{"id":"https://openalex.org/W2128614036","doi":"https://doi.org/10.1109/nabic.2010.5716365","title":"Evolutionary inspired optimization of feature subset ensembles","display_name":"Evolutionary inspired optimization of feature subset ensembles","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2128614036","doi":"https://doi.org/10.1109/nabic.2010.5716365","mag":"2128614036"},"language":"en","primary_location":{"id":"doi:10.1109/nabic.2010.5716365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nabic.2010.5716365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC)","raw_type":"proceedings-article"},"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/A5027657184","display_name":"Sonja Dominik","orcid":"https://orcid.org/0000-0002-1942-8539"},"institutions":[{"id":"https://openalex.org/I4210137370","display_name":"Institute of Mathematics","ror":"https://ror.org/04hrrh248","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210137370","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I4654613","display_name":"University of Warsaw","ror":"https://ror.org/039bjqg32","country_code":"PL","type":"education","lineage":["https://openalex.org/I4654613"]},{"id":"https://openalex.org/I47996466","display_name":"University of Warmia and Mazury in Olsztyn","ror":"https://ror.org/05s4feg49","country_code":"PL","type":"education","lineage":["https://openalex.org/I47996466"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Dominik S","raw_affiliation_strings":["Institute of Mathematics, University of Warsaw, Warsaw, Poland","Institute of Mathematics, University of Warmia and Mazury, Warsaw, Poland","Infobright Inc., Warsaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mathematics, University of Warsaw, Warsaw, Poland","institution_ids":["https://openalex.org/I4210137370","https://openalex.org/I4654613"]},{"raw_affiliation_string":"Institute of Mathematics, University of Warmia and Mazury, Warsaw, Poland","institution_ids":["https://openalex.org/I4210137370","https://openalex.org/I47996466"]},{"raw_affiliation_string":"Infobright Inc., Warsaw, Poland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057412952","display_name":"Sebastian Widz","orcid":"https://orcid.org/0000-0003-1949-447X"},"institutions":[{"id":"https://openalex.org/I66083562","display_name":"Systems Research Institute","ror":"https://ror.org/0111cp837","country_code":"PL","type":"facility","lineage":["https://openalex.org/I66083562","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I99542240","display_name":"Polish Academy of Sciences","ror":"https://ror.org/01dr6c206","country_code":"PL","type":"government","lineage":["https://openalex.org/I99542240"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Sebastian Widz","raw_affiliation_strings":["Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland","XPLUS SA, G\u017ceg\u017c\u00f3\u0142tki 4, Warsaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland","institution_ids":["https://openalex.org/I66083562","https://openalex.org/I99542240"]},{"raw_affiliation_string":"XPLUS SA, G\u017ceg\u017c\u00f3\u0142tki 4, Warsaw, Poland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"437","last_page":"442"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9969000220298767,"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"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9969000220298767,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9909999966621399,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9854999780654907,"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/heuristics","display_name":"Heuristics","score":0.7522079348564148},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7208922505378723},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6640821695327759},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.653626024723053},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6187232732772827},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.613226592540741},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5976475477218628},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4904496371746063},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4546932578086853},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33812621235847473}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.7522079348564148},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7208922505378723},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6640821695327759},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.653626024723053},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6187232732772827},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.613226592540741},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5976475477218628},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4904496371746063},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4546932578086853},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33812621235847473},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nabic.2010.5716365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nabic.2010.5716365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC)","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":15,"referenced_works":["https://openalex.org/W140777655","https://openalex.org/W144179781","https://openalex.org/W1531461924","https://openalex.org/W1575009136","https://openalex.org/W1680797894","https://openalex.org/W1989373239","https://openalex.org/W2100253618","https://openalex.org/W2124868070","https://openalex.org/W2143196848","https://openalex.org/W2143451122","https://openalex.org/W2145715569","https://openalex.org/W2487087946","https://openalex.org/W3140907457","https://openalex.org/W4210774122","https://openalex.org/W6605814005"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2280422768","https://openalex.org/W3143197806","https://openalex.org/W4252555497","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W3121175838","https://openalex.org/W2951187577","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"We":[0,26,43],"propose":[1],"a":[2,23],"framework":[3,82],"for":[4,6,18,47,59],"searching":[5],"the":[7,16,28,54],"sets":[8],"of":[9,33,49,61],"feature":[10,35,41,50],"subsets":[11,51],"that":[12,37],"can":[13],"serve":[14],"as":[15,56,58],"bases":[17],"learning":[19],"local":[20],"classifiers":[21],"within":[22],"classifier":[24],"ensemble.":[25],"follow":[27],"methodology":[29],"based":[30],"on":[31,85],"evaluation":[32,60],"random":[34],"permutations":[36],"produce":[38],"locally":[39],"optimal":[40],"subsets.":[42],"investigate":[44],"various":[45],"heuristics":[46],"selection":[48],"(permutations)":[52],"into":[53],"ensembles,":[55],"well":[57],"those":[62],"ensembles":[63],"with":[64],"respect":[65],"to":[66,74],"their":[67,72],"predicted":[68],"classification":[69],"accuracy":[70],"and":[71],"ability":[73],"clearly":[75],"represent":[76],"dependencies":[77],"in":[78],"data.":[79],"The":[80],"obtained":[81],"is":[83],"verified":[84],"four":[86],"representative":[87],"benchmark":[88],"data":[89],"sets.":[90],"Further":[91],"research":[92],"directions":[93],"are":[94],"identified.":[95]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}