{"id":"https://openalex.org/W2588105310","doi":"https://doi.org/10.1109/ssci.2016.7849924","title":"FSS-OBOP: Feature subset selection guided by a bucket order consensus ranking","display_name":"FSS-OBOP: Feature subset selection guided by a bucket order consensus ranking","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2588105310","doi":"https://doi.org/10.1109/ssci.2016.7849924","mag":"2588105310"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2016.7849924","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5054628996","display_name":"Juan A. Aledo","orcid":"https://orcid.org/0000-0003-1786-8087"},"institutions":[{"id":"https://openalex.org/I79189158","display_name":"University of Castilla-La Mancha","ror":"https://ror.org/05r78ng12","country_code":"ES","type":"funder","lineage":["https://openalex.org/I79189158"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Juan A. Aledo","raw_affiliation_strings":["Departamento de Matem\u00e1ticas, Universidad de Castilla-La Mancha, Albacete, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Matem\u00e1ticas, Universidad de Castilla-La Mancha, Albacete, Spain","institution_ids":["https://openalex.org/I79189158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112252519","display_name":"Jose A. Ga","orcid":null},"institutions":[{"id":"https://openalex.org/I79189158","display_name":"University of Castilla-La Mancha","ror":"https://ror.org/05r78ng12","country_code":"ES","type":"funder","lineage":["https://openalex.org/I79189158"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose A. Ga","raw_affiliation_strings":["Departamento de Sistemas Inform\u00e1ticos, Universidad de Castilla-La Mancha, Albacete, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Sistemas Inform\u00e1ticos, Universidad de Castilla-La Mancha, Albacete, Spain","institution_ids":["https://openalex.org/I79189158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109360819","display_name":"David Molina","orcid":null},"institutions":[{"id":"https://openalex.org/I79189158","display_name":"University of Castilla-La Mancha","ror":"https://ror.org/05r78ng12","country_code":"ES","type":"funder","lineage":["https://openalex.org/I79189158"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"David Molina","raw_affiliation_strings":["Departamento de Matem\u00e1ticas, Universidad de Castilla-La Mancha, Ciudad Real, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Matem\u00e1ticas, Universidad de Castilla-La Mancha, Ciudad Real, Spain","institution_ids":["https://openalex.org/I79189158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102978153","display_name":"Alejandro Rosete Su\u00e1rez","orcid":"https://orcid.org/0000-0002-4579-3556"},"institutions":[{"id":"https://openalex.org/I908025542","display_name":"Polytechnic Jos\u00e9 Antonio Echeverr\u00eda","ror":"https://ror.org/0573cnq15","country_code":"CU","type":"education","lineage":["https://openalex.org/I908025542"]}],"countries":["CU"],"is_corresponding":false,"raw_author_name":"Alejandro Rosete","raw_affiliation_strings":["Cujae, Instituto Superior Polit\u00e9cnico Jos\u00e9 Antonio Echeverr\u00eda, Havana, Cuba"],"affiliations":[{"raw_affiliation_string":"Cujae, Instituto Superior Polit\u00e9cnico Jos\u00e9 Antonio Echeverr\u00eda, Havana, Cuba","institution_ids":["https://openalex.org/I908025542"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":1,"citation_normalized_percentile":{"value":0.322311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":66,"max":73},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9947,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9947,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9588,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9521,"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/benchmark","display_name":"Benchmark (surveying)","score":0.6292023},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.48584434}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.73057437},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6908791},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.67793083},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6292023},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.61351156},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.53811365},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.53651166},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5324693},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.50051665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48936528},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.48584434},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17095184},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2016.7849924","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":42,"referenced_works":["https://openalex.org/W122736534","https://openalex.org/W1504694836","https://openalex.org/W1504922247","https://openalex.org/W1528493411","https://openalex.org/W1565746575","https://openalex.org/W1585743408","https://openalex.org/W1661871015","https://openalex.org/W167735339","https://openalex.org/W1912123407","https://openalex.org/W1971005895","https://openalex.org/W1972225389","https://openalex.org/W1985514943","https://openalex.org/W2001502947","https://openalex.org/W2023570227","https://openalex.org/W2032070217","https://openalex.org/W2051834357","https://openalex.org/W2064342429","https://openalex.org/W2077651660","https://openalex.org/W2094521154","https://openalex.org/W2096081771","https://openalex.org/W2100805904","https://openalex.org/W2110288539","https://openalex.org/W2111629426","https://openalex.org/W2125055259","https://openalex.org/W2132166479","https://openalex.org/W2149775297","https://openalex.org/W2155758104","https://openalex.org/W2156504490","https://openalex.org/W2158856152","https://openalex.org/W2162162988","https://openalex.org/W2165250079","https://openalex.org/W2321316659","https://openalex.org/W2357539744","https://openalex.org/W2400338616","https://openalex.org/W2403894961","https://openalex.org/W2408246687","https://openalex.org/W2497663052","https://openalex.org/W2608796280","https://openalex.org/W2617780799","https://openalex.org/W2998216295","https://openalex.org/W4250090323","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W915438175","https://openalex.org/W4321353415","https://openalex.org/W4246352526","https://openalex.org/W3160516639","https://openalex.org/W2745001401","https://openalex.org/W2378211422","https://openalex.org/W2130974462","https://openalex.org/W2121910908","https://openalex.org/W2086519370","https://openalex.org/W2028665553"],"abstract_inverted_index":{"Several":[0],"authors":[1],"have":[2],"ton":[3],"the":[4,8,19,23,28,48,54,67,73,77,84,111,129,145,160],"importance":[5],"of":[6,10,25,34,50,75,82,162],"aggregating":[7,59],"results":[9],"different":[11],"feature":[12],"selection":[13,62],"methods":[14],"in":[15,32,53,128],"order":[16],"to":[17,109,133,138],"improve":[18],"solutions":[20],"obtained.":[21],"To":[22],"best":[24],"our":[26],"knowledge,":[27],"consensus":[29,55,68,105,130],"rankings":[30,131],"obtained":[31,57],"all":[33],"these":[35],"proposals":[36],"do":[37],"not":[38,148],"allow":[39],"that":[40,66,96,125],"some":[41],"variables":[42],"are":[43],"tied.":[44],"This":[45,64],"paper":[46,90],"studies":[47],"advantages":[49],"allowing":[51,126],"ties":[52,108,127],"ranking":[56,69,106],"from":[58],"several":[60],"features":[61],"methods.":[63],"implies":[65],"is":[70,154],"modeled":[71],"as":[72],"problem":[74],"obtaining":[76],"Optimal":[78],"Bucket":[79],"Order":[80],"instead":[81],"solving":[83],"Rank":[85],"Aggregation":[86],"Problem.":[87],"In":[88],"this":[89],"we":[91,97,123],"propose":[92],"a":[93,103,117,140],"filter-wrapper":[94],"algorithm,":[95],"will":[98],"call":[99],"FSS-OBOP,":[100],"which":[101],"uses":[102],"filter-based":[104],"with":[107,119],"guide":[110],"posterior":[112],"wrapper":[113,163],"phase.":[114],"By":[115],"using":[116],"benchmark":[118],"12":[120],"high-dimensional":[121],"datasets,":[122],"show":[124],"leads":[132],"subsets":[134],"that,":[135],"when":[136,147],"used":[137],"induce":[139],"classifier,":[141],"obtain":[142],"at":[143],"least":[144],"same,":[146],"better,":[149],"accuracy.":[150],"Furthermore,":[151],"and":[152],"what":[153],"actually":[155],"more":[156],"significant,":[157],"they":[158],"reduce":[159],"number":[161],"evaluations":[164],"extraordinarily.":[165]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2588105310","counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-04-16T21:11:10.515956","created_date":"2017-02-24"}