{"id":"https://openalex.org/W2111272078","doi":"https://doi.org/10.1109/fuzz.2003.1209447","title":"A boosting algorithm with subset selection of training patterns","display_name":"A boosting algorithm with subset selection of training patterns","publication_year":2004,"publication_date":"2004-06-03","ids":{"openalex":"https://openalex.org/W2111272078","doi":"https://doi.org/10.1109/fuzz.2003.1209447","mag":"2111272078"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz.2003.1209447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2003.1209447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","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/A5036331063","display_name":"Tomoharu Nakashima","orcid":"https://orcid.org/0000-0002-1443-0816"},"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":true,"raw_author_name":"T. Nakashima","raw_affiliation_strings":["Department of Industrial Engineering, Osaka Prefecture University, Sakai, Osaka, Japan","[Dept. of Ind. Eng., Osaka Prefecture Univ., Japan]"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Osaka Prefecture University, Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]},{"raw_affiliation_string":"[Dept. of Ind. Eng., Osaka Prefecture Univ., Japan]","institution_ids":["https://openalex.org/I15807432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064039194","display_name":"G. Nakai","orcid":null},"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":"G. Nakai","raw_affiliation_strings":["Department of Industrial Engineering, Osaka Prefecture University, Sakai, Osaka, Japan","[Dept. of Ind. Eng., Osaka Prefecture Univ., Japan]"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Osaka Prefecture University, Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]},{"raw_affiliation_string":"[Dept. of Ind. Eng., Osaka Prefecture Univ., Japan]","institution_ids":["https://openalex.org/I15807432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035595838","display_name":"Hisao Ishibuchi","orcid":"https://orcid.org/0000-0001-9186-6472"},"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":"H. Ishibuchi","raw_affiliation_strings":["Department of Industrial Engineering, Osaka Prefecture University, Sakai, Osaka, Japan","[Dept. of Ind. Eng., Osaka Prefecture Univ., Japan]"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Osaka Prefecture University, Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]},{"raw_affiliation_string":"[Dept. of Ind. Eng., Osaka Prefecture Univ., Japan]","institution_ids":["https://openalex.org/I15807432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036331063"],"corresponding_institution_ids":["https://openalex.org/I15807432"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11995456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"690","last_page":"695"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9998000264167786,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9998000264167786,"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/T10320","display_name":"Neural Networks and Applications","score":0.9936000108718872,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9742000102996826,"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/boosting","display_name":"Boosting (machine learning)","score":0.7995243072509766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6245015263557434},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6099693775177002},{"id":"https://openalex.org/keywords/classification-rule","display_name":"Classification rule","score":0.5360690951347351},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5173901319503784},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49691155552864075},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.49362385272979736},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.47453629970550537},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.473419725894928},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4509075880050659},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.4484614133834839},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3988305330276489},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.3943136930465698}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7995243072509766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6245015263557434},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6099693775177002},{"id":"https://openalex.org/C104317236","wikidata":"https://www.wikidata.org/wiki/Q4330126","display_name":"Classification rule","level":2,"score":0.5360690951347351},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5173901319503784},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49691155552864075},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.49362385272979736},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.47453629970550537},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.473419725894928},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4509075880050659},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.4484614133834839},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3988305330276489},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.3943136930465698},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz.2003.1209447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2003.1209447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W1527532036","https://openalex.org/W1966363240","https://openalex.org/W1988790447","https://openalex.org/W1992408997","https://openalex.org/W2020538533","https://openalex.org/W2062167100","https://openalex.org/W2062706881","https://openalex.org/W2063828223","https://openalex.org/W2090415868","https://openalex.org/W2098351657","https://openalex.org/W2116896485","https://openalex.org/W2127099662","https://openalex.org/W2135293965","https://openalex.org/W2135423934","https://openalex.org/W2150884987","https://openalex.org/W2154231986","https://openalex.org/W2158875652","https://openalex.org/W2159033850","https://openalex.org/W2164568552","https://openalex.org/W6631329039"],"related_works":["https://openalex.org/W1509860440","https://openalex.org/W2156706185","https://openalex.org/W2119157339","https://openalex.org/W2425308538","https://openalex.org/W2151351600","https://openalex.org/W2171646384","https://openalex.org/W1980652001","https://openalex.org/W1504871275","https://openalex.org/W1532864123","https://openalex.org/W2141138062"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,27,40,56,72,89,95,102],"boosting":[4,143],"algorithm":[5,144],"of":[6,30,35,97,113,126,141],"fuzzy":[7,19,41,104,147],"rule-based":[8,20,42,105,148],"systems":[9,22,150],"for":[10,38,55,100,145],"pattern":[11,58,154],"classification":[12,21,43,106,149,155],"problems.":[13,156],"In":[14,134],"the":[15,69,110,121,124,139,142,146],"proposed":[16],"algorithm,":[17],"several":[18,152],"are":[23,82,92],"incrementally":[24],"constructed":[25],"from":[26,116],"small":[28],"number":[29,112,125],"training":[31,36,57,79,98,114,127],"patterns.":[32],"A":[33],"subset":[34,96],"patterns":[37,80,87,99,115,128],"constructing":[39,101],"system":[44],"is":[45,59,63,75,132],"chosen":[46],"according":[47],"to":[48,51,77],"weights":[49],"associated":[50],"them.":[52],"The":[53],"weight":[54,74,91],"high":[60],"when":[61],"it":[62],"correctly":[64],"classified":[65],"many":[66,84],"times.":[67,85],"On":[68],"other":[70],"hand,":[71],"low":[73,90],"assigned":[76],"those":[78],"that":[81,120],"misclassified":[83],"Training":[86],"with":[88],"included":[93],"in":[94,123],"single":[103],"system.":[107],"We":[108],"select":[109],"same":[111],"each":[117],"class":[118],"so":[119],"bias":[122],"among":[129],"different":[130],"classes":[131],"minimized.":[133],"computer":[135],"simulations,":[136],"we":[137],"examine":[138],"performance":[140],"on":[151],"real-world":[153]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}