{"id":"https://openalex.org/W2028827524","doi":"https://doi.org/10.1109/ijcnn.2005.1556304","title":"Data preprocessing for stock market forecasting using random subspace classifier network","display_name":"Data preprocessing for stock market forecasting using random subspace classifier network","publication_year":2006,"publication_date":"2006-01-05","ids":{"openalex":"https://openalex.org/W2028827524","doi":"https://doi.org/10.1109/ijcnn.2005.1556304","mag":"2028827524"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2005.1556304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556304","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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/A5028730190","display_name":"\u0414. \u0412. \u0416\u043e\u0440\u0430","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113851","display_name":"Institute of Software Systems","ror":"https://ror.org/0258a2f50","country_code":"UA","type":"facility","lineage":["https://openalex.org/I149851306","https://openalex.org/I4210113851"]}],"countries":["UA"],"is_corresponding":true,"raw_author_name":"D.V. Zhora","raw_affiliation_strings":["Institute of Software Systems, Kiev, Ukraine","Inst. of Software Syst., Kiev, Ukraine"],"affiliations":[{"raw_affiliation_string":"Institute of Software Systems, Kiev, Ukraine","institution_ids":["https://openalex.org/I4210113851"]},{"raw_affiliation_string":"Inst. of Software Syst., Kiev, Ukraine","institution_ids":["https://openalex.org/I4210113851"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5028730190"],"corresponding_institution_ids":["https://openalex.org/I4210113851"],"apc_list":null,"apc_paid":null,"fwci":1.0292,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.72826087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"4","issue":null,"first_page":"2549","last_page":"2554"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9983999729156494,"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":0.9983999729156494,"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/T10320","display_name":"Neural Networks and Applications","score":0.9707000255584717,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9535999894142151,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6705014705657959},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6680232286453247},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.6122562289237976},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5909422039985657},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.5598355531692505},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5059022307395935},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4821333587169647},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4739009439945221},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46085184812545776},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44189339876174927},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.41261982917785645},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38563650846481323},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1900051236152649}],"concepts":[{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6705014705657959},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6680232286453247},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.6122562289237976},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5909422039985657},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5598355531692505},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5059022307395935},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4821333587169647},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4739009439945221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46085184812545776},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44189339876174927},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.41261982917785645},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38563650846481323},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1900051236152649},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2780762169","wikidata":"https://www.wikidata.org/wiki/Q5905368","display_name":"Horse","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2005.1556304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556304","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1638583922","https://openalex.org/W2150575030","https://openalex.org/W6636958284"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W2953716828","https://openalex.org/W2904857019","https://openalex.org/W2944728705","https://openalex.org/W3011538607","https://openalex.org/W2904022177","https://openalex.org/W2591697403","https://openalex.org/W2948549837","https://openalex.org/W1566614651"],"abstract_inverted_index":{"Financial":[0],"forecasting":[1,76],"is":[2,30,115,132],"a":[3,45],"challenging":[4],"problem":[5],"which":[6],"attracts":[7],"researchers":[8],"from":[9],"different":[10,82,118],"fields.":[11],"Since":[12],"many":[13],"authors":[14],"suggest":[15],"new":[16],"methods":[17],"to":[18,24,32,55,61,72,127],"predict":[19,62,128],"the":[20,27,38,63,75,88,96,122,125,129,135],"market,":[21],"it's":[22,70],"reasonable":[23],"suppose":[25],"that":[26,57],"reliable":[28],"solution":[29],"hard":[31],"find.":[33],"Moreover,":[34],"discovered":[35],"regularity":[36],"in":[37],"market":[39,51],"behaviour":[40],"should":[41],"not":[42],"exist":[43],"for":[44,81,94,107,117],"long":[46],"period":[47],"of":[48,68,90,124],"time,":[49],"because":[50],"participants":[52],"will":[53],"try":[54],"exploit":[56],"opportunity.":[58],"In":[59],"order":[60],"future":[64],"with":[65],"some":[66],"degree":[67],"confidence":[69],"better":[71],"make":[73],"sure":[74],"method":[77],"provides":[78],"expected":[79],"results":[80],"time":[83,119],"frames.":[84],"This":[85],"article":[86],"analyses":[87],"application":[89],"random":[91],"subspace":[92],"classifier":[93],"predicting":[95],"next":[97],"day":[98],"stock":[99,108],"price":[100,109,130],"return.":[101],"Different":[102],"data":[103],"preprocessing":[104],"approaches,":[105],"particularly":[106],"normalization,":[110],"are":[111],"suggested.":[112],"Forecasting":[113],"performance":[114],"tested":[116],"periods.":[120],"Besides,":[121],"ability":[123],"network":[126],"change":[131],"considered":[133],"within":[134],"test":[136],"set.":[137]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}