{"id":"https://openalex.org/W4392739516","doi":"https://doi.org/10.1007/s13042-024-02098-3","title":"Dynamic multi-label feature selection algorithm based on label importance and label correlation","display_name":"Dynamic multi-label feature selection algorithm based on label importance and label correlation","publication_year":2024,"publication_date":"2024-03-13","ids":{"openalex":"https://openalex.org/W4392739516","doi":"https://doi.org/10.1007/s13042-024-02098-3"},"language":"en","primary_location":{"id":"doi:10.1007/s13042-024-02098-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13042-024-02098-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13042-024-02098-3.pdf","source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Machine Learning and Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s13042-024-02098-3.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Weiliang Chen","orcid":"https://orcid.org/0009-0009-6398-0257"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiliang Chen","raw_affiliation_strings":["AnHui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, Key Laboratory of Knowledge Engineering With Big Data, Ministry of Education, School of Computer Science and Information Engineering, Hefei University of Technology, Feicui road, Hefei, 230009, Anhui, China"],"raw_orcid":"https://orcid.org/0009-0009-6398-0257","affiliations":[{"raw_affiliation_string":"AnHui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, Key Laboratory of Knowledge Engineering With Big Data, Ministry of Education, School of Computer Science and Information Engineering, Hefei University of Technology, Feicui road, Hefei, 230009, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101316483","display_name":"Xiao Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Sun","raw_affiliation_strings":["AnHui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, Key Laboratory of Knowledge Engineering With Big Data, Ministry of Education, School of Computer Science and Information Engineering, Hefei University of Technology, Feicui road, Hefei, 230009, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AnHui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, Key Laboratory of Knowledge Engineering With Big Data, Ministry of Education, School of Computer Science and Information Engineering, Hefei University of Technology, Feicui road, Hefei, 230009, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":{"value":2790,"currency":"EUR","value_usd":3590},"apc_paid":{"value":2790,"currency":"EUR","value_usd":3590},"fwci":2.3058,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.88833383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"15","issue":"8","first_page":"3379","last_page":"3396"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9993000030517578,"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":0.9993000030517578,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9990000128746033,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9807999730110168,"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":0.7406339049339294},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6716045141220093},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.6391078233718872},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5971782803535461},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.5900903344154358},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5786625742912292},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5415146946907043},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5233694314956665},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4964972138404846},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4856923520565033},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45624083280563354},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.451366662979126},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4362828731536865},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3489975929260254}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7406339049339294},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6716045141220093},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.6391078233718872},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5971782803535461},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.5900903344154358},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5786625742912292},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5415146946907043},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5233694314956665},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4964972138404846},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4856923520565033},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45624083280563354},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.451366662979126},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4362828731536865},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3489975929260254},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s13042-024-02098-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13042-024-02098-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13042-024-02098-3.pdf","source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Machine Learning and Cybernetics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s13042-024-02098-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13042-024-02098-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13042-024-02098-3.pdf","source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Machine Learning and Cybernetics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4392739516.pdf"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W636917482","https://openalex.org/W1612277053","https://openalex.org/W1972490990","https://openalex.org/W1983150145","https://openalex.org/W2016944307","https://openalex.org/W2025081778","https://openalex.org/W2046592845","https://openalex.org/W2052684427","https://openalex.org/W2053463056","https://openalex.org/W2061554433","https://openalex.org/W2063249739","https://openalex.org/W2066807567","https://openalex.org/W2067179717","https://openalex.org/W2079680557","https://openalex.org/W2083047046","https://openalex.org/W2086465730","https://openalex.org/W2090599083","https://openalex.org/W2096086009","https://openalex.org/W2118514362","https://openalex.org/W2118712128","https://openalex.org/W2145241906","https://openalex.org/W2146012283","https://openalex.org/W2146241755","https://openalex.org/W2155440340","https://openalex.org/W2156935079","https://openalex.org/W2158633287","https://openalex.org/W2191800066","https://openalex.org/W2521385614","https://openalex.org/W2556844550","https://openalex.org/W2605997098","https://openalex.org/W2622377737","https://openalex.org/W2743621318","https://openalex.org/W2779884430","https://openalex.org/W2804031762","https://openalex.org/W2888781447","https://openalex.org/W2917300136","https://openalex.org/W2922470279","https://openalex.org/W2948768062","https://openalex.org/W2980962597","https://openalex.org/W2999769113","https://openalex.org/W3037614631","https://openalex.org/W3045438681","https://openalex.org/W3100535899","https://openalex.org/W3122596523","https://openalex.org/W3137652486","https://openalex.org/W3138008028","https://openalex.org/W3173777106","https://openalex.org/W3205749498","https://openalex.org/W3208124867","https://openalex.org/W4205754927","https://openalex.org/W4207053154","https://openalex.org/W4225289801","https://openalex.org/W4249992252","https://openalex.org/W4289342538","https://openalex.org/W6606648750"],"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/W4386564352","https://openalex.org/W2952668426","https://openalex.org/W1972401983"],"abstract_inverted_index":{"Abstract":[0],"Multi-label":[1],"distribution":[2],"is":[3,13,59,81,102,125,207],"a":[4,39,198,225],"popular":[5],"direction":[6],"in":[7,137,157],"current":[8],"machine":[9],"learning":[10,55,227],"research":[11],"and":[12,64,67,110,147,166,168,218,230],"relevant":[14],"to":[15,45,127,134],"many":[16,29],"practical":[17],"problems.":[18],"In":[19,155],"multi-label":[20,40,54,118,139,151,159,226],"learning,":[21],"samples":[22],"are":[23,32,153],"usually":[24],"described":[25],"by":[26,50],"high-dimensional":[27,51],"features,":[28,205],"of":[30,53,95,113,122,150,237],"which":[31,206],"redundant":[33],"or":[34,173],"invalid.":[35],"This":[36,57],"paper":[37,196],"proposes":[38,197],"static":[41,184,211,217],"feature":[42,83,97,185,200,212],"selection":[43,84,186,201,213],"algorithm":[44,58,202],"solve":[46],"the":[47,69,96,108,114,129,138,144,158,231,235],"problems":[48],"caused":[49],"features":[52,162,169,192],"samples.":[56],"based":[60,208],"on":[61,209,224],"label":[62,65,145,148],"importance":[63,146],"relevance,":[66],"improves":[68],"neighborhood":[70,78,86,109],"rough":[71,79,87],"set":[72,229],"model.":[73],"One":[74],"reason":[75,101],"for":[76,203],"using":[77,85],"sets":[80,88],"that":[82,103],"does":[89,105],"not":[90,106,189],"require":[91],"any":[92],"prior":[93],"knowledge":[94],"space":[98],"structure.":[99],"Another":[100],"it":[104],"destroy":[107],"order":[111],"structure":[112],"data":[115,152],"when":[116],"processing":[117],"data.":[119],"The":[120,215],"method":[121],"mutual":[123],"information":[124],"used":[126],"achieve":[128],"extension":[130],"from":[131],"single":[132],"labels":[133,136],"multiple":[135],"neighborhood;":[140],"through":[141],"this":[142,195],"method,":[143],"relevance":[149],"connected.":[154],"addition,":[156],"task":[160,228],"scenario,":[161],"may":[163],"be":[164,175],"interdependent":[165],"interrelated,":[167],"often":[170],"arrive":[171],"incrementally":[172],"can":[174],"extracted":[176],"continuously;":[177],"we":[178],"call":[179],"these":[180],"flow":[181,191,204],"features.":[182],"Traditional":[183],"algorithms":[187,220],"do":[188],"handle":[190],"well.":[193],"Therefore,":[194],"dynamic":[199,219],"previous":[210],"algorithms.":[214,239],"proposed":[216],"have":[221],"been":[222],"tested":[223],"experimental":[232],"results":[233],"show":[234],"effectiveness":[236],"both":[238]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}
