{"id":"https://openalex.org/W1981971464","doi":"https://doi.org/10.1016/s1566-2535(03)00004-6","title":"Ensemble feature selection with the simple Bayesian classification","display_name":"Ensemble feature selection with the simple Bayesian classification","publication_year":2003,"publication_date":"2003-05-19","ids":{"openalex":"https://openalex.org/W1981971464","doi":"https://doi.org/10.1016/s1566-2535(03)00004-6","mag":"1981971464"},"language":"en","primary_location":{"id":"doi:10.1016/s1566-2535(03)00004-6","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s1566-2535(03)00004-6","pdf_url":null,"source":{"id":"https://openalex.org/S7560371","display_name":"Information Fusion","issn_l":"1566-2535","issn":["1566-2535","1872-6305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Fusion","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/A5109047597","display_name":"Alexey Tsymbal","orcid":null},"institutions":[{"id":"https://openalex.org/I94722563","display_name":"University of Jyv\u00e4skyl\u00e4","ror":"https://ror.org/05n3dz165","country_code":"FI","type":"education","lineage":["https://openalex.org/I94722563"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Alexey Tsymbal","raw_affiliation_strings":["University of Jyv\u00e4skyl\u00e4, P.O. Box 35, FIN-40351 Jyv\u00e4skyl\u00e4, Finland","University of Jyvaskyla , P.O. Box 35, FIN 40351 Jyvaskyla, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Jyv\u00e4skyl\u00e4, P.O. Box 35, FIN-40351 Jyv\u00e4skyl\u00e4, Finland","institution_ids":["https://openalex.org/I94722563"]},{"raw_affiliation_string":"University of Jyvaskyla , P.O. Box 35, FIN 40351 Jyvaskyla, Finland","institution_ids":["https://openalex.org/I94722563"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058563569","display_name":"Seppo Puuronen","orcid":null},"institutions":[{"id":"https://openalex.org/I94722563","display_name":"University of Jyv\u00e4skyl\u00e4","ror":"https://ror.org/05n3dz165","country_code":"FI","type":"education","lineage":["https://openalex.org/I94722563"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Seppo Puuronen","raw_affiliation_strings":["University of Jyv\u00e4skyl\u00e4, P.O. Box 35, FIN-40351 Jyv\u00e4skyl\u00e4, Finland","University of Jyvaskyla , P.O. Box 35, FIN 40351 Jyvaskyla, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Jyv\u00e4skyl\u00e4, P.O. Box 35, FIN-40351 Jyv\u00e4skyl\u00e4, Finland","institution_ids":["https://openalex.org/I94722563"]},{"raw_affiliation_string":"University of Jyvaskyla , P.O. Box 35, FIN 40351 Jyvaskyla, Finland","institution_ids":["https://openalex.org/I94722563"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077520096","display_name":"David Patterson","orcid":"https://orcid.org/0000-0002-3530-5686"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"David W. Patterson","raw_affiliation_strings":["University of Ulster, Shore Road, Newtownabbey, BT37 0QB, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ulster, Shore Road, Newtownabbey, BT37 0QB, UK","institution_ids":["https://openalex.org/I138801177"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109047597"],"corresponding_institution_ids":["https://openalex.org/I94722563"],"apc_list":{"value":4650,"currency":"USD","value_usd":4650},"apc_paid":null,"fwci":9.8316,"has_fulltext":false,"cited_by_count":160,"citation_normalized_percentile":{"value":0.97971611,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"4","issue":"2","first_page":"87","last_page":"100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9988999962806702,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9943000078201294,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9767000079154968,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.8659816980361938},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7090387940406799},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6884841322898865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6848171353340149},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.62149578332901},{"id":"https://openalex.org/keywords/cascading-classifiers","display_name":"Cascading classifiers","score":0.6174905300140381},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6163809895515442},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.610078752040863},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.52921062707901},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5137416124343872},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.49727657437324524},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4961260259151459},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47681018710136414},{"id":"https://openalex.org/keywords/bayes-classifier","display_name":"Bayes classifier","score":0.43919315934181213},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.43648481369018555},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.4128977060317993},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.38322263956069946},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.12637826800346375}],"concepts":[{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.8659816980361938},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7090387940406799},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6884841322898865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6848171353340149},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.62149578332901},{"id":"https://openalex.org/C40651066","wikidata":"https://www.wikidata.org/wiki/Q5048220","display_name":"Cascading classifiers","level":4,"score":0.6174905300140381},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6163809895515442},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.610078752040863},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.52921062707901},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5137416124343872},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.49727657437324524},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4961260259151459},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47681018710136414},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.43919315934181213},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.43648481369018555},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.4128977060317993},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.38322263956069946},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.12637826800346375},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/s1566-2535(03)00004-6","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s1566-2535(03)00004-6","pdf_url":null,"source":{"id":"https://openalex.org/S7560371","display_name":"Information Fusion","issn_l":"1566-2535","issn":["1566-2535","1872-6305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Fusion","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.8.6779","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.8.6779","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.jyu.fi/~alexey/IF02.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W47559851","https://openalex.org/W603809537","https://openalex.org/W1482784728","https://openalex.org/W1496929357","https://openalex.org/W1507029541","https://openalex.org/W1507034068","https://openalex.org/W1528664985","https://openalex.org/W1536929369","https://openalex.org/W1546113605","https://openalex.org/W1549436606","https://openalex.org/W1552624648","https://openalex.org/W1570448133","https://openalex.org/W1578460509","https://openalex.org/W1584603732","https://openalex.org/W1588833628","https://openalex.org/W1680392829","https://openalex.org/W1840338487","https://openalex.org/W1854064769","https://openalex.org/W1858553808","https://openalex.org/W1984879178","https://openalex.org/W1991464299","https://openalex.org/W2003048487","https://openalex.org/W2019778169","https://openalex.org/W2054804336","https://openalex.org/W2077200366","https://openalex.org/W2081869978","https://openalex.org/W2084812512","https://openalex.org/W2086789740","https://openalex.org/W2091632079","https://openalex.org/W2098154993","https://openalex.org/W2100805904","https://openalex.org/W2113242816","https://openalex.org/W2119437428","https://openalex.org/W2123504579","https://openalex.org/W2128073546","https://openalex.org/W2135293965","https://openalex.org/W2140785063","https://openalex.org/W2152761983","https://openalex.org/W2185494298","https://openalex.org/W2403515192","https://openalex.org/W2982720039","https://openalex.org/W3017143921","https://openalex.org/W3204261337","https://openalex.org/W4212848460","https://openalex.org/W4242221364","https://openalex.org/W6601756076","https://openalex.org/W6601961997","https://openalex.org/W6630233695","https://openalex.org/W6631785913","https://openalex.org/W6632582745","https://openalex.org/W6632964689","https://openalex.org/W6633051276","https://openalex.org/W6634572368","https://openalex.org/W6637386731","https://openalex.org/W6638910631","https://openalex.org/W6639078259","https://openalex.org/W6655265364","https://openalex.org/W6670741282","https://openalex.org/W6675061970","https://openalex.org/W6679154154"],"related_works":["https://openalex.org/W2046975922","https://openalex.org/W1933712933","https://openalex.org/W2057416691","https://openalex.org/W4256395896","https://openalex.org/W2968660735","https://openalex.org/W2083259201","https://openalex.org/W2137567908","https://openalex.org/W3080944905","https://openalex.org/W2245276335","https://openalex.org/W2905430408"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":14}],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2025-10-10T00:00:00"}
