{"id":"https://openalex.org/W4400033057","doi":"https://doi.org/10.1109/tkde.2024.3419215","title":"Ze-HFS: Zentropy-Based Uncertainty Measure for Heterogeneous Feature Selection and Knowledge Discovery","display_name":"Ze-HFS: Zentropy-Based Uncertainty Measure for Heterogeneous Feature Selection and Knowledge Discovery","publication_year":2024,"publication_date":"2024-06-26","ids":{"openalex":"https://openalex.org/W4400033057","doi":"https://doi.org/10.1109/tkde.2024.3419215"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2024.3419215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3419215","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/A5013460270","display_name":"Kehua Yuan","orcid":"https://orcid.org/0000-0002-3580-3669"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kehua Yuan","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3580-3669","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024791074","display_name":"Duoqian Miao","orcid":"https://orcid.org/0000-0001-6588-1468"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duoqian Miao","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-6588-1468","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003799782","display_name":"Witold Pedrycz","orcid":"https://orcid.org/0000-0002-9335-9930"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Witold Pedrycz","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada"],"raw_orcid":"https://orcid.org/0000-0002-9335-9930","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069969191","display_name":"Weiping Ding","orcid":"https://orcid.org/0000-0002-3180-7347"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Ding","raw_affiliation_strings":["School of Information Science and Technology, Nantong University, Nantong, China"],"raw_orcid":"https://orcid.org/0000-0002-3180-7347","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100728134","display_name":"Hongyun Zhang","orcid":"https://orcid.org/0000-0001-9781-5078"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyun Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9781-5078","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":14.2642,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.99171332,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"36","issue":"11","first_page":"7326","last_page":"7339"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.895799994468689,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.895799994468689,"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/T10320","display_name":"Neural Networks and Applications","score":0.7748000025749207,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.7626000046730042,"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/computer-science","display_name":"Computer science","score":0.7714076042175293},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6839678883552551},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6456074714660645},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5635709762573242},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5054681301116943},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.4974561035633087},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4644263982772827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.399421751499176}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7714076042175293},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6839678883552551},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6456074714660645},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5635709762573242},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5054681301116943},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.4974561035633087},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4644263982772827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.399421751499176},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2024.3419215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3419215","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/G5799824509","display_name":null,"funder_award_id":"62376198","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W2052818405","https://openalex.org/W2059429344","https://openalex.org/W2111011053","https://openalex.org/W2128873747","https://openalex.org/W2141188346","https://openalex.org/W2145391482","https://openalex.org/W2158633287","https://openalex.org/W2282429601","https://openalex.org/W2511098035","https://openalex.org/W2801786879","https://openalex.org/W2888162750","https://openalex.org/W2962755847","https://openalex.org/W2989196101","https://openalex.org/W2994713090","https://openalex.org/W2997546679","https://openalex.org/W3012521642","https://openalex.org/W3034712888","https://openalex.org/W3048584318","https://openalex.org/W3087055935","https://openalex.org/W3127251420","https://openalex.org/W3133880498","https://openalex.org/W3189365424","https://openalex.org/W3194524249","https://openalex.org/W3202724793","https://openalex.org/W3208396386","https://openalex.org/W4206117573","https://openalex.org/W4210591467","https://openalex.org/W4255833381","https://openalex.org/W4283394375","https://openalex.org/W4285276674","https://openalex.org/W4285292919","https://openalex.org/W4285306522","https://openalex.org/W4289792606","https://openalex.org/W4290044069","https://openalex.org/W4309047191","https://openalex.org/W4312229684","https://openalex.org/W4313123991","https://openalex.org/W4316661212","https://openalex.org/W4322505635","https://openalex.org/W4360616010","https://openalex.org/W4385556680","https://openalex.org/W4385945649","https://openalex.org/W4386826601","https://openalex.org/W4387745685","https://openalex.org/W4387789988","https://openalex.org/W4390357743","https://openalex.org/W4390753745","https://openalex.org/W4392381103","https://openalex.org/W4394850764","https://openalex.org/W6681822384","https://openalex.org/W6790727609"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2387011115","https://openalex.org/W4234808182","https://openalex.org/W2382043075","https://openalex.org/W2809151339","https://openalex.org/W2216913934","https://openalex.org/W2360673138","https://openalex.org/W2809370583","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Knowledge":[0],"discovery":[1],"of":[2,21,54,117,189],"heterogeneous":[3,15,37,70,80,118,124,132,136,169],"data":[4,16,23,119],"is":[5,17,127,145],"an":[6,18,66,111],"active":[7],"topic":[8],"in":[9,114,153],"knowledge":[10,120],"engineering.":[11],"Feature":[12],"selection":[13,35,72],"for":[14,36,79,168],"important":[19],"part":[20],"effective":[22,67],"analysis.":[24],"Although":[25],"there":[26,39],"have":[27],"been":[28],"many":[29],"attempts":[30],"to":[31,64,130],"study":[32,116],"the":[33,46,50,55,89,103,115,141,149,154,163,177,185,190],"feature":[34,71,81,170],"data,":[38],"are":[40,166],"still":[41],"some":[42],"challenges,":[43],"such":[44],"as":[45],"unbalanced":[47],"problem":[48],"between":[49,105],"stability":[51],"and":[52,68,101,135,187],"validity":[53],"designed":[56,167],"model.":[57,156],"Hence,":[58],"this":[59],"paper":[60],"focuses":[61],"on":[62,162,180],"how":[63],"design":[65],"robust":[69],"method,":[73],"namely":[74],"a":[75,123],"zentropy-based":[76,142],"uncertainty":[77,87,143],"measure":[78,144],"selection(Ze-HFS).":[82],"Different":[83],"from":[84],"other":[85,174],"entropy-based":[86],"measures,":[88],"proposed":[90,191],"method":[91],"does":[92],"not":[93],"consider":[94],"single-level":[95],"information":[96,104],"measures":[97,160],"but":[98],"systematically":[99],"analyzes":[100],"integrates":[102],"different":[106],"granular":[107,150],"levels,":[108],"which":[109],"has":[110],"obvious":[112],"advantage":[113],"discovery.":[121],"Specifically,":[122],"distance":[125],"metric":[126],"first":[128],"introduced":[129],"construct":[131],"neighborhood":[133,137],"granules":[134],"rough":[138],"sets(HNRS).":[139],"Then,":[140],"developed":[146],"by":[147],"analyzing":[148],"level":[151],"structure":[152],"HNRS":[155],"Finally,":[157],"two":[158],"significant":[159],"based":[161],"above":[164],"research":[165],"selection.":[171],"Compared":[172],"with":[173],"state-of-the-art":[175],"methods,":[176],"experimental":[178],"results":[179],"18":[181],"public":[182],"datasets":[183],"demonstrate":[184],"robustness":[186],"effectiveness":[188],"method.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":35},{"year":2024,"cited_by_count":9}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}