{"id":"https://openalex.org/W4389077622","doi":"https://doi.org/10.1109/icmlc58545.2023.10327976","title":"Local Weighted Neighborhood Rough Sets for Weakly Labeled Data","display_name":"Local Weighted Neighborhood Rough Sets for Weakly Labeled Data","publication_year":2023,"publication_date":"2023-07-09","ids":{"openalex":"https://openalex.org/W4389077622","doi":"https://doi.org/10.1109/icmlc58545.2023.10327976"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc58545.2023.10327976","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc58545.2023.10327976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-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/A5103058864","display_name":"Yanting Guo","orcid":"https://orcid.org/0000-0003-0558-3797"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanting Guo","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University,Shenzhen,China,518060"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University,Shenzhen,China,518060","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061695397","display_name":"Meng Hu","orcid":"https://orcid.org/0000-0002-6406-6717"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Hu","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University,Shenzhen,China,518060"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University,Shenzhen,China,518060","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026203541","display_name":"Qiang Liu","orcid":"https://orcid.org/0000-0002-4378-4613"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Liu","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University,Shenzhen,China,518060"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University,Shenzhen,China,518060","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101437928","display_name":"Eric C.C. Tsang","orcid":"https://orcid.org/0000-0002-3734-7273"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Eric C.C. Tsang","raw_affiliation_strings":["Macau University of Science and Technology,Faculty of Innovation Engineering,Macau","Faculty of Innovation Engineering, Macau University of Science and Technology, Macau"],"affiliations":[{"raw_affiliation_string":"Macau University of Science and Technology,Faculty of Innovation Engineering,Macau","institution_ids":["https://openalex.org/I111950717"]},{"raw_affiliation_string":"Faculty of Innovation Engineering, Macau University of Science and Technology, Macau","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073006299","display_name":"Xizhao Wang","orcid":"https://orcid.org/0000-0001-6036-4728"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xizhao Wang","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University,Shenzhen,China,518060"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University,Shenzhen,China,518060","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103058864"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.4034,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67024201,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"147","last_page":"152"},"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9523000121116638,"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/rough-set","display_name":"Rough set","score":0.8249731063842773},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5757300853729248},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5427326560020447},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5268406271934509},{"id":"https://openalex.org/keywords/binary-relation","display_name":"Binary relation","score":0.5158175826072693},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5059897303581238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49540722370147705},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4834664463996887},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.44238853454589844},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4317229390144348},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.42780613899230957},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.42197442054748535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4141346216201782},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39181676506996155},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.08079996705055237}],"concepts":[{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.8249731063842773},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5757300853729248},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5427326560020447},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5268406271934509},{"id":"https://openalex.org/C65180967","wikidata":"https://www.wikidata.org/wiki/Q130901","display_name":"Binary relation","level":2,"score":0.5158175826072693},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5059897303581238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49540722370147705},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4834664463996887},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.44238853454589844},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4317229390144348},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.42780613899230957},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.42197442054748535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4141346216201782},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39181676506996155},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.08079996705055237},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc58545.2023.10327976","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc58545.2023.10327976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5277320873","display_name":null,"funder_award_id":"62106148,61976141","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2077915736","https://openalex.org/W2561208659","https://openalex.org/W2563233531","https://openalex.org/W2699869760","https://openalex.org/W2795686572","https://openalex.org/W2801786879","https://openalex.org/W2919081036","https://openalex.org/W2946254831","https://openalex.org/W3118643612","https://openalex.org/W3134939203","https://openalex.org/W3213473583","https://openalex.org/W4225457876","https://openalex.org/W4255833381","https://openalex.org/W4292542490"],"related_works":["https://openalex.org/W4247436880","https://openalex.org/W2064989302","https://openalex.org/W1880323254","https://openalex.org/W4366967255","https://openalex.org/W2042475680","https://openalex.org/W1985759900","https://openalex.org/W1695035718","https://openalex.org/W2041596646","https://openalex.org/W2167108569","https://openalex.org/W2100155797"],"abstract_inverted_index":{"Local":[0,70],"rough":[1,6,16,61],"set":[2,17],"models":[3,23,157],"are":[4,122,158,171],"efficient":[5],"data":[7,13,92,144],"analysis":[8],"methods":[9],"for":[10],"weakly":[11,125],"labeled":[12,91,126],"in":[14,41,168],"the":[15,20,27,49,64,77,87,94,113,129,136,143,147,162],"field.":[18],"However,":[19],"existing":[21],"local":[22,59,154],"do":[24],"not":[25],"distinguish":[26],"importance":[28,78],"of":[29,51,79,90,97,120,166],"different":[30],"attributes":[31,80],"to":[32,81,141],"decisions":[33,82],"when":[34],"describing":[35],"and":[36,67,93,100,117,128,146,151,155,164],"defining":[37],"binary":[38],"relations,":[39],"resulting":[40],"inaccurate":[42],"information":[43,89,96],"granules":[44],"or":[45],"classes,":[46],"which":[47],"affects":[48],"accuracy":[50,165],"concept":[52,169],"approximation.":[53],"In":[54,134],"this":[55],"paper,":[56],"we":[57],"choose":[58],"neighborhood":[60,115,118],"sets":[62],"as":[63],"representative":[65],"model,":[66],"then":[68],"propose":[69],"Weighted":[71],"Neighborhood":[72],"Rough":[73],"Sets":[74],"(LWNRS).":[75],"First,":[76],"is":[83,110,132,139],"quantified":[84],"by":[85,173],"combining":[86],"supervised":[88],"structural":[95],"unlabeled":[98],"data,":[99,127],"an":[101],"attribute":[102],"weighted":[103,114,137],"method":[104],"based":[105],"on":[106],"semi-supervised":[107],"dynamic":[108],"optimization":[109],"proposed.":[111],"Meanwhile,":[112],"relation":[116],"classes":[119],"objects":[121],"defined":[123],"under":[124],"WLNRS":[130,150,167],"model":[131],"constructed.":[133],"addition,":[135],"dependency":[138],"proposed":[140],"measure":[142],"uncertainty,":[145],"relationships":[148],"among":[149],"other":[152],"relevant":[153],"global":[156],"deeply":[159],"explored.":[160],"Finally,":[161],"efficiency":[163],"approximation":[170],"verified":[172],"comparison.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}