{"id":"https://openalex.org/W3038833021","doi":"https://doi.org/10.1007/s10489-020-01766-5","title":"A hybrid two-stage financial stock forecasting algorithm based on clustering and ensemble learning","display_name":"A hybrid two-stage financial stock forecasting algorithm based on clustering and ensemble learning","publication_year":2020,"publication_date":"2020-07-04","ids":{"openalex":"https://openalex.org/W3038833021","doi":"https://doi.org/10.1007/s10489-020-01766-5","mag":"3038833021"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-020-01766-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-020-01766-5","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/A5101535733","display_name":"Ying Xu","orcid":"https://orcid.org/0000-0001-7722-4385"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Xu","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China"],"raw_orcid":"https://orcid.org/0000-0001-7722-4385","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062716131","display_name":"Cuijuan Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cuijuan Yang","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108008219","display_name":"Shaoliang Peng","orcid":"https://orcid.org/0000-0002-4647-2615"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoliang Peng","raw_affiliation_strings":["Computer Science, National University of Defense Technology, Changsha, 410073, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, National University of Defense Technology, Changsha, 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004957967","display_name":"Yusuke Nojima","orcid":"https://orcid.org/0000-0003-4853-1305"},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Nojima","raw_affiliation_strings":["Graduate School of Engineering, Osaka Prefecture University, Osaka, 599-8531, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Osaka Prefecture University, Osaka, 599-8531, Japan","institution_ids":["https://openalex.org/I15807432"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101535733"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":7.9288,"has_fulltext":false,"cited_by_count":67,"citation_normalized_percentile":{"value":0.97579358,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"50","issue":"11","first_page":"3852","last_page":"3867"},"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9918000102043152,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8136379718780518},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8006792068481445},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6240268349647522},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.538760244846344},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.48351743817329407},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48125359416007996},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47488516569137573},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"k-means clustering","score":0.47069716453552246},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4674207866191864},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.4176989197731018},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3339688777923584}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8136379718780518},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8006792068481445},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6240268349647522},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.538760244846344},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.48351743817329407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48125359416007996},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47488516569137573},{"id":"https://openalex.org/C207968372","wikidata":"https://www.wikidata.org/wiki/Q310401","display_name":"k-means clustering","level":3,"score":0.47069716453552246},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4674207866191864},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.4176989197731018},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3339688777923584},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"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/C2780762169","wikidata":"https://www.wikidata.org/wiki/Q5905368","display_name":"Horse","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-020-01766-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-020-01766-5","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1980836123","https://openalex.org/W1987971958","https://openalex.org/W2007358469","https://openalex.org/W2104795328","https://openalex.org/W2121224351","https://openalex.org/W2128615471","https://openalex.org/W2131773668","https://openalex.org/W2138293190","https://openalex.org/W2151530909","https://openalex.org/W2246472863","https://openalex.org/W2543479447","https://openalex.org/W2587000990","https://openalex.org/W2757415268","https://openalex.org/W2769993970","https://openalex.org/W2776770276","https://openalex.org/W2783813266","https://openalex.org/W2789364533","https://openalex.org/W2790343815","https://openalex.org/W2795092194","https://openalex.org/W2796929742","https://openalex.org/W2802496958","https://openalex.org/W2804968338","https://openalex.org/W2808626748","https://openalex.org/W2882971977","https://openalex.org/W2886621583","https://openalex.org/W2889201272","https://openalex.org/W2894873748","https://openalex.org/W2902736997","https://openalex.org/W2905054207","https://openalex.org/W2913019356","https://openalex.org/W2917928566","https://openalex.org/W2949995675","https://openalex.org/W4231546411","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2794896638","https://openalex.org/W3202800081","https://openalex.org/W1807784185","https://openalex.org/W45170056","https://openalex.org/W3149839747","https://openalex.org/W1909207154","https://openalex.org/W3124390867","https://openalex.org/W3101614107","https://openalex.org/W3204228978","https://openalex.org/W1514365828"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-16T07:32:37.131356","created_date":"2025-10-10T00:00:00"}
