{"id":"https://openalex.org/W2978951558","doi":"https://doi.org/10.1109/ijcnn.2019.8851998","title":"Label Distribution Feature Selection Based on Mutual Information in Fuzzy Rough Set Theory","display_name":"Label Distribution Feature Selection Based on Mutual Information in Fuzzy Rough Set Theory","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2978951558","doi":"https://doi.org/10.1109/ijcnn.2019.8851998","mag":"2978951558"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8851998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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/A5035117995","display_name":"Yingyao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingyao Wang","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070031719","display_name":"Jianhua Dai","orcid":"https://orcid.org/0000-0003-1459-0833"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Dai","raw_affiliation_strings":["Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, China","institution_ids":["https://openalex.org/I173759888"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035117995"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":1.6015,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.8806867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9994999766349792,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9983999729156494,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9850999712944031,"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/feature-selection","display_name":"Feature selection","score":0.6621710062026978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6515817642211914},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5864222049713135},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.5854807496070862},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5555440187454224},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5197962522506714},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5152042508125305},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5003364086151123},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4839744567871094},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4536731243133545},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4484621286392212},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.422936350107193},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33476632833480835}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6621710062026978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6515817642211914},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5864222049713135},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.5854807496070862},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5555440187454224},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5197962522506714},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5152042508125305},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5003364086151123},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4839744567871094},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4536731243133545},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4484621286392212},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.422936350107193},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33476632833480835},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8851998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W636917482","https://openalex.org/W1966901553","https://openalex.org/W1970696760","https://openalex.org/W1972401983","https://openalex.org/W1999954155","https://openalex.org/W2066454034","https://openalex.org/W2082173396","https://openalex.org/W2090630554","https://openalex.org/W2102309714","https://openalex.org/W2128406786","https://openalex.org/W2149620660","https://openalex.org/W2149772057","https://openalex.org/W2154053567","https://openalex.org/W2166840159","https://openalex.org/W2191800066","https://openalex.org/W2248520867","https://openalex.org/W2330485005","https://openalex.org/W2343038205","https://openalex.org/W2516702142","https://openalex.org/W2565649476","https://openalex.org/W2594029683","https://openalex.org/W2807770408","https://openalex.org/W6681822384","https://openalex.org/W6684726910"],"related_works":["https://openalex.org/W2997083166","https://openalex.org/W2156571267","https://openalex.org/W2086424613","https://openalex.org/W2053515329","https://openalex.org/W3037363193","https://openalex.org/W2533731304","https://openalex.org/W2386078281","https://openalex.org/W3111660818","https://openalex.org/W2747166117","https://openalex.org/W4287553507"],"abstract_inverted_index":{"As":[0],"we":[1],"all":[2],"know,":[3],"the":[4,10,14,22,35,38,79,84,93,108,118,153,174,179],"multi-label":[5,55,74,81],"learning":[6,17,64,72,75],"is":[7,18,27,76,89,114,149,164,184],"faced":[8,20],"with":[9,21],"\"dimension":[11],"disaster\",":[12],"and":[13,73,157,159,169],"label":[15,39,62,70,88,138],"distribution":[16,40,63,71,139],"actually":[19],"same":[23,109],"problem.":[24],"Therefore,":[25,120],"it":[26],"necessary":[28],"to":[29,91,151,186],"perform":[30],"some":[31],"appropriate":[32],"pre-processing":[33],"on":[34,129],"data":[36],"before":[37],"learning,":[41,56],"such":[42],"as":[43],"feature":[44,51,58,125,162,181],"selection.":[45],"Nowadays,":[46],"researchers":[47],"have":[48],"proposed":[49,123,180],"many":[50],"selection":[52,59,126,182],"algorithms":[53,60],"for":[54,61,137],"while":[57],"are":[65,106],"few.":[66],"The":[67,141],"difference":[68],"between":[69,117,155],"that":[77,111,178],"in":[78,96,132,144],"existing":[80],"classification":[82],"methods,":[83],"importance":[85,103],"of":[86,190],"each":[87],"considered":[90],"be":[92],"same,":[94],"but":[95],"actual":[97],"cases,":[98],"different":[99,102],"labels":[100],"has":[101],"when":[104],"they":[105],"describing":[107],"instance,":[110],"is,":[112],"there":[113],"an":[115],"imbalance":[116],"labels.":[119],"this":[121],"paper":[122],"a":[124,161],"algorithm":[127,183],"based":[128],"information":[130,143],"measures":[131],"fuzzy":[133,145],"rough":[134,146],"set":[135,147],"theory":[136,148],"learning.":[140],"mutual":[142],"used":[150],"calculate":[152],"correlation":[154,167],"features":[156],"labels,":[158],"then":[160],"subset":[163],"selected":[165],"by":[166],"maximization":[168],"redundancy":[170],"minimization":[171],"strategy.":[172],"Finally,":[173],"experimental":[175],"results":[176],"demonstrate":[177],"able":[185],"select":[187],"valid":[188],"subsets":[189],"features.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
