{"id":"https://openalex.org/W3123798230","doi":"https://doi.org/10.1109/tnnls.2020.3048080","title":"A Novel Feature Selection Method for High-Dimensional Mixed Decision Tables","display_name":"A Novel Feature Selection Method for High-Dimensional Mixed Decision Tables","publication_year":2021,"publication_date":"2021-01-15","ids":{"openalex":"https://openalex.org/W3123798230","doi":"https://doi.org/10.1109/tnnls.2020.3048080","mag":"3123798230","pmid":"https://pubmed.ncbi.nlm.nih.gov/33449885"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.3048080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3048080","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","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/A5043056693","display_name":"Nguy\u1ec5n Ng\u1ecdc Th\u1ee7y","orcid":"https://orcid.org/0000-0003-0541-0108"},"institutions":[{"id":"https://openalex.org/I170238339","display_name":"Duy Tan University","ror":"https://ror.org/05ezss144","country_code":"VN","type":"education","lineage":["https://openalex.org/I170238339"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Nguyen Ngoc Thuy","raw_affiliation_strings":["Institute of Research and Development, Duy Tan University, Danang, Vietnam"],"raw_orcid":"https://orcid.org/0000-0003-0541-0108","affiliations":[{"raw_affiliation_string":"Institute of Research and Development, Duy Tan University, Danang, Vietnam","institution_ids":["https://openalex.org/I170238339"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000400370","display_name":"Sartra Wongthanavasu","orcid":"https://orcid.org/0000-0002-4689-3006"},"institutions":[{"id":"https://openalex.org/I179193067","display_name":"Khon Kaen University","ror":"https://ror.org/03cq4gr50","country_code":"TH","type":"education","lineage":["https://openalex.org/I179193067"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Sartra Wongthanavasu","raw_affiliation_strings":["Department of Computer Science, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-4689-3006","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand","institution_ids":["https://openalex.org/I179193067"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043056693"],"corresponding_institution_ids":["https://openalex.org/I170238339"],"apc_list":null,"apc_paid":null,"fwci":5.6021,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.96337812,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"33","issue":"7","first_page":"3024","last_page":"3037"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":1.0,"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":1.0,"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":0.9833999872207642,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9329000115394592,"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/reduct","display_name":"Reduct","score":0.9385732412338257},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.691521942615509},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6593120098114014},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6310216188430786},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5589296817779541},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5588743686676025},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5384663343429565},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5334867238998413},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.5009171962738037},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.49886131286621094},{"id":"https://openalex.org/keywords/decision-table","display_name":"Decision table","score":0.4416019916534424},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4399010241031647},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38745808601379395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3741180896759033},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3337349593639374}],"concepts":[{"id":"https://openalex.org/C69177213","wikidata":"https://www.wikidata.org/wiki/Q12880812","display_name":"Reduct","level":3,"score":0.9385732412338257},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.691521942615509},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6593120098114014},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6310216188430786},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5589296817779541},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5588743686676025},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5384663343429565},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5334867238998413},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5009171962738037},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.49886131286621094},{"id":"https://openalex.org/C172967692","wikidata":"https://www.wikidata.org/wiki/Q747762","display_name":"Decision table","level":3,"score":0.4416019916534424},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4399010241031647},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38745808601379395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3741180896759033},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3337349593639374},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2020.3048080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3048080","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:33449885","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33449885","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 neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322335","display_name":"Khon Kaen University","ror":"https://ror.org/03cq4gr50"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1965543855","https://openalex.org/W1973067694","https://openalex.org/W1973689533","https://openalex.org/W1978603136","https://openalex.org/W2004068299","https://openalex.org/W2005292390","https://openalex.org/W2007686858","https://openalex.org/W2007810691","https://openalex.org/W2009733097","https://openalex.org/W2023721178","https://openalex.org/W2024638676","https://openalex.org/W2025027782","https://openalex.org/W2025129492","https://openalex.org/W2033715707","https://openalex.org/W2044470705","https://openalex.org/W2050159152","https://openalex.org/W2055307975","https://openalex.org/W2073669694","https://openalex.org/W2083047046","https://openalex.org/W2084162392","https://openalex.org/W2095290023","https://openalex.org/W2096393821","https://openalex.org/W2097923398","https://openalex.org/W2101924850","https://openalex.org/W2103514965","https://openalex.org/W2110183025","https://openalex.org/W2115061082","https://openalex.org/W2128771953","https://openalex.org/W2153166477","https://openalex.org/W2158633287","https://openalex.org/W2160617124","https://openalex.org/W2162845119","https://openalex.org/W2200884536","https://openalex.org/W2275187372","https://openalex.org/W2292553612","https://openalex.org/W2395763878","https://openalex.org/W2416404380","https://openalex.org/W2432138738","https://openalex.org/W2462894013","https://openalex.org/W2511098035","https://openalex.org/W2530607034","https://openalex.org/W2553685420","https://openalex.org/W2563233531","https://openalex.org/W2609332722","https://openalex.org/W2699869760","https://openalex.org/W2732347010","https://openalex.org/W2745346289","https://openalex.org/W2766239046","https://openalex.org/W2772114629","https://openalex.org/W2789969420","https://openalex.org/W2790353208","https://openalex.org/W2791178145","https://openalex.org/W2795686572","https://openalex.org/W2796330245","https://openalex.org/W2801786879","https://openalex.org/W2891855514","https://openalex.org/W2891873203","https://openalex.org/W2900648357","https://openalex.org/W2908473781","https://openalex.org/W2953601540","https://openalex.org/W2968250595","https://openalex.org/W2969547415","https://openalex.org/W2981889159","https://openalex.org/W2983728956","https://openalex.org/W3023496898","https://openalex.org/W4242182087","https://openalex.org/W4255833381"],"related_works":["https://openalex.org/W3013418296","https://openalex.org/W2354227702","https://openalex.org/W2369301332","https://openalex.org/W2381679723","https://openalex.org/W2145825375","https://openalex.org/W2356285081","https://openalex.org/W2109806455","https://openalex.org/W1984319728","https://openalex.org/W2164016421","https://openalex.org/W2125753160"],"abstract_inverted_index":{"Attribute":[0],"reduction,":[1],"also":[2,184],"called":[3],"feature":[4,52,165,172,197],"selection,":[5],"is":[6,18,58],"one":[7],"of":[8,13,49,67,77,103,152,202,206],"the":[9,47,68,75,88,93,113,118,149,153,170,195,200,204,207],"most":[10],"important":[11,81],"issues":[12],"rough":[14],"set":[15],"theory,":[16],"which":[17],"regarded":[19],"as":[20],"a":[21,50,59,72,100,125],"vital":[22],"preprocessing":[23],"step":[24],"in":[25,43,87,128,148,238],"pattern":[26],"recognition,":[27],"machine":[28],"learning,":[29],"and":[30,36,130,134,166,191],"data":[31,38,56,181,215,220],"mining.":[32],"Nowadays,":[33],"high-dimensional":[34,180],"mixed":[35,129],"incomplete":[37,131],"sets":[39,57,216],"are":[40,90],"very":[41,60],"common":[42],"real-world":[44],"applications.":[45],"Certainly,":[46],"selection":[48],"promising":[51],"subset":[53],"from":[54,112,194,218],"such":[55],"interesting,":[61],"but":[62],"challenging":[63],"problem.":[64],"Almost":[65],"all":[66],"existing":[69,225],"methods":[70],"generated":[71],"cover":[73,89],"on":[74,117,214],"space":[76],"objects":[78],"to":[79,107,141,161,175,222],"determine":[80,185],"features.":[82],"However,":[83],"some":[84],"tolerance":[85,110],"classes":[86,111],"useless":[91],"for":[92],"computational":[94],"process.":[95],"Thus,":[96],"this":[97,143],"article":[98],"introduces":[99],"new":[101,126],"concept":[102],"stripped":[104,120],"neighborhood":[105,121],"covers":[106],"reduce":[108],"unnecessary":[109],"original":[114],"cover.":[115],"Based":[116],"proposed":[119,154,208],"cover,":[122],"we":[123,156,183,210],"define":[124],"reduct":[127],"decision":[132],"tables,":[133],"then":[135],"design":[136],"an":[137,158,163],"efficient":[138],"heuristic":[139],"algorithm":[140,233],"find":[142],"reduct.":[144],"For":[145,199],"each":[146,189],"loop":[147,151,190],"main":[150],"algorithm,":[155,209],"use":[157],"error":[159],"measure":[160],"select":[162],"optimal":[164],"put":[167],"it":[168],"into":[169],"selected":[171],"subset.":[173,198],"Besides,":[174],"deal":[176],"more":[177],"efficiently":[178],"with":[179,224],"sets,":[182],"redundant":[186],"features":[187],"after":[188],"remove":[192],"them":[193],"candidate":[196],"purpose":[201],"verifying":[203],"performance":[205],"carry":[211],"out":[212],"experiments":[213],"downloaded":[217],"public":[219],"sources":[221],"compare":[223],"state-of-the-art":[226],"algorithms.":[227],"Experimental":[228],"results":[229],"showed":[230],"that":[231],"our":[232],"outperforms":[234],"compared":[235],"algorithms,":[236],"especially":[237],"classification":[239],"accuracy.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
