{"id":"https://openalex.org/W3091850332","doi":"https://doi.org/10.1109/tcyb.2020.3018815","title":"Grab\u2019Em: A Novel Graph-Based Method for Combining Feature Subset Selectors","display_name":"Grab\u2019Em: A Novel Graph-Based Method for Combining Feature Subset Selectors","publication_year":2020,"publication_date":"2020-10-07","ids":{"openalex":"https://openalex.org/W3091850332","doi":"https://doi.org/10.1109/tcyb.2020.3018815","mag":"3091850332","pmid":"https://pubmed.ncbi.nlm.nih.gov/33027013"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2020.3018815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.3018815","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5009177503","display_name":"Aida de Haro-Garc\u00eda","orcid":"https://orcid.org/0000-0003-0194-8082"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Aida de Haro-Garcia","raw_affiliation_strings":["Department of Computing, University of Córdoba, Córdoba, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computing, University of Córdoba, Córdoba, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048458893","display_name":"Jos\u00e9 P\u00e9rez-Parras Toledano","orcid":"https://orcid.org/0000-0003-0932-9999"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jose Perez-Parras Toledano","raw_affiliation_strings":["Department of Computing, University of Córdoba, Córdoba, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computing, University of Córdoba, Córdoba, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062257972","display_name":"Gonzalo Cerruela Garc\u00eda","orcid":"https://orcid.org/0000-0001-9140-3347"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gonzalo Cerruela-Garcia","raw_affiliation_strings":["Department of Computing, University of Córdoba, Córdoba, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computing, University of Córdoba, Córdoba, Spain","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011401194","display_name":"Nicol\u00e1s Garc\u00eda\u2010Pedrajas","orcid":"https://orcid.org/0000-0002-4488-6849"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nicolas Garcia-Pedrajas","raw_affiliation_strings":["Department of Computing, University of Córdoba, Córdoba, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computing, University of Córdoba, Córdoba, Spain","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009177503"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.548,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.7408301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"52","issue":"5","first_page":"2942","last_page":"2954"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9973000288009644,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9973000288009644,"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":0.9959999918937683,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/feature-selection","display_name":"Feature selection","score":0.7469870448112488},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6306353807449341},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6032915711402893},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5944636464118958},{"id":"https://openalex.org/keywords/minimum-redundancy-feature-selection","display_name":"Minimum redundancy feature selection","score":0.5881584286689758},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5716087222099304},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5359528660774231},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5098130106925964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4505036175251007},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.4464428722858429},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4182552695274353},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.19921591877937317}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7469870448112488},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6306353807449341},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6032915711402893},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5944636464118958},{"id":"https://openalex.org/C16811321","wikidata":"https://www.wikidata.org/wiki/Q17138905","display_name":"Minimum redundancy feature selection","level":3,"score":0.5881584286689758},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5716087222099304},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5359528660774231},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5098130106925964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4505036175251007},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.4464428722858429},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4182552695274353},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19921591877937317},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2020.3018815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.3018815","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:33027013","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33027013","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G161914945","display_name":null,"funder_award_id":"UCO-1264182","funder_id":"https://openalex.org/F4320326754","funder_display_name":"Junta de Andaluc\u00eda"},{"id":"https://openalex.org/G5483492682","display_name":null,"funder_award_id":"TIN2015-66108-P","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"},{"id":"https://openalex.org/G7937805108","display_name":null,"funder_award_id":"PID2019-109481GB-I00","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"}],"funders":[{"id":"https://openalex.org/F4320322930","display_name":"Ministerio de Ciencia e Innovaci\u00f3n","ror":"https://ror.org/034900433"},{"id":"https://openalex.org/F4320326754","display_name":"Junta de Andaluc\u00eda","ror":"https://ror.org/01jem9c82"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1473627731","https://openalex.org/W1493036841","https://openalex.org/W1493357981","https://openalex.org/W1545302199","https://openalex.org/W1565746575","https://openalex.org/W1627728918","https://openalex.org/W1972401983","https://openalex.org/W1985900816","https://openalex.org/W1989051175","https://openalex.org/W1995806857","https://openalex.org/W2017337590","https://openalex.org/W2027902860","https://openalex.org/W2040775130","https://openalex.org/W2040884411","https://openalex.org/W2045519853","https://openalex.org/W2060542593","https://openalex.org/W2061692200","https://openalex.org/W2070556583","https://openalex.org/W2082453965","https://openalex.org/W2095174088","https://openalex.org/W2096119887","https://openalex.org/W2106525823","https://openalex.org/W2107406777","https://openalex.org/W2133143568","https://openalex.org/W2153922613","https://openalex.org/W2156571267","https://openalex.org/W2158334534","https://openalex.org/W2158724449","https://openalex.org/W2518522805","https://openalex.org/W2525549348","https://openalex.org/W2608839702","https://openalex.org/W2792362609","https://openalex.org/W2810226251","https://openalex.org/W2906662890","https://openalex.org/W2947395823","https://openalex.org/W2947451694","https://openalex.org/W2948009788","https://openalex.org/W3120740533","https://openalex.org/W4252684946","https://openalex.org/W6635383313","https://openalex.org/W6682904970"],"related_works":["https://openalex.org/W3120617324","https://openalex.org/W2156571267","https://openalex.org/W2998727463","https://openalex.org/W1838735596","https://openalex.org/W2350815964","https://openalex.org/W2805829984","https://openalex.org/W4388573469","https://openalex.org/W3036204000","https://openalex.org/W3135058836","https://openalex.org/W2747166117"],"abstract_inverted_index":{"Feature":[0],"selection":[1,34,45,56,75,107,207],"is":[2,85,124,211,242],"one":[3],"of":[4,53,66,73,90,118,129,148,155,169,180,185,230,234,249,264,272],"the":[5,22,51,64,70,88,101,115,127,130,136,152,183,192,198,219,222,225,228,246,252,256,262,265],"most":[6,60],"frequent":[7],"tasks":[8],"in":[9,39,135,269],"data":[10,40,79,276],"mining":[11],"applications.":[12],"Its":[13],"ability":[14],"to":[15,49,86,113,151,166,244],"remove":[16],"useless":[17],"and":[18,25,69,103,224,275],"redundant":[19,140],"features":[20,131,141,199],"improves":[21,261],"classification":[23],"performance":[24],"gains":[26],"knowledge":[27],"about":[28],"a":[29,35,78,98,110,145,161,176,187,205],"given":[30],"problem":[31],"makes":[32],"feature":[33,44,55,67,74,93,102,188,206,273,282],"common":[36,61],"first":[37],"step":[38],"mining.":[41],"In":[42,171],"many":[43,196],"applications,":[46],"we":[47,174],"need":[48],"combine":[50],"results":[52,263],"different":[54,106,153],"processes.":[57],"The":[58,82,209,259],"two":[59],"scenarios":[62],"are":[63,132,221],"ensembles":[65,271],"selectors":[68,274],"scaling":[71,280],"up":[72,281],"methods":[76,278],"using":[77,181],"division":[80,277],"approach.":[81],"standard":[83,266],"procedure":[84],"store":[87],"number":[89,147,184,229],"times":[91,149,186,197,231],"every":[92,232],"has":[94,189,236],"been":[95,190,201,237],"selected":[96,119,144,202,238],"as":[97,126],"vote":[99],"for":[100,279],"then":[104],"evaluate":[105],"thresholds":[108],"with":[109],"certain":[111],"criterion":[112],"obtain":[114],"final":[116],"subset":[117,248],"features.":[120],"However,":[121],"this":[122,172],"method":[123],"suboptimal":[125],"relationships":[128],"not":[133],"considered":[134],"voting":[137,162,257,267],"process.":[138],"Two":[139],"may":[142],"be":[143],"similar":[146],"due":[150],"sets":[154],"instances":[156,235],"used":[157,243],"each":[158],"time.":[159],"Thus,":[160],"scheme":[163,268],"would":[164],"tend":[165],"select":[167,245],"both":[168,270],"them.":[170],"article,":[173],"present":[175],"new":[177],"approach:":[178],"instead":[179],"only":[182],"selected,":[191],"approach":[193],"considers":[194],"how":[195],"have":[200],"together":[203],"by":[204,255],"algorithm.":[208],"proposal":[210,260],"based":[212],"on":[213],"constructing":[214],"an":[215],"undirected":[216],"graph":[217,241],"where":[218],"vertices":[220],"features,":[223,250],"edges":[226],"count":[227],"pair":[233],"together.":[239],"This":[240],"best":[247],"avoiding":[251],"redundancy":[253],"introduced":[254],"scheme.":[258],"selection.":[283]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}