{"id":"https://openalex.org/W4307549403","doi":"https://doi.org/10.3390/fi14110304","title":"Decision Support Using Machine Learning Indication for Financial Investment","display_name":"Decision Support Using Machine Learning Indication for Financial Investment","publication_year":2022,"publication_date":"2022-10-25","ids":{"openalex":"https://openalex.org/W4307549403","doi":"https://doi.org/10.3390/fi14110304"},"language":"en","primary_location":{"id":"doi:10.3390/fi14110304","is_oa":true,"landing_page_url":"https://doi.org/10.3390/fi14110304","pdf_url":"https://www.mdpi.com/1999-5903/14/11/304/pdf?version=1667546896","source":{"id":"https://openalex.org/S34838331","display_name":"Future Internet","issn_l":"1999-5903","issn":["1999-5903"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Future Internet","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-5903/14/11/304/pdf?version=1667546896","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005395526","display_name":"Ariel Vieira de Oliveira","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144729","display_name":"Universidade do Vale do Itaja\u00ed","ror":"https://ror.org/041pjwa23","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210144729"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ariel Vieira de Oliveira","raw_affiliation_strings":["School of Sea, Science, and Technology, University of Vale do Itaja\u00ed, R. Uruguai, 458, Itaja\u00ed 88302-901, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Sea, Science, and Technology, University of Vale do Itaja\u00ed, R. Uruguai, 458, Itaja\u00ed 88302-901, Brazil","institution_ids":["https://openalex.org/I4210144729"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073326666","display_name":"M\u00e1rcia Cristina Schiavi Dazzi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144729","display_name":"Universidade do Vale do Itaja\u00ed","ror":"https://ror.org/041pjwa23","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210144729"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"M\u00e1rcia Cristina Schiavi Dazzi","raw_affiliation_strings":["School of Sea, Science, and Technology, University of Vale do Itaja\u00ed, R. Uruguai, 458, Itaja\u00ed 88302-901, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Sea, Science, and Technology, University of Vale do Itaja\u00ed, R. Uruguai, 458, Itaja\u00ed 88302-901, Brazil","institution_ids":["https://openalex.org/I4210144729"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016608746","display_name":"Anita Maria da Rocha Fernandes","orcid":"https://orcid.org/0000-0002-2986-5353"},"institutions":[{"id":"https://openalex.org/I4210144729","display_name":"Universidade do Vale do Itaja\u00ed","ror":"https://ror.org/041pjwa23","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210144729"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Anita Maria da Rocha Fernandes","raw_affiliation_strings":["School of Sea, Science, and Technology, University of Vale do Itaja\u00ed, R. Uruguai, 458, Itaja\u00ed 88302-901, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-2986-5353","affiliations":[{"raw_affiliation_string":"School of Sea, Science, and Technology, University of Vale do Itaja\u00ed, R. Uruguai, 458, Itaja\u00ed 88302-901, Brazil","institution_ids":["https://openalex.org/I4210144729"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062304678","display_name":"Rudimar Lu\u00eds Scaranto Dazzi","orcid":"https://orcid.org/0000-0003-4183-4098"},"institutions":[{"id":"https://openalex.org/I4210144729","display_name":"Universidade do Vale do Itaja\u00ed","ror":"https://ror.org/041pjwa23","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210144729"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rudimar Luis Scaranto Dazzi","raw_affiliation_strings":["School of Sea, Science, and Technology, University of Vale do Itaja\u00ed, R. Uruguai, 458, Itaja\u00ed 88302-901, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Sea, Science, and Technology, University of Vale do Itaja\u00ed, R. Uruguai, 458, Itaja\u00ed 88302-901, Brazil","institution_ids":["https://openalex.org/I4210144729"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042189269","display_name":"Paulo Ferreira","orcid":"https://orcid.org/0000-0003-1951-889X"},"institutions":[{"id":"https://openalex.org/I4210165014","display_name":"Polytechnic Institute of Portalegre","ror":"https://ror.org/05vnksv67","country_code":"PT","type":"education","lineage":["https://openalex.org/I4210165014"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Paulo Ferreira","raw_affiliation_strings":["Department of Economic Sciences and Organizations, Polytechnic Institute of Portalegre, 7300-555 Portalegre, Portugal","VALORIZA, Research Center for Endogenous Resources Valorization, Instituto Polit\u00e9cnico de Portalegre, 7300-555 Portalegre, Portugal"],"raw_orcid":"https://orcid.org/0000-0003-1951-889X","affiliations":[{"raw_affiliation_string":"Department of Economic Sciences and Organizations, Polytechnic Institute of Portalegre, 7300-555 Portalegre, Portugal","institution_ids":["https://openalex.org/I4210165014"]},{"raw_affiliation_string":"VALORIZA, Research Center for Endogenous Resources Valorization, Instituto Polit\u00e9cnico de Portalegre, 7300-555 Portalegre, Portugal","institution_ids":["https://openalex.org/I4210165014"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038022273","display_name":"Valderi Reis Quietinho Leithardt","orcid":"https://orcid.org/0000-0003-0446-9271"},"institutions":[{"id":"https://openalex.org/I4210165014","display_name":"Polytechnic Institute of Portalegre","ror":"https://ror.org/05vnksv67","country_code":"PT","type":"education","lineage":["https://openalex.org/I4210165014"]},{"id":"https://openalex.org/I88596544","display_name":"Universidade Lus\u00f3fona","ror":"https://ror.org/05xxfer42","country_code":"PT","type":"education","lineage":["https://openalex.org/I88596544"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Valderi Reis Quietinho Leithardt","raw_affiliation_strings":["COPELABS, Lus\u00f3fona University of Humanities and Technologies, Campo Grande 376, 1749-024 Lisboa, Portugal","VALORIZA, Research Center for Endogenous Resources Valorization, Instituto Polit\u00e9cnico de Portalegre, 7300-555 Portalegre, Portugal"],"raw_orcid":"https://orcid.org/0000-0003-0446-9271","affiliations":[{"raw_affiliation_string":"COPELABS, Lus\u00f3fona University of Humanities and Technologies, Campo Grande 376, 1749-024 Lisboa, Portugal","institution_ids":["https://openalex.org/I88596544"]},{"raw_affiliation_string":"VALORIZA, Research Center for Endogenous Resources Valorization, Instituto Polit\u00e9cnico de Portalegre, 7300-555 Portalegre, Portugal","institution_ids":["https://openalex.org/I4210165014"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016608746","https://openalex.org/A5038022273"],"corresponding_institution_ids":["https://openalex.org/I4210144729","https://openalex.org/I4210165014","https://openalex.org/I88596544"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.8167,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75459492,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"14","issue":"11","first_page":"304","last_page":"304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9854999780654907,"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":0.9854999780654907,"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/T11891","display_name":"Big Data and Business Intelligence","score":0.9721999764442444,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"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":0.8480680584907532},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.8188153505325317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6554743051528931},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6250986456871033},{"id":"https://openalex.org/keywords/stock-exchange","display_name":"Stock exchange","score":0.5622990131378174},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5507979989051819},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4922145903110504},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.479756236076355},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.4521791934967041},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4270828366279602},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.41211074590682983},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.39543965458869934},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.29997482895851135}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8480680584907532},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.8188153505325317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6554743051528931},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6250986456871033},{"id":"https://openalex.org/C200870193","wikidata":"https://www.wikidata.org/wiki/Q11691","display_name":"Stock exchange","level":2,"score":0.5622990131378174},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5507979989051819},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4922145903110504},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.479756236076355},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.4521791934967041},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4270828366279602},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.41211074590682983},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.39543965458869934},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29997482895851135},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/fi14110304","is_oa":true,"landing_page_url":"https://doi.org/10.3390/fi14110304","pdf_url":"https://www.mdpi.com/1999-5903/14/11/304/pdf?version=1667546896","source":{"id":"https://openalex.org/S34838331","display_name":"Future Internet","issn_l":"1999-5903","issn":["1999-5903"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Future Internet","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:gam:jftint:v:14:y:2022:i:11:p:304-:d:952775","is_oa":false,"landing_page_url":"https://www.mdpi.com/1999-5903/14/11/304/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:comum.rcaap.pt:10400.26/43553","is_oa":true,"landing_page_url":"http://hdl.handle.net/10400.26/43553","pdf_url":null,"source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"journal article"},{"id":"pmh:oai:doaj.org/article:f8df0fa5982541f4a43f88610dbdafd5","is_oa":true,"landing_page_url":"https://doaj.org/article/f8df0fa5982541f4a43f88610dbdafd5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Future Internet, Vol 14, Iss 11, p 304 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-5903/14/11/304/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/fi14110304","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Future Internet; Volume 14; Issue 11; Pages: 304","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/fi14110304","is_oa":true,"landing_page_url":"https://doi.org/10.3390/fi14110304","pdf_url":"https://www.mdpi.com/1999-5903/14/11/304/pdf?version=1667546896","source":{"id":"https://openalex.org/S34838331","display_name":"Future Internet","issn_l":"1999-5903","issn":["1999-5903"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Future Internet","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4307549403.pdf"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W89921790","https://openalex.org/W1984023857","https://openalex.org/W2053834050","https://openalex.org/W2117300509","https://openalex.org/W2565605428","https://openalex.org/W2780490630","https://openalex.org/W2797861330","https://openalex.org/W2887450323","https://openalex.org/W2889880961","https://openalex.org/W2891149391","https://openalex.org/W2904239671","https://openalex.org/W2911781390","https://openalex.org/W2913997948","https://openalex.org/W2922652697","https://openalex.org/W2952519989","https://openalex.org/W2961395553","https://openalex.org/W2961674732","https://openalex.org/W2974304625","https://openalex.org/W2979032245","https://openalex.org/W2986539977","https://openalex.org/W2990822505","https://openalex.org/W3000277484","https://openalex.org/W3003203686","https://openalex.org/W3007570962","https://openalex.org/W3022168473","https://openalex.org/W3030419288","https://openalex.org/W3038364447","https://openalex.org/W3043788445","https://openalex.org/W3046550529","https://openalex.org/W3081551594","https://openalex.org/W3089324699","https://openalex.org/W3089489220","https://openalex.org/W3093579335","https://openalex.org/W3093782982","https://openalex.org/W3097203985","https://openalex.org/W3107831402","https://openalex.org/W3110380668","https://openalex.org/W3130824979","https://openalex.org/W3130921877","https://openalex.org/W3134325730","https://openalex.org/W3138955937","https://openalex.org/W3156400478","https://openalex.org/W3158633703","https://openalex.org/W3171995081","https://openalex.org/W3185709478","https://openalex.org/W3193712709","https://openalex.org/W3201357788","https://openalex.org/W3202328561","https://openalex.org/W4200366816","https://openalex.org/W4200392300","https://openalex.org/W4200459380","https://openalex.org/W4200598064","https://openalex.org/W4206032151","https://openalex.org/W4206250965","https://openalex.org/W4213330843","https://openalex.org/W4214566202","https://openalex.org/W4221120758","https://openalex.org/W4283639857","https://openalex.org/W4283641014","https://openalex.org/W4289519942","https://openalex.org/W6755885337","https://openalex.org/W6764489408","https://openalex.org/W6792293958"],"related_works":["https://openalex.org/W2591672004","https://openalex.org/W1982169401","https://openalex.org/W2356463514","https://openalex.org/W4319437832","https://openalex.org/W2592385415","https://openalex.org/W2076543106","https://openalex.org/W2030894524","https://openalex.org/W4243803609","https://openalex.org/W2994772185","https://openalex.org/W2350430350"],"abstract_inverted_index":{"To":[0],"support":[1],"the":[2,21,40,48,52,56,62,76,85,97,101],"decision-making":[3],"process":[4],"of":[5,42,58,64,75,108],"new":[6],"investors,":[7],"this":[8],"paper":[9],"aims":[10],"to":[11,16,81],"implement":[12],"Machine":[13],"Learning":[14],"algorithms":[15,78],"generate":[17],"investment":[18],"indications,":[19],"considering":[20,66],"Brazilian":[22],"scenario.":[23],"Three":[24],"artificial":[25],"intelligence":[26],"techniques":[27],"were":[28,79],"implemented,":[29],"namely:":[30],"Multilayer":[31],"Perceptron,":[32],"Logistic":[33],"Regression":[34],"and":[35,61,91,105],"Decision":[36,94],"Tree,":[37],"which":[38],"performed":[39],"classification":[41,103],"investments.":[43],"The":[44,73,93],"database":[45],"used":[46],"was":[47,96],"one":[49],"provided":[50],"by":[51],"website":[53],"Oceans14,":[54],"containing":[55],"history":[57,63],"Fundamental":[59],"Indicators":[60],"Quotations,":[65],"BOVESPA":[67],"(S\u00e3o":[68],"Paulo":[69],"State":[70],"Stock":[71],"Exchange).":[72],"results":[74],"different":[77],"compared":[80],"each":[82],"other":[83],"using":[84],"following":[86],"metrics:":[87],"accuracy,":[88],"precision,":[89],"recall,":[90],"F1-score.":[92],"Tree":[95],"algorithm":[98],"that":[99],"obtained":[100],"best":[102],"metrics":[104],"an":[106],"accuracy":[107],"77%.":[109]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2022-11-03T00:00:00"}