{"id":"https://openalex.org/W4406067917","doi":"https://doi.org/10.1007/s10489-024-06134-1","title":"Granular-ball-matrix-based incremental semi-supervised feature selection approach to high-dimensional variation using neighbourhood discernibility degree for ordered partially labelled dataset","display_name":"Granular-ball-matrix-based incremental semi-supervised feature selection approach to high-dimensional variation using neighbourhood discernibility degree for ordered partially labelled dataset","publication_year":2025,"publication_date":"2025-01-04","ids":{"openalex":"https://openalex.org/W4406067917","doi":"https://doi.org/10.1007/s10489-024-06134-1"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-024-06134-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-024-06134-1","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","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/A5087041238","display_name":"Weihua Xu","orcid":"https://orcid.org/0000-0001-5419-4654"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weihua Xu","raw_affiliation_strings":["College of Artificial Intelligence, Southwest University, Chongqing, 400715, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-5419-4654","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Southwest University, Chongqing, 400715, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100454992","display_name":"Jinlong Li","orcid":"https://orcid.org/0000-0003-2724-7807"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlong Li","raw_affiliation_strings":["College of Artificial Intelligence, Southwest University, Chongqing, 400715, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Southwest University, Chongqing, 400715, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5087041238"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":6.113,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.96348217,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"55","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9940000176429749,"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"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9763000011444092,"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":0.7808513641357422},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6073552370071411},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.6045922636985779},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5987626910209656},{"id":"https://openalex.org/keywords/neighbourhood","display_name":"Neighbourhood (mathematics)","score":0.540952742099762},{"id":"https://openalex.org/keywords/ball","display_name":"Ball (mathematics)","score":0.5086587071418762},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.49732211232185364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4678799510002136},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4613592326641083},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4354782998561859},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3205275535583496},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19161909818649292},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.0862824022769928},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06710132956504822},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.058842867612838745},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.055444419384002686}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7808513641357422},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6073552370071411},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.6045922636985779},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5987626910209656},{"id":"https://openalex.org/C161677786","wikidata":"https://www.wikidata.org/wiki/Q2478475","display_name":"Neighbourhood (mathematics)","level":2,"score":0.540952742099762},{"id":"https://openalex.org/C122041747","wikidata":"https://www.wikidata.org/wiki/Q838611","display_name":"Ball (mathematics)","level":2,"score":0.5086587071418762},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.49732211232185364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4678799510002136},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4613592326641083},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4354782998561859},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3205275535583496},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19161909818649292},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0862824022769928},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06710132956504822},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.058842867612838745},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.055444419384002686},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-024-06134-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-024-06134-1","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G4107097835","display_name":null,"funder_award_id":"62376229","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":34,"referenced_works":["https://openalex.org/W2158633287","https://openalex.org/W2807198477","https://openalex.org/W2904844946","https://openalex.org/W2908436867","https://openalex.org/W2917491157","https://openalex.org/W2993819837","https://openalex.org/W3009268948","https://openalex.org/W3029713334","https://openalex.org/W3088081507","https://openalex.org/W3118643612","https://openalex.org/W3119764001","https://openalex.org/W3133880498","https://openalex.org/W3155562149","https://openalex.org/W3164150245","https://openalex.org/W3183381914","https://openalex.org/W3195152596","https://openalex.org/W3212203443","https://openalex.org/W3217487116","https://openalex.org/W4200438419","https://openalex.org/W4206622950","https://openalex.org/W4206946444","https://openalex.org/W4210471401","https://openalex.org/W4210802150","https://openalex.org/W4220994103","https://openalex.org/W4224078813","https://openalex.org/W4285292919","https://openalex.org/W4307982988","https://openalex.org/W4311433044","https://openalex.org/W4313594289","https://openalex.org/W4315477112","https://openalex.org/W4324116579","https://openalex.org/W4382542712","https://openalex.org/W4386348951","https://openalex.org/W4387958621"],"related_works":["https://openalex.org/W2386430105","https://openalex.org/W2356521405","https://openalex.org/W4393363920","https://openalex.org/W2038534795","https://openalex.org/W2384358604","https://openalex.org/W1567829292","https://openalex.org/W3001063351","https://openalex.org/W3196905815","https://openalex.org/W2351370765","https://openalex.org/W3133811809"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}