{"id":"https://openalex.org/W2128086704","doi":"https://doi.org/10.1007/s10489-007-0053-3","title":"Knowledge discovery in corporate events by neural network rule extraction","display_name":"Knowledge discovery in corporate events by neural network rule extraction","publication_year":2007,"publication_date":"2007-06-04","ids":{"openalex":"https://openalex.org/W2128086704","doi":"https://doi.org/10.1007/s10489-007-0053-3","mag":"2128086704"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-007-0053-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-007-0053-3","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/A5101897241","display_name":"Ming Dong","orcid":"https://orcid.org/0000-0001-8133-7809"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ming Dong","raw_affiliation_strings":["Machine Vision and Pattern Recognition Laboratory, Department of Computer Science, Wayne State University, Detroit, MI, 48202, USA","Machine Vision and Pattern Recognition Laboratory, Department of Computer Science, Wayne State University, Detroit, USA 48202"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Vision and Pattern Recognition Laboratory, Department of Computer Science, Wayne State University, Detroit, MI, 48202, USA","institution_ids":["https://openalex.org/I185443292"]},{"raw_affiliation_string":"Machine Vision and Pattern Recognition Laboratory, Department of Computer Science, Wayne State University, Detroit, USA 48202","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000483166","display_name":"Xu-Shen Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I90965887","display_name":"SUNY Polytechnic Institute","ror":"https://ror.org/000fxgx19","country_code":"US","type":"education","lineage":["https://openalex.org/I90965887"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xu-Shen Zhou","raw_affiliation_strings":["School of Business, SUNY\u2014Institute of Technology, Utica, NY, 13504, USA","School of Business, SUNY--Institute of Technology, Utica, USA 13504#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Business, SUNY\u2014Institute of Technology, Utica, NY, 13504, USA","institution_ids":["https://openalex.org/I90965887"]},{"raw_affiliation_string":"School of Business, SUNY--Institute of Technology, Utica, USA 13504#TAB#","institution_ids":["https://openalex.org/I90965887"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101897241"],"corresponding_institution_ids":["https://openalex.org/I185443292"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.16312176,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"29","issue":"2","first_page":"129","last_page":"137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9991000294685364,"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":0.9991000294685364,"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/T10047","display_name":"Financial Markets and Investment Strategies","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"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/T10019","display_name":"Corporate Finance and Governance","score":0.9731000065803528,"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":0.7742048501968384},{"id":"https://openalex.org/keywords/dividend","display_name":"Dividend","score":0.720497727394104},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7008702158927917},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.5699954628944397},{"id":"https://openalex.org/keywords/stock-price","display_name":"Stock price","score":0.5313755869865417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4404081404209137},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4365730285644531},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.41555255651474},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3647592067718506},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33821266889572144},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.11763009428977966},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.1069357693195343},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09296813607215881}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7742048501968384},{"id":"https://openalex.org/C116168712","wikidata":"https://www.wikidata.org/wiki/Q181201","display_name":"Dividend","level":2,"score":0.720497727394104},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7008702158927917},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.5699954628944397},{"id":"https://openalex.org/C2988984586","wikidata":"https://www.wikidata.org/wiki/Q1020013","display_name":"Stock price","level":3,"score":0.5313755869865417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4404081404209137},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4365730285644531},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.41555255651474},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3647592067718506},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33821266889572144},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.11763009428977966},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.1069357693195343},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09296813607215881},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-007-0053-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-007-0053-3","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":34,"referenced_works":["https://openalex.org/W1554663460","https://openalex.org/W1975272859","https://openalex.org/W2025746315","https://openalex.org/W2026718556","https://openalex.org/W2033390701","https://openalex.org/W2036679573","https://openalex.org/W2063046703","https://openalex.org/W2102951738","https://openalex.org/W2104796460","https://openalex.org/W2107093743","https://openalex.org/W2111255674","https://openalex.org/W2111918129","https://openalex.org/W2112036221","https://openalex.org/W2115472170","https://openalex.org/W2119621677","https://openalex.org/W2122994140","https://openalex.org/W2125055259","https://openalex.org/W2125389748","https://openalex.org/W2125520394","https://openalex.org/W2128633294","https://openalex.org/W2136734237","https://openalex.org/W2145554480","https://openalex.org/W2158599326","https://openalex.org/W2598912124","https://openalex.org/W3094633476","https://openalex.org/W3121302911","https://openalex.org/W3122464303","https://openalex.org/W3122578644","https://openalex.org/W3122727604","https://openalex.org/W3122993843","https://openalex.org/W3125902854","https://openalex.org/W4246390368","https://openalex.org/W4285719527","https://openalex.org/W4388297464"],"related_works":["https://openalex.org/W2253353682","https://openalex.org/W247222457","https://openalex.org/W3124131549","https://openalex.org/W3008476150","https://openalex.org/W2152348935","https://openalex.org/W2887069341","https://openalex.org/W2554106722","https://openalex.org/W1797892342","https://openalex.org/W2093710055","https://openalex.org/W2344827208"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}