{"id":"https://openalex.org/W4313123991","doi":"https://doi.org/10.1109/tkde.2022.3220200","title":"An Efficient and Accurate Rough Set for Feature Selection, Classification, and Knowledge Representation","display_name":"An Efficient and Accurate Rough Set for Feature Selection, Classification, and Knowledge Representation","publication_year":2022,"publication_date":"2022-11-08","ids":{"openalex":"https://openalex.org/W4313123991","doi":"https://doi.org/10.1109/tkde.2022.3220200"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2022.3220200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3220200","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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/A5060987351","display_name":"Shuyin Xia","orcid":"https://orcid.org/0000-0001-5993-9563"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyin Xia","raw_affiliation_strings":["Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Telecommunications and Posts, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-5993-9563","affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Telecommunications and Posts, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101842765","display_name":"Xinyu Bai","orcid":"https://orcid.org/0000-0001-5168-886X"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Bai","raw_affiliation_strings":["Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Telecommunications and Posts, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-5168-886X","affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Telecommunications and Posts, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031220156","display_name":"Guoyin Wang","orcid":"https://orcid.org/0000-0002-8521-5232"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyin Wang","raw_affiliation_strings":["Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Telecommunications and Posts, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-8521-5232","affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Telecommunications and Posts, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101963123","display_name":"Yunlong Cheng","orcid":"https://orcid.org/0000-0002-9940-5109"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunlong Cheng","raw_affiliation_strings":["Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Telecommunications and Posts, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-9940-5109","affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Telecommunications and Posts, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091017287","display_name":"Deyu Meng","orcid":"https://orcid.org/0000-0002-1294-8283"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deyu Meng","raw_affiliation_strings":["National Engineering Laboratory for Algorithm and Analysis Technology on Big Data, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Algorithm and Analysis Technology on Big Data, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101785348","display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0002-7985-0037"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Telecommunications and Posts, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-7985-0037","affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Telecommunications and Posts, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035339023","display_name":"Yujia Zhai","orcid":"https://orcid.org/0000-0002-2688-8058"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yujia Zhai","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California Riverside, Riverside, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-2688-8058","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California Riverside, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010372747","display_name":"Elisabeth Giem","orcid":"https://orcid.org/0009-0004-3384-6843"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elisabeth Giem","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California Riverside, Riverside, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California Riverside, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.5714,"has_fulltext":false,"cited_by_count":68,"citation_normalized_percentile":{"value":0.98050139,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"35","issue":"8","first_page":"7724","last_page":"7735"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9829000234603882,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9767000079154968,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.7785148620605469},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.7241441011428833},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6132157444953918},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5479264259338379},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5183535814285278},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.45949628949165344},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4313989281654358},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4226039946079254},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4185390770435333},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4131550192832947}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7785148620605469},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.7241441011428833},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6132157444953918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5479264259338379},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5183535814285278},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.45949628949165344},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4313989281654358},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4226039946079254},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4185390770435333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4131550192832947},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2022.3220200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3220200","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2442938172","display_name":null,"funder_award_id":"cstc2019jcyj\u2010cxttX0002","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G3453920714","display_name":null,"funder_award_id":"62221005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4996436466","display_name":null,"funder_award_id":"62222601","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6161333088","display_name":null,"funder_award_id":"62176033","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W107910782","https://openalex.org/W141062567","https://openalex.org/W1545517623","https://openalex.org/W1584845053","https://openalex.org/W1644402181","https://openalex.org/W1685464609","https://openalex.org/W1749992802","https://openalex.org/W1981107449","https://openalex.org/W1997362234","https://openalex.org/W1999612973","https://openalex.org/W2016929372","https://openalex.org/W2046211408","https://openalex.org/W2056935845","https://openalex.org/W2069575893","https://openalex.org/W2079680557","https://openalex.org/W2092044939","https://openalex.org/W2092845575","https://openalex.org/W2101119387","https://openalex.org/W2142246398","https://openalex.org/W2143426320","https://openalex.org/W2149620660","https://openalex.org/W2158407140","https://openalex.org/W2170341854","https://openalex.org/W2256782633","https://openalex.org/W2313866064","https://openalex.org/W2357594108","https://openalex.org/W2365382545","https://openalex.org/W2595951082","https://openalex.org/W2608932868","https://openalex.org/W2753823607","https://openalex.org/W2766239046","https://openalex.org/W2787616250","https://openalex.org/W2788471974","https://openalex.org/W2795686572","https://openalex.org/W2900763954","https://openalex.org/W2944791122","https://openalex.org/W2962755847","https://openalex.org/W3029713334","https://openalex.org/W3034712888","https://openalex.org/W3102942031","https://openalex.org/W3202822534","https://openalex.org/W4249247926","https://openalex.org/W4255833381","https://openalex.org/W6605792473","https://openalex.org/W6637461618","https://openalex.org/W6637938255","https://openalex.org/W6681822384","https://openalex.org/W6736840501","https://openalex.org/W6990322636"],"related_works":["https://openalex.org/W2392963705","https://openalex.org/W2107349454","https://openalex.org/W2382278777","https://openalex.org/W1964260090","https://openalex.org/W2353240132","https://openalex.org/W2375932290","https://openalex.org/W1486178390","https://openalex.org/W138553499","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,9,23,26,66,82,143,159,183],"strong":[4],"data-mining":[5],"method":[6,28],"based":[7],"on":[8,89,194],"rough":[10,24,67,113,131,178],"set,":[11,25,68,132],"which":[12,50,106],"can":[13],"simultaneously":[14],"realize":[15],"feature":[16,30],"selection,":[17,31],"classification,":[18],"and":[19,40,80,168,190],"knowledge":[20,188],"representation.":[21],"Although":[22],"popular":[27],"for":[29,146,187],"has":[32],"good":[33],"interpretability,":[34],"it":[35,52,86],"is":[36],"not":[37],"sufficiently":[38],"efficient":[39],"accurate":[41],"to":[42,57,84,117,127,149],"deal":[43],"with":[44,47],"large-scale":[45],"datasets":[46,197],"high":[48],"dimensions,":[49],"prevents":[51],"from":[53],"being":[54],"immediately":[55],"applied":[56],"real-world":[58],"scenarios.":[59],"To":[60],"address":[61],"the":[62,71,74,92,97,109,112,118,130,166,212],"efficiency":[63,110,167],"issue":[64],"of":[65,73,78,94,111,129,170],"we":[69,121,157],"discover":[70],"stability":[72],"local":[75],"redundancy":[76],"(SLR)":[77],"attributes":[79],"propose":[81,140,158],"theorem":[83],"prove":[85],"rigorously.":[87],"Based":[88],"SLR,":[90],"only":[91],"parts":[93],"objects":[95],"in":[96],"boundary":[98],"region":[99],"are":[100,214],"partitioned":[101],"when":[102,134],"calculating":[103],"outer":[104],"significance,":[105],"further":[107,175],"improves":[108,165],"set.":[114],"With":[115],"regard":[116],"accuracy":[119,169,205],"issue,":[120],"show":[122,198],"that":[123,163,199],"overfitting":[124,152],"may":[125],"lead":[126],"ineffectiveness":[128],"especially":[133],"processing":[135],"noise":[136],"attributes.":[137],"We":[138,174],"then":[139],"relative":[141],"importance,":[142],"robust":[144],"measurement":[145],"an":[147],"attribute,":[148],"alleviate":[150],"such":[151],"issues.":[153],"In":[154],"this":[155],"paper,":[156],"novel":[160],"rough-set":[161,172],"framework":[162,180,202],"significantly":[164],"existing":[171],"methods.":[173,210],"develop":[176],"our":[177,200],"set":[179],"by":[181],"proposing":[182],"\u201crough":[184],"concept":[185],"tree\u201d":[186],"representation":[189],"classification.":[191],"Experimental":[192],"results":[193],"public":[195],"benchmark":[196],"proposed":[201],"achieves":[203],"higher":[204],"than":[206],"seven":[207],"state-of-the-art":[208],"feature-selection":[209],"All":[211],"codes":[213],"available":[215],"athttps://github.com/syxiaa/powerroughset.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":30},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":7}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}
