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.4413950443267822},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.4343748390674591},{"id":"https://openalex.org/keywords/financial-market","display_name":"Financial market","score":0.4311850965023041},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41946542263031006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41686296463012695},{"id":"https://openalex.org/keywords/futures-contract","display_name":"Futures contract","score":0.4152098298072815},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14379575848579407},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.12738078832626343}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7054583430290222},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.547926664352417},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5005354881286621},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4941587746143341},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.447692334651947},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.4413950443267822},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.4343748390674591},{"id":"https://openalex.org/C19244329","wikidata":"https://www.wikidata.org/wiki/Q208697","display_name":"Financial market","level":2,"score":0.4311850965023041},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41946542263031006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41686296463012695},{"id":"https://openalex.org/C106306483","wikidata":"https://www.wikidata.org/wiki/Q183984","display_name":"Futures contract","level":2,"score":0.4152098298072815},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14379575848579407},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.12738078832626343},{"id":"https://openalex.org/C2780762169","wikidata":"https://www.wikidata.org/wiki/Q5905368","display_name":"Horse","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3495018.3495370","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3495018.3495370","pdf_url":null,"source":{"id":"https://openalex.org/S4363607741","display_name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2004473119","https://openalex.org/W2013173480","https://openalex.org/W2188253780","https://openalex.org/W2473526392","https://openalex.org/W2912002915","https://openalex.org/W2954805180","https://openalex.org/W2970992148"],"related_works":["https://openalex.org/W2053269318","https://openalex.org/W2364370872","https://openalex.org/W2200638682","https://openalex.org/W2494020708","https://openalex.org/W2080194917","https://openalex.org/W2230611034","https://openalex.org/W4387762087","https://openalex.org/W2069474937","https://openalex.org/W3124189739","https://openalex.org/W2645942849"],"abstract_inverted_index":{"The":[0,83,295],"rapid":[1],"development":[2,146],"of":[3,12,19,24,38,49,57,85,105,117,150,172,176,194,257,282,304,314],"the":[4,10,17,22,29,36,47,55,91,103,106,109,114,118,127,145,151,159,170,173,181,186,191,195,197,207,228,241,248,255,258,263,270,280,283,292,302,305,311,321],"domestic":[5,119],"financial":[6,77,99,111,120,136,188,231,274],"market":[7,112],"has":[8,34,42,52],"increased":[9,27],"enthusiasm":[11],"various":[13,213],"investors":[14],"to":[15,71,75,79,89,125,132,185,226,239,253,288,291],"participate,":[16],"amount":[18],"data":[20,39,78,189,201,211,238,308],"and":[21,46,94,113,134,147,163,166,190,199,204,206,212,222,245,250,260],"frequency":[23],"transactions":[25,59],"have":[26],"sharply,":[28],"demand":[30],"for":[31],"transaction":[32,237],"speed":[33],"increased,":[35],"correlation":[37],"between":[40],"markets":[41],"become":[43],"more":[44],"complex,":[45],"proportion":[48,56],"quantitative":[50,58,81],"exchanges":[51],"increased.":[53],"Correspondingly,":[54],"that":[60,262,279],"use":[61,72,126],"model":[62,93,131,156,208,229,243,299],"algorithms":[63],"in":[64,108,178,273,310],"finance":[65],"is":[66,88,286],"increasing,":[67],"making":[68],"it":[69],"possible":[70],"pattern":[73,271],"recognition":[74,249],"analyze":[76,133],"guide":[80],"transactions.":[82],"purpose":[84],"this":[86,122],"article":[87],"study":[90,254],"evaluation":[92],"its":[95],"algorithm":[96,107,148],"based":[97],"on":[98,144,169],"data.":[100,137,232,275],"Aiming":[101],"at":[102],"shortcomings":[104],"future":[110],"specific":[115,187],"environment":[116],"market,":[121],"paper":[123,139,234],"proposes":[124],"continuous":[128,153,296],"hidden":[129,154,284,297,315],"Markov":[130,155,265,298],"predict":[135],"This":[138,233],"conducts":[140,167],"a":[141],"comprehensive":[142],"research":[143,168,277],"theory":[149],"entire":[152,242],"system,":[157,244],"decomposes":[158],"model's":[160],"identification,":[161],"decoding,":[162],"learning":[164],"processes,":[165],"application":[171],"three":[174],"types":[175,313],"processes":[177],"finance.":[179],"At":[180],"same":[182],"time,":[183],"according":[184],"algorithmic":[192],"process":[193,252],"model,":[196,259],"stock":[198],"futures":[200],"are":[202,215],"extracted":[203],"processed,":[205],"system":[209],"sample":[210,307],"parameters":[214],"set":[216],"using":[217],"classification":[218],"selection,":[219],"wavelet":[220],"denoising":[221],"stable":[223],"index":[224],"construction":[225],"improve":[227],"under":[230],"uses":[235,247],"actual":[236],"verify":[240],"then":[246],"decoding":[251,320],"adaptability":[256],"concludes":[261],"Hidden":[264],"Model":[266],"can":[267,300],"well":[268,309],"identify":[269],"features":[272],"Experimental":[276],"shows":[278],"result":[281],"state":[285,316],"close":[287],"80%":[289],"similar":[290],"original":[293,306],"state.":[294,323],"restore":[301],"characteristics":[303],"five":[312],"sequence":[317],"obtained":[318],"by":[319],"observation":[322]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}