{"id":"https://openalex.org/W2887269903","doi":"https://doi.org/10.1109/tcyb.2018.2859342","title":"Multiple Relevant Feature Ensemble Selection Based on Multilayer Co-Evolutionary Consensus MapReduce","display_name":"Multiple Relevant Feature Ensemble Selection Based on Multilayer Co-Evolutionary Consensus MapReduce","publication_year":2018,"publication_date":"2018-08-16","ids":{"openalex":"https://openalex.org/W2887269903","doi":"https://doi.org/10.1109/tcyb.2018.2859342","mag":"2887269903","pmid":"https://pubmed.ncbi.nlm.nih.gov/30130243"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2018.2859342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2018.2859342","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://opus.lib.uts.edu.au/bitstream/10453/130009/4/Multiple%2bRelevant%2bFeature%2bEnsemble%2bSelection%2bBased%2bon%2bMultilayer%2bCo-Evolutionary%2bConsensus%2bMapReduce.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069969191","display_name":"Weiping Ding","orcid":"https://orcid.org/0000-0002-3180-7347"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Ding","raw_affiliation_strings":["School of Computer Science and Technology, Nantong University, Nantong, China"],"raw_orcid":"https://orcid.org/0000-0002-3180-7347","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058936239","display_name":"Chin\u2010Teng Lin","orcid":"https://orcid.org/0000-0001-8371-8197"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chin-Teng Lin","raw_affiliation_strings":["Centre for Artificial Intelligence, FEIT, University of Technology Sydney, Ultimo, Australia"],"raw_orcid":"https://orcid.org/0000-0001-8371-8197","affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, FEIT, University of Technology Sydney, Ultimo, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003799782","display_name":"Witold Pedrycz","orcid":"https://orcid.org/0000-0002-9335-9930"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Witold Pedrycz","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alberta, Canada"],"raw_orcid":"https://orcid.org/0000-0002-9335-9930","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1206,"has_fulltext":true,"cited_by_count":65,"citation_normalized_percentile":{"value":0.9497893,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"50","issue":"2","first_page":"425","last_page":"439"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9976000189781189,"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":0.9976000189781189,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.989799976348877,"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":0.9883000254631042,"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":0.7666152715682983},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6295166015625},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6264353394508362},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6135748624801636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5091072916984558},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3924102783203125},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3763968050479889}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7666152715682983},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6295166015625},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6264353394508362},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6135748624801636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5091072916984558},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3924102783203125},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3763968050479889},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tcyb.2018.2859342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2018.2859342","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:30130243","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30130243","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:opus.lib.uts.edu.au:10453/130009","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/130009","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/130009/4/Multiple%2bRelevant%2bFeature%2bEnsemble%2bSelection%2bBased%2bon%2bMultilayer%2bCo-Evolutionary%2bConsensus%2bMapReduce.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:opus.lib.uts.edu.au:10453/130009","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/130009","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/130009/4/Multiple%2bRelevant%2bFeature%2bEnsemble%2bSelection%2bBased%2bon%2bMultilayer%2bCo-Evolutionary%2bConsensus%2bMapReduce.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5299999713897705,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G3388530367","display_name":"A neural fuzzy fusion engine for human-machine autonomous systems","funder_award_id":"DP180100670","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G3711735600","display_name":null,"funder_award_id":"61976120","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4679026377","display_name":null,"funder_award_id":"BK20191445","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G5816298421","display_name":"Cognitive intelligent information processing and presentation in navigation","funder_award_id":"DP180100656","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G6282591374","display_name":null,"funder_award_id":"61300167","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G923240192","display_name":null,"funder_award_id":"XYDXXJS-048","funder_id":"https://openalex.org/F4320326182","funder_display_name":"Six Talent Peaks Project in Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326182","display_name":"Six Talent Peaks Project in Jiangsu Province","ror":null},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2887269903.pdf","grobid_xml":"https://content.openalex.org/works/W2887269903.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W818837996","https://openalex.org/W1418108976","https://openalex.org/W1546168389","https://openalex.org/W1554869473","https://openalex.org/W1843766148","https://openalex.org/W1940642537","https://openalex.org/W1970672441","https://openalex.org/W1978581090","https://openalex.org/W1987690713","https://openalex.org/W1993369399","https://openalex.org/W1993863551","https://openalex.org/W2000066643","https://openalex.org/W2004075750","https://openalex.org/W2013885787","https://openalex.org/W2019346246","https://openalex.org/W2028379735","https://openalex.org/W2042521440","https://openalex.org/W2045810864","https://openalex.org/W2046211408","https://openalex.org/W2051032757","https://openalex.org/W2059911466","https://openalex.org/W2067065405","https://openalex.org/W2071881327","https://openalex.org/W2074005500","https://openalex.org/W2075340829","https://openalex.org/W2083945868","https://openalex.org/W2084744288","https://openalex.org/W2085692415","https://openalex.org/W2085821381","https://openalex.org/W2092845575","https://openalex.org/W2094417683","https://openalex.org/W2100211715","https://openalex.org/W2139605600","https://openalex.org/W2142827986","https://openalex.org/W2145661921","https://openalex.org/W2149870286","https://openalex.org/W2155005783","https://openalex.org/W2156571267","https://openalex.org/W2167867293","https://openalex.org/W2168523997","https://openalex.org/W2169038408","https://openalex.org/W2175162522","https://openalex.org/W2242456062","https://openalex.org/W2282752563","https://openalex.org/W2465056849","https://openalex.org/W2468293808","https://openalex.org/W2469313201","https://openalex.org/W2470515822","https://openalex.org/W2511098035","https://openalex.org/W2514388731","https://openalex.org/W2529327711","https://openalex.org/W2554924637","https://openalex.org/W2560738241","https://openalex.org/W2639370877","https://openalex.org/W2745573163","https://openalex.org/W2770710642","https://openalex.org/W3120740533","https://openalex.org/W6682904970"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W3147584709","https://openalex.org/W2134699697","https://openalex.org/W3017188156","https://openalex.org/W2322875716","https://openalex.org/W2961085424","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Although":[0],"feature":[1,43,52,63,83,92,118,174,190,196],"selection":[2,65,85,120,187],"for":[3,136,139,225],"large":[4,32],"data":[5,11,33,230],"has":[6],"been":[7],"intensively":[8],"investigated":[9],"in":[10,34,115,231],"mining,":[12],"machine":[13],"learning,":[14],"and":[15,30,94,104,147,171,202,227,235],"pattern":[16],"recognition,":[17],"the":[18,40,96,101,110,116,137,158,168,186,194],"challenges":[19],"are":[20,217],"not":[21],"just":[22],"to":[23,27,38,48,81,125,141,162,208,219],"invent":[24],"new":[25],"algorithms":[26],"handle":[28,82],"noisy":[29],"uncertain":[31],"applications,":[35],"but":[36],"rather":[37],"link":[39],"multiple":[41,61,90,172],"relevant":[42,62,91,173,189],"sources,":[44,93],"structured,":[45],"or":[46],"unstructured,":[47],"develop":[49],"an":[50,77],"effective":[51,78],"reduction":[53],"method.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58,205],"propose":[59],"a":[60,127],"ensemble":[64,84,119],"(MRFES)":[66],"algorithm":[67,182],"based":[68],"on":[69,176],"multilayer":[70],"co-evolutionary":[71,111,132,145],"consensus":[72],"MapReduce":[73],"(MCCM).":[74],"We":[75],"construct":[76],"MCCM":[79],"model":[80,123],"of":[86,160,188,233],"large-scale":[87,164,226],"datasets":[88],"with":[89,167,198],"explore":[95],"unified":[97],"consistency":[98],"aggregation":[99],"between":[100],"local":[102],"solutions":[103,107],"global":[105],"dominance":[106],"achieved":[108],"by":[109],"memeplexes,":[112,133],"which":[113,134],"participate":[114],"cooperative":[117],"process.":[121],"This":[122],"attempts":[124],"reach":[126],"mutual":[128],"decision":[129],"agreement":[130],"among":[131],"calls":[135],"need":[138],"mechanisms":[140],"detect":[142],"some":[143,177],"noncooperative":[144],"behaviors":[146],"achieve":[148],"better":[149,199],"Nash":[150],"equilibrium":[151],"resolutions.":[152],"Extensive":[153],"experimental":[154],"comparative":[155],"studies":[156],"substantiate":[157],"effectiveness":[159],"MRFES":[161,207],"solve":[163],"dataset":[165],"problems":[166],"complex":[169,228],"noise":[170],"sources":[175],"well-known":[178],"benchmark":[179],"datasets.":[180],"The":[181],"can":[183],"greatly":[184],"facilitate":[185],"subsets":[191],"coming":[192],"from":[193],"original":[195],"space":[197],"accuracy,":[200],"efficiency,":[201],"interpretability.":[203],"Moreover,":[204],"apply":[206],"human":[209],"cerebral":[210],"cortex-based":[211],"classification":[212,223],"prediction.":[213],"Such":[214],"successful":[215],"applications":[216],"expected":[218],"significantly":[220],"scale":[221],"up":[222],"prediction":[224],"brain":[229],"terms":[232],"efficiency":[234],"feasibility.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}