{"id":"https://openalex.org/W1604478529","doi":"https://doi.org/10.1007/978-3-540-24840-8_26","title":"Feature Selection by Bayesian Networks","display_name":"Feature Selection by Bayesian Networks","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W1604478529","doi":"https://doi.org/10.1007/978-3-540-24840-8_26","mag":"1604478529"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-24840-8_26","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-24840-8_26","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5056213327","display_name":"Estevam Hruschka","orcid":"https://orcid.org/0000-0003-1499-2808"},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]},{"id":"https://openalex.org/I180669731","display_name":"Universidade Cat\u00f3lica de Santos","ror":"https://ror.org/00vcyhn10","country_code":"BR","type":"education","lineage":["https://openalex.org/I180669731"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Estevam R. Hruschka","raw_affiliation_strings":["COPPE / Universidade Federal do Rio de Janeiro, Bloco B, Sala 100, Caixa Postal 68506, CEP 21945-970, Rio de Janeiro, RJ, Brasil","Universidade Cat\u00f3lica de Santos (UniSantos), Rua Carvalho de Mendon\u00e7a, 144, CEP 11.070-906, Santos, SP, Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"COPPE / Universidade Federal do Rio de Janeiro, Bloco B, Sala 100, Caixa Postal 68506, CEP 21945-970, Rio de Janeiro, RJ, Brasil","institution_ids":["https://openalex.org/I122140584"]},{"raw_affiliation_string":"Universidade Cat\u00f3lica de Santos (UniSantos), Rua Carvalho de Mendon\u00e7a, 144, CEP 11.070-906, Santos, SP, Brasil","institution_ids":["https://openalex.org/I180669731"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021283579","display_name":"Eduardo R. Hruschka","orcid":"https://orcid.org/0000-0002-9529-8916"},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]},{"id":"https://openalex.org/I180669731","display_name":"Universidade Cat\u00f3lica de Santos","ror":"https://ror.org/00vcyhn10","country_code":"BR","type":"education","lineage":["https://openalex.org/I180669731"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Eduardo R. Hruschka","raw_affiliation_strings":["COPPE / Universidade Federal do Rio de Janeiro, Bloco B, Sala 100, Caixa Postal 68506, CEP 21945-970, Rio de Janeiro, RJ, Brasil","Universidade Cat\u00f3lica de Santos (UniSantos), Rua Carvalho de Mendon\u00e7a, 144, CEP 11.070-906, Santos, SP, Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"COPPE / Universidade Federal do Rio de Janeiro, Bloco B, Sala 100, Caixa Postal 68506, CEP 21945-970, Rio de Janeiro, RJ, Brasil","institution_ids":["https://openalex.org/I122140584"]},{"raw_affiliation_string":"Universidade Cat\u00f3lica de Santos (UniSantos), Rua Carvalho de Mendon\u00e7a, 144, CEP 11.070-906, Santos, SP, Brasil","institution_ids":["https://openalex.org/I180669731"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021766596","display_name":"Nelson F. F. Ebecken","orcid":"https://orcid.org/0000-0003-4928-0966"},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Nelson F. F. Ebecken","raw_affiliation_strings":["COPPE / Universidade Federal do Rio de Janeiro, Bloco B, Sala 100, Caixa Postal 68506, CEP 21945-970, Rio de Janeiro, RJ, Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"COPPE / Universidade Federal do Rio de Janeiro, Bloco B, Sala 100, Caixa Postal 68506, CEP 21945-970, Rio de Janeiro, RJ, Brasil","institution_ids":["https://openalex.org/I122140584"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.6462,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.90555953,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"370","last_page":"379"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9842000007629395,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.963100016117096,"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/markov-blanket","display_name":"Markov blanket","score":0.90717613697052},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8226184248924255},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7430664300918579},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5955207943916321},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.55506831407547},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5438095331192017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5164928436279297},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4885176420211792},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4781269133090973},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.44892874360084534},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.44087427854537964},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4214741587638855},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4169306457042694},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4129420816898346},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.3507789969444275},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.10205289721488953}],"concepts":[{"id":"https://openalex.org/C123867240","wikidata":"https://www.wikidata.org/wiki/Q3001792","display_name":"Markov blanket","level":5,"score":0.90717613697052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8226184248924255},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7430664300918579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5955207943916321},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.55506831407547},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5438095331192017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5164928436279297},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4885176420211792},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4781269133090973},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.44892874360084534},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.44087427854537964},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4214741587638855},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4169306457042694},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4129420816898346},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.3507789969444275},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.10205289721488953},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-540-24840-8_26","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-24840-8_26","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W208128215","https://openalex.org/W347787326","https://openalex.org/W1523293200","https://openalex.org/W1524326598","https://openalex.org/W1570448133","https://openalex.org/W1570713908","https://openalex.org/W1849729440","https://openalex.org/W2008906462","https://openalex.org/W2040884411","https://openalex.org/W2084812512","https://openalex.org/W2113298003","https://openalex.org/W2119479037","https://openalex.org/W2123504579","https://openalex.org/W2126430683","https://openalex.org/W2140190241","https://openalex.org/W2142857211","https://openalex.org/W2143718527","https://openalex.org/W2159080219","https://openalex.org/W2167191085","https://openalex.org/W2170653744","https://openalex.org/W2216227678","https://openalex.org/W2435251607","https://openalex.org/W2466512847","https://openalex.org/W2966207845","https://openalex.org/W2982720039","https://openalex.org/W4212848460","https://openalex.org/W4243217231","https://openalex.org/W4285719527","https://openalex.org/W4300305993"],"related_works":["https://openalex.org/W49111948","https://openalex.org/W3207148653","https://openalex.org/W2994546694","https://openalex.org/W4206306045","https://openalex.org/W2084326697","https://openalex.org/W2027903142","https://openalex.org/W2307705085","https://openalex.org/W2354322608","https://openalex.org/W2804608325","https://openalex.org/W3023326395"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}