{"id":"https://openalex.org/W3185234021","doi":"https://doi.org/10.1007/s10489-021-02526-9","title":"Incremental neighborhood entropy-based feature selection for mixed-type data under the variation of feature set","display_name":"Incremental neighborhood entropy-based feature selection for mixed-type data under the variation of feature set","publication_year":2021,"publication_date":"2021-07-28","ids":{"openalex":"https://openalex.org/W3185234021","doi":"https://doi.org/10.1007/s10489-021-02526-9","mag":"3185234021"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-021-02526-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-021-02526-9","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/A5109184956","display_name":"Wenhao Shu","orcid":"https://orcid.org/0000-0003-2422-6760"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhao Shu","raw_affiliation_strings":["School of Information Engineering, East China Jiaotong University, Nanchang, 330013, People\u2019s Republic of China","School of Information Engineering, East China Jiaotong University, Nanchang, 330013, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, East China Jiaotong University, Nanchang, 330013, People\u2019s Republic of China","institution_ids":["https://openalex.org/I13985625"]},{"raw_affiliation_string":"School of Information Engineering, East China Jiaotong University, Nanchang, 330013, People's Republic of China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101678567","display_name":"Wenbin Qian","orcid":"https://orcid.org/0000-0003-4108-9737"},"institutions":[{"id":"https://openalex.org/I74837319","display_name":"Jiangxi Agricultural University","ror":"https://ror.org/00dc7s858","country_code":"CN","type":"education","lineage":["https://openalex.org/I74837319"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenbin Qian","raw_affiliation_strings":["School of Software, Jiangxi Agricultural University, Nanchang, 330045, People\u2019s Republic of China","School of Software, Jiangxi Agricultural University, Nanchang, 330045, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Jiangxi Agricultural University, Nanchang, 330045, People\u2019s Republic of China","institution_ids":["https://openalex.org/I74837319"]},{"raw_affiliation_string":"School of Software, Jiangxi Agricultural University, Nanchang, 330045, People's Republic of China","institution_ids":["https://openalex.org/I74837319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100916822","display_name":"Yonghong Xie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yonghong Xie","raw_affiliation_strings":["Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, 100083, People\u2019s Republic of China","Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, 100083, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, 100083, People\u2019s Republic of China","institution_ids":[]},{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, 100083, People's Republic of China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101678567"],"corresponding_institution_ids":["https://openalex.org/I74837319"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":1.4532,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.84122021,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"52","issue":"5","first_page":"4792","last_page":"4806"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998999834060669,"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":0.9998999834060669,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9672999978065491,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12368","display_name":"Grey System Theory Applications","score":0.9449999928474426,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7567288875579834},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7104213237762451},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.6639019846916199},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6599860191345215},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5833238959312439},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5755861401557922},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5277609825134277},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.5224339365959167},{"id":"https://openalex.org/keywords/data-type","display_name":"Data type","score":0.4774251878261566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.470001757144928},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.253061980009079}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7567288875579834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7104213237762451},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.6639019846916199},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6599860191345215},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5833238959312439},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5755861401557922},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5277609825134277},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.5224339365959167},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.4774251878261566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.470001757144928},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.253061980009079},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-021-02526-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-021-02526-9","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1225717426","https://openalex.org/W1560107318","https://openalex.org/W1987709954","https://openalex.org/W1997687853","https://openalex.org/W2000599157","https://openalex.org/W2006825961","https://openalex.org/W2007810691","https://openalex.org/W2017337590","https://openalex.org/W2024172683","https://openalex.org/W2032339756","https://openalex.org/W2035742098","https://openalex.org/W2044470705","https://openalex.org/W2048258463","https://openalex.org/W2049105561","https://openalex.org/W2070416356","https://openalex.org/W2077534041","https://openalex.org/W2079680557","https://openalex.org/W2079784780","https://openalex.org/W2086438841","https://openalex.org/W2125877832","https://openalex.org/W2130367040","https://openalex.org/W2158633287","https://openalex.org/W2163952039","https://openalex.org/W2169038408","https://openalex.org/W2292553612","https://openalex.org/W2346877529","https://openalex.org/W2432138738","https://openalex.org/W2500526976","https://openalex.org/W2511401805","https://openalex.org/W2517012834","https://openalex.org/W2570343052","https://openalex.org/W2585056138","https://openalex.org/W2588659412","https://openalex.org/W2594029683","https://openalex.org/W2616538266","https://openalex.org/W2625359627","https://openalex.org/W2707389940","https://openalex.org/W2766239046","https://openalex.org/W2795686572","https://openalex.org/W2800314720","https://openalex.org/W2801786879","https://openalex.org/W2804435348","https://openalex.org/W2883737195","https://openalex.org/W2896326747","https://openalex.org/W2900648357","https://openalex.org/W2910351322","https://openalex.org/W2913179211","https://openalex.org/W2917491157","https://openalex.org/W2956603593","https://openalex.org/W2956646341","https://openalex.org/W2964132430","https://openalex.org/W2993819837","https://openalex.org/W2996490657","https://openalex.org/W2999769113","https://openalex.org/W3003601264","https://openalex.org/W3035596056","https://openalex.org/W3045107841","https://openalex.org/W3107677598"],"related_works":["https://openalex.org/W2392963705","https://openalex.org/W2107349454","https://openalex.org/W2382278777","https://openalex.org/W2167403502","https://openalex.org/W2353240132","https://openalex.org/W1587347718","https://openalex.org/W2131323062","https://openalex.org/W4308273529","https://openalex.org/W4245750691","https://openalex.org/W2378724343"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}