{"id":"https://openalex.org/W7125118576","doi":"https://doi.org/10.1007/s10489-025-07048-2","title":"Hybrid stock price forecasting model using LSTM of attention mechanism combining noise removal and neighborhood rough set","display_name":"Hybrid stock price forecasting model using LSTM of attention mechanism combining noise removal and neighborhood rough set","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7125118576","doi":"https://doi.org/10.1007/s10489-025-07048-2"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-025-07048-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-025-07048-2","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-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/A5053575337","display_name":"Yi Guo","orcid":"https://orcid.org/0000-0001-9589-3806"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuqi Guo","raw_affiliation_strings":["School of Economics and Management, Xidian University, 710071, Xi\u2019an, China","School of Management, Xi\u2019an Jiaotong University, 710049, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Xidian University, 710071, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Management, Xi\u2019an Jiaotong University, 710049, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110662776","display_name":"Bingzhen Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingzhen Sun","raw_affiliation_strings":["School of Economics and Management, Xidian University, 710071, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Xidian University, 710071, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060483900","display_name":"Juncheng Bai","orcid":"https://orcid.org/0000-0002-3867-4401"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Juncheng Bai","raw_affiliation_strings":["School of Economics and Management, Xidian University, 710071, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Xidian University, 710071, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123467193","display_name":"Weiping Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Ding","raw_affiliation_strings":["School of Information Science and Technology, Nantong University, 226019, Nantong, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Nantong University, 226019, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5053575337","https://openalex.org/A5060483900"],"corresponding_institution_ids":["https://openalex.org/I149594827","https://openalex.org/I87445476"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21057129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"56","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9174000024795532,"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":0.9174000024795532,"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":0.009999999776482582,"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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.00559999980032444,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7835999727249146},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.5825999975204468},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5037999749183655},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.48980000615119934},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4691999852657318},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45010000467300415},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4498000144958496},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4359000027179718}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8312000036239624},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7835999727249146},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.5825999975204468},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5087000131607056},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5037999749183655},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.48980000615119934},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4708000123500824},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4691999852657318},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45010000467300415},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4498000144958496},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4359000027179718},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40059998631477356},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3946000039577484},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.37059998512268066},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.3416999876499176},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3174000084400177},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.30869999527931213},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.303600013256073},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.30070000886917114},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.296999990940094},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2831999957561493},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.27129998803138733},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25440001487731934}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-025-07048-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-025-07048-2","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1998792525","https://openalex.org/W2001692054","https://openalex.org/W2027654459","https://openalex.org/W2039935421","https://openalex.org/W2064675550","https://openalex.org/W2070813883","https://openalex.org/W2090637028","https://openalex.org/W2099741732","https://openalex.org/W2123649031","https://openalex.org/W2158633287","https://openalex.org/W2250153062","https://openalex.org/W2470673105","https://openalex.org/W2572554044","https://openalex.org/W2573526403","https://openalex.org/W2607594748","https://openalex.org/W2798157722","https://openalex.org/W2886249837","https://openalex.org/W2894041752","https://openalex.org/W2903922715","https://openalex.org/W2907345037","https://openalex.org/W2910351322","https://openalex.org/W2911253711","https://openalex.org/W2923002376","https://openalex.org/W2942063634","https://openalex.org/W2980996168","https://openalex.org/W2984436043","https://openalex.org/W3021299754","https://openalex.org/W3022720643","https://openalex.org/W3044693676","https://openalex.org/W3046336705","https://openalex.org/W3094052018","https://openalex.org/W3097632394","https://openalex.org/W3110420963","https://openalex.org/W3112922085","https://openalex.org/W3134939203","https://openalex.org/W3152753009","https://openalex.org/W3173232019","https://openalex.org/W3191385588","https://openalex.org/W4200445429","https://openalex.org/W4255375128","https://openalex.org/W4255833381","https://openalex.org/W4280550869","https://openalex.org/W4293522016","https://openalex.org/W4310204380","https://openalex.org/W4312462107","https://openalex.org/W4322588511","https://openalex.org/W4366085639","https://openalex.org/W4386574948"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-01-23T23:20:30.427331","created_date":"2026-01-22T00:00:00"}