{"id":"https://openalex.org/W4404928453","doi":"https://doi.org/10.1007/s10489-024-05950-9","title":"Hybrid imputation-based optimal evidential classification for missing data","display_name":"Hybrid imputation-based optimal evidential classification for missing data","publication_year":2024,"publication_date":"2024-12-02","ids":{"openalex":"https://openalex.org/W4404928453","doi":"https://doi.org/10.1007/s10489-024-05950-9"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-024-05950-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-024-05950-9","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/A5115595967","display_name":"Zhen Zhang","orcid":"https://orcid.org/0000-0002-0647-4253"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Zhang","raw_affiliation_strings":["School of Electrical and Information Engineering, Zhengzhou University, No. 100 Science Avenue, Zhengzhou, Henan, 450001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Zhengzhou University, No. 100 Science Avenue, Zhengzhou, Henan, 450001, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078528204","display_name":"Hongpeng Tian","orcid":"https://orcid.org/0000-0001-9212-7719"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong-peng Tian","raw_affiliation_strings":["School of Electrical and Information Engineering, Zhengzhou University, No. 100 Science Avenue, Zhengzhou, Henan, 450001, China"],"raw_orcid":"https://orcid.org/0000-0001-9212-7719","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Zhengzhou University, No. 100 Science Avenue, Zhengzhou, Henan, 450001, China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5078528204"],"corresponding_institution_ids":["https://openalex.org/I38877650"],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":null,"fwci":0.6902,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76764975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"55","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9957000017166138,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9957000017166138,"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":0.994700014591217,"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/T10057","display_name":"Face and Expression Recognition","score":0.9904000163078308,"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":0.8659673929214478},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.7858791351318359},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.7160776853561401},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4770835340023041},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4021967351436615},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3564508259296417},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3067886233329773}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8659673929214478},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.7858791351318359},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7160776853561401},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4770835340023041},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4021967351436615},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3564508259296417},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3067886233329773}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-024-05950-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-024-05950-9","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W873782400","https://openalex.org/W1537066827","https://openalex.org/W1981643872","https://openalex.org/W2011054301","https://openalex.org/W2083143867","https://openalex.org/W2098424867","https://openalex.org/W2153877089","https://openalex.org/W2193720533","https://openalex.org/W2293710996","https://openalex.org/W2342603028","https://openalex.org/W2403746960","https://openalex.org/W2623978803","https://openalex.org/W2726357088","https://openalex.org/W2756848027","https://openalex.org/W2789043468","https://openalex.org/W3007192638","https://openalex.org/W3088577611","https://openalex.org/W3157791054","https://openalex.org/W3173585909","https://openalex.org/W3196529359","https://openalex.org/W4220839483","https://openalex.org/W4284990084","https://openalex.org/W4288456949","https://openalex.org/W4292380966","https://openalex.org/W4296916927","https://openalex.org/W4312447176","https://openalex.org/W4317433730","https://openalex.org/W4318250018","https://openalex.org/W4362508020","https://openalex.org/W4366310701","https://openalex.org/W4367057034","https://openalex.org/W4384202805","https://openalex.org/W4385424049","https://openalex.org/W4385494891","https://openalex.org/W4386997414"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W2903115227","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}