{"id":"https://openalex.org/W2397044210","doi":"https://doi.org/10.1109/tcyb.2015.2444435","title":"Identifying (Quasi) Equally Informative Subsets in Feature Selection Problems for Classification: A Max-Relevance Min-Redundancy Approach","display_name":"Identifying (Quasi) Equally Informative Subsets in Feature Selection Problems for Classification: A Max-Relevance Min-Redundancy Approach","publication_year":2015,"publication_date":"2015-07-07","ids":{"openalex":"https://openalex.org/W2397044210","doi":"https://doi.org/10.1109/tcyb.2015.2444435","mag":"2397044210","pmid":"https://pubmed.ncbi.nlm.nih.gov/26151949"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2015.2444435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2015.2444435","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":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11511/46278","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004109876","display_name":"G\u00fcl\u015fah Karakaya","orcid":"https://orcid.org/0000-0001-9061-103X"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Gulsah Karakaya","raw_affiliation_strings":["Pillar of Engineering Systems and Design, Singapore University of Technology and Design, Singapore"],"affiliations":[{"raw_affiliation_string":"Pillar of Engineering Systems and Design, Singapore University of Technology and Design, Singapore","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019223228","display_name":"Stefano Galelli","orcid":"https://orcid.org/0000-0003-2316-3243"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Stefano Galelli","raw_affiliation_strings":["Pillar of Engineering Systems and Design, Singapore University of Technology and Design, Singapore"],"affiliations":[{"raw_affiliation_string":"Pillar of Engineering Systems and Design, Singapore University of Technology and Design, Singapore","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084109723","display_name":"Selin Damla Ahipa\u015fao\u011flu","orcid":"https://orcid.org/0000-0003-1371-315X"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Selin Damla Ahipasaoglu","raw_affiliation_strings":["Pillar of Engineering Systems and Design, Singapore University of Technology and Design, Singapore"],"affiliations":[{"raw_affiliation_string":"Pillar of Engineering Systems and Design, Singapore University of Technology and Design, Singapore","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009938897","display_name":"Riccardo Taormina","orcid":"https://orcid.org/0000-0002-1550-504X"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Riccardo Taormina","raw_affiliation_strings":["Pillar of Engineering Systems and Design, Singapore University of Technology and Design, Singapore"],"affiliations":[{"raw_affiliation_string":"Pillar of Engineering Systems and Design, Singapore University of Technology and Design, Singapore","institution_ids":["https://openalex.org/I152815399"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004109876"],"corresponding_institution_ids":["https://openalex.org/I152815399"],"apc_list":null,"apc_paid":null,"fwci":5.8061,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.96278917,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"46","issue":"6","first_page":"1424","last_page":"1437"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9990000128746033,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9990000128746033,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9990000128746033,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9987000226974487,"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/feature-selection","display_name":"Feature selection","score":0.6823583841323853},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6199495196342468},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.6080448627471924},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5087454915046692},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.4973008930683136},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.47611719369888306},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46979889273643494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4564904570579529},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4476567208766937},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.44279390573501587},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4210619330406189},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37763166427612305},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35355067253112793},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.19931089878082275}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6823583841323853},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6199495196342468},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.6080448627471924},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5087454915046692},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.4973008930683136},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.47611719369888306},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46979889273643494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4564904570579529},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4476567208766937},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.44279390573501587},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4210619330406189},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37763166427612305},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35355067253112793},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.19931089878082275},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tcyb.2015.2444435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2015.2444435","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:26151949","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26151949","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},{"id":"pmh:oai:eprints.soton.ac.uk:443176","is_oa":false,"landing_page_url":"https://eprints.soton.ac.uk/443176/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401019","display_name":"ePrints Soton (University of Southampton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I43439940","host_organization_name":"University of Southampton","host_organization_lineage":["https://openalex.org/I43439940"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:open.metu.edu.tr:11511/46278","is_oa":true,"landing_page_url":"https://hdl.handle.net/11511/46278","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:open.metu.edu.tr:11511/46278","is_oa":true,"landing_page_url":"https://hdl.handle.net/11511/46278","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G7042029902","display_name":null,"funder_award_id":"SRG ESD 2012 033","funder_id":"https://openalex.org/F4320324110","funder_display_name":"Singapore University of Technology and Design"},{"id":"https://openalex.org/G8552101065","display_name":null,"funder_award_id":"SRG ESD 2013 061","funder_id":"https://openalex.org/F4320324110","funder_display_name":"Singapore University of Technology and Design"}],"funders":[{"id":"https://openalex.org/F4320324110","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1507231250","https://openalex.org/W1553373771","https://openalex.org/W1554944419","https://openalex.org/W1559049942","https://openalex.org/W1570448133","https://openalex.org/W1582211066","https://openalex.org/W1583700199","https://openalex.org/W1607660464","https://openalex.org/W1980713635","https://openalex.org/W1993717606","https://openalex.org/W1995875735","https://openalex.org/W2005292390","https://openalex.org/W2010345901","https://openalex.org/W2013885787","https://openalex.org/W2015743664","https://openalex.org/W2017337590","https://openalex.org/W2018401509","https://openalex.org/W2026131661","https://openalex.org/W2034338161","https://openalex.org/W2039537889","https://openalex.org/W2048541604","https://openalex.org/W2050297026","https://openalex.org/W2050399271","https://openalex.org/W2056132907","https://openalex.org/W2057928499","https://openalex.org/W2080956836","https://openalex.org/W2094164591","https://openalex.org/W2104492856","https://openalex.org/W2111072639","https://openalex.org/W2126105956","https://openalex.org/W2131987814","https://openalex.org/W2135069544","https://openalex.org/W2154053567","https://openalex.org/W2156571267","https://openalex.org/W2165654898","https://openalex.org/W2166317455","https://openalex.org/W2167757882","https://openalex.org/W2170505850","https://openalex.org/W2171033594","https://openalex.org/W2233798912","https://openalex.org/W2561080469","https://openalex.org/W2911964244","https://openalex.org/W2998216295","https://openalex.org/W3120740533","https://openalex.org/W4285719527","https://openalex.org/W6682904970","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2002177687","https://openalex.org/W2058438338","https://openalex.org/W2019471580","https://openalex.org/W2941284322","https://openalex.org/W4224920876","https://openalex.org/W2168299207","https://openalex.org/W4308671316","https://openalex.org/W2920945101","https://openalex.org/W2156571267","https://openalex.org/W2747166117"],"abstract_inverted_index":{"An":[0],"emerging":[1],"trend":[2],"in":[3,42,181,292],"feature":[4,90],"selection":[5,91],"is":[6,153,199],"the":[7,14,17,22,26,62,101,125,145,157,163,179,187,202,241,261,272,286,293,298],"development":[8],"of":[9,19,25,45,103,111,132,147,159,165,172,194,224,243,250,266,275,288,300],"two-objective":[10,206],"algorithms":[11],"that":[12,99,113,238,254],"analyze":[13],"tradeoff":[15,262],"between":[16,263],"number":[18,164,193],"features":[20],"and":[21,53,85,107,167,174,208,232,247,253,269,305,312],"classification":[23,122,267],"performance":[24,102,126,268],"model":[27],"built":[28,143],"with":[29,74],"these":[30,33],"features.":[31],"Since":[32],"two":[34,169],"objectives":[35],"are":[36,114,283],"conflicting,":[37],"a":[38,43,50,54,66,87,97,104,109,133,148,160,182,191,205,209,245,289],"typical":[39],"result":[40],"stands":[41],"set":[44,110,249],"Pareto-efficient":[46,195,251],"subsets,":[47],"each":[48,276],"having":[49],"different":[51],"cardinality":[52],"corresponding":[55],"discriminating":[56],"power.":[57],"However,":[58],"this":[59,83],"approach":[60,92,130],"overlooks":[61],"fact":[63],"that,":[64],"for":[65,136,214],"given":[67,105],"cardinality,":[68],"there":[69],"can":[70],"be":[71],"several":[72],"subsets":[73,112,282],"similar":[75],"information":[76],"content.":[77],"The":[78,129,197,278],"study":[79],"reported":[80],"here":[81],"addresses":[82],"problem,":[84,151],"introduces":[86],"novel":[88],"multiobjective":[89],"conceived":[93],"to":[94,124,189,297],"identify:":[95],"1)":[96,259],"subset":[98],"maximizes":[100],"classifier":[106],"2)":[108,270],"quasi":[115,279],"equally":[116,280],"informative,":[117],"i.e.,":[118],"have":[119],"almost":[120],"same":[121],"performance,":[123],"maximizing":[127,156],"subset.":[128],"consists":[131],"wrapper":[134,188,207],"[Wrapper":[135],"Quasi":[137,215],"Equally":[138,216],"Informative":[139,217],"Subset":[140,218],"Selection":[141,219],"(W-QEISS)]":[142],"on":[144,221],"formulation":[146],"four-objective":[149],"optimization":[150,311],"which":[152],"aimed":[154],"at":[155,285],"accuracy":[158],"classifier,":[161],"minimizing":[162],"features,":[166],"optimizing":[168],"entropy-based":[170],"measures":[171,265],"relevance":[173],"redundancy.":[175],"This":[176],"allows":[177],"conducting":[178],"search":[180],"larger":[183],"space,":[184],"thus":[185],"enabling":[186],"generate":[190],"large":[192],"solutions.":[196],"algorithm":[198],"compared":[200],"against":[201],"mRMR":[203],"algorithm,":[204],"computationally":[210],"efficient":[211],"filter":[212],"[Filter":[213],"(F-QEISS)]":[220],"24":[222],"University":[223],"California,":[225],"Irvine,":[226],"(UCI)":[227],"datasets":[228],"including":[229],"both":[230],"binary":[231],"multiclass":[233],"classification.":[234],"Experimental":[235],"results":[236],"show":[237],"W-QEISS":[239],"has":[240],"capability":[242],"evolving":[244],"rich":[246],"diverse":[248],"solutions,":[252],"their":[255],"availability":[256],"helps":[257],"in:":[258],"studying":[260],"multiple":[264],"understanding":[271],"relative":[273],"importance":[274],"feature.":[277],"informative":[281],"identified":[284],"cost":[287],"marginal":[290],"increase":[291],"computational":[294],"time":[295],"thanks":[296],"adoption":[299],"Borg":[301],"Multiobjective":[302],"Evolutionary":[303],"Algorithm":[304],"Extreme":[306],"Learning":[307],"Machine":[308],"as":[309],"global":[310],"learning":[313],"algorithms,":[314],"respectively.":[315]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
