{"id":"https://openalex.org/W1773364236","doi":"https://doi.org/10.3233/fi-2013-909","title":"Random Reducts: A Monte Carlo Rough Set-based Method for Feature Selection in Large Datasets","display_name":"Random Reducts: A Monte Carlo Rough Set-based Method for Feature Selection in Large Datasets","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W1773364236","doi":"https://doi.org/10.3233/fi-2013-909","mag":"1773364236"},"language":"en","primary_location":{"id":"doi:10.3233/fi-2013-909","is_oa":false,"landing_page_url":"https://doi.org/10.3233/fi-2013-909","pdf_url":null,"source":{"id":"https://openalex.org/S39012697","display_name":"Fundamenta Informaticae","issn_l":"0169-2968","issn":["0169-2968","1875-8681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fundamenta Informaticae","raw_type":"journal-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/A5080840883","display_name":"Marcin Kruczyk","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134719","display_name":"Postgraduate School of Molecular Medicine","ror":"https://ror.org/03jgmfc14","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210134719"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Marcin Kruczyk","raw_affiliation_strings":["Postgraduate School of Molecular Medicine, Warsaw, Poland. marcin.kruczyk@icm.uu.se","Postgraduate School of Molecular Medicine, Warsaw, Poland. marcin.kruczyk@icm.uu.se#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Postgraduate School of Molecular Medicine, Warsaw, Poland. marcin.kruczyk@icm.uu.se","institution_ids":["https://openalex.org/I4210134719"]},{"raw_affiliation_string":"Postgraduate School of Molecular Medicine, Warsaw, Poland. marcin.kruczyk@icm.uu.se#TAB#","institution_ids":["https://openalex.org/I4210134719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013669016","display_name":"Nicholas Baltzer","orcid":"https://orcid.org/0000-0001-8505-403X"},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Nicholas Baltzer","raw_affiliation_strings":["Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden. nicholas.baltzer@gmail.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden. nicholas.baltzer@gmail.com","institution_ids":["https://openalex.org/I123387679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033742662","display_name":"Jakub Mieczkowski","orcid":"https://orcid.org/0000-0002-2091-012X"},"institutions":[{"id":"https://openalex.org/I16778253","display_name":"Instytut Biologii Do\u015bwiadczalnej im. Marcelego Nenckiego","ror":"https://ror.org/04waf7p94","country_code":"PL","type":"facility","lineage":["https://openalex.org/I16778253","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":"Jakub Mieczkowski","raw_affiliation_strings":["Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland. j.mieczkowski@nencki.gov.pl"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland. j.mieczkowski@nencki.gov.pl","institution_ids":["https://openalex.org/I16778253","https://openalex.org/I99542240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011111060","display_name":"Micha\u0142 Drami\u0144ski","orcid":"https://orcid.org/0000-0002-0354-5917"},"institutions":[{"id":"https://openalex.org/I4210087266","display_name":"Institute of Computer Science","ror":"https://ror.org/003fvp964","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210087266","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":"Micha\u0142 Drami\u0144ski","raw_affiliation_strings":["Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland. michal.draminski@gmail.com","Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland. michal.draminski@gmail.com#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland. michal.draminski@gmail.com","institution_ids":["https://openalex.org/I4210087266","https://openalex.org/I99542240"]},{"raw_affiliation_string":"Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland. michal.draminski@gmail.com#TAB#","institution_ids":["https://openalex.org/I99542240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049952203","display_name":"Jacek Koronacki","orcid":"https://orcid.org/0000-0003-2189-0041"},"institutions":[{"id":"https://openalex.org/I4210087266","display_name":"Institute of Computer Science","ror":"https://ror.org/003fvp964","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210087266","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":"Jacek Koronacki","raw_affiliation_strings":["Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland. Jacek.Koronacki@ipipan.waw.pl"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland. Jacek.Koronacki@ipipan.waw.pl","institution_ids":["https://openalex.org/I4210087266","https://openalex.org/I99542240"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050406527","display_name":"Jan Komorowski","orcid":"https://orcid.org/0000-0002-0766-8789"},"institutions":[{"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"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jan Komorowski","raw_affiliation_strings":["Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw, Warsaw, Poland. jan.komorowski@lcb.uu.se","Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw, Warsaw, Poland. jan.komorowski@lcb.uu.se#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw, Warsaw, Poland. jan.komorowski@lcb.uu.se","institution_ids":["https://openalex.org/I4654613"]},{"raw_affiliation_string":"Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw, Warsaw, Poland. jan.komorowski@lcb.uu.se#TAB#","institution_ids":["https://openalex.org/I4654613"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7825,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.84212359,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"127","issue":"1-4","first_page":"273","last_page":"288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998000264167786,"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":0.9998000264167786,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9456999897956848,"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"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9246000051498413,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.705379843711853},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.6949736475944519},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6576912999153137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.579065203666687},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5177130699157715},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.511816680431366},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48994606733322144},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47957342863082886},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47595974802970886},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36980924010276794},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35342058539390564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35221898555755615},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20549139380455017}],"concepts":[{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.705379843711853},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.6949736475944519},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6576912999153137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.579065203666687},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5177130699157715},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.511816680431366},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48994606733322144},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47957342863082886},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47595974802970886},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36980924010276794},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35342058539390564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35221898555755615},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20549139380455017},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/fi-2013-909","is_oa":false,"landing_page_url":"https://doi.org/10.3233/fi-2013-909","pdf_url":null,"source":{"id":"https://openalex.org/S39012697","display_name":"Fundamenta Informaticae","issn_l":"0169-2968","issn":["0169-2968","1875-8681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fundamenta Informaticae","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W190934746","https://openalex.org/W1503017171","https://openalex.org/W1553701556","https://openalex.org/W1557923305","https://openalex.org/W1601938650","https://openalex.org/W1605308969","https://openalex.org/W2051203581","https://openalex.org/W2116459725","https://openalex.org/W2169529715"],"related_works":["https://openalex.org/W2392963705","https://openalex.org/W2107349454","https://openalex.org/W2382278777","https://openalex.org/W2167403502","https://openalex.org/W2353240132","https://openalex.org/W1587347718","https://openalex.org/W2375932290","https://openalex.org/W1964260090","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"An":[0],"important":[1],"step":[2],"prior":[3],"to":[4,23,134,148],"constructing":[5],"a":[6,9,25,93],"classifier":[7],"for":[8],"very":[10],"large":[11],"data":[12,38,153],"set":[13],"is":[14,21,104,132],"feature":[15,43,64,94,121],"selection.":[16],"With":[17],"many":[18,42],"problems":[19],"it":[20],"possible":[22],"find":[24,149],"subset":[26],"of":[27,49,63,139],"attributes":[28],"that":[29,129],"have":[30],"the":[31,36,73,77,81,107,120,130,141,152],"same":[32,74,78],"discriminative":[33],"power":[34],"as":[35,80],"full":[37],"set.":[39,154],"There":[40],"are":[41,51],"selection":[44,65,95,122],"methods":[45,62],"but":[46],"in":[47,119,151],"none":[48],"them":[50],"Rough":[52,116],"Set":[53,117],"models":[54],"tied":[55],"up":[56],"with":[57],"statistical":[58],"argumentation.":[59],"Moreover,":[60],"known":[61],"usually":[66],"discard":[67],"shadowed":[68,137],"features,":[69],"i.e.":[70],"those":[71],"carrying":[72],"or":[75],"partially":[76],"information":[79],"selected":[82],"features.":[83],"In":[84],"this":[85],"study":[86],"we":[87,127],"present":[88],"Random":[89],"Reducts":[90],"(RR)":[91],"-":[92],"method":[96,103,131],"which":[97,140],"precedes":[98],"classification":[99],"per":[100],"se.":[101],"The":[102],"based":[105],"on":[106],"Monte":[108],"Carlo":[109],"Feature":[110],"Selection":[111],"(MCFS)":[112],"layout":[113],"and":[114,147],"uses":[115],"Theory":[118],"process.":[123],"On":[124],"synthetic":[125],"data,":[126],"demonstrate":[128],"able":[133],"select":[135],"otherwise":[136],"features":[138],"user":[142],"should":[143],"be":[144],"made":[145],"aware,":[146],"interactions":[150]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
