{"id":"https://openalex.org/W4406730759","doi":"https://doi.org/10.1007/s13042-025-02546-8","title":"The processing for label noise based on attribute reduction and two-step method","display_name":"The processing for label noise based on attribute reduction and two-step method","publication_year":2025,"publication_date":"2025-01-22","ids":{"openalex":"https://openalex.org/W4406730759","doi":"https://doi.org/10.1007/s13042-025-02546-8"},"language":"en","primary_location":{"id":"doi:10.1007/s13042-025-02546-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13042-025-02546-8","pdf_url":null,"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":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101768802","display_name":"Xingyu Wu","orcid":"https://orcid.org/0000-0002-8204-6197"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyu Wu","raw_affiliation_strings":["School of Science, Beijing University of Posts and Telecommunications, Beijing, 100876, China"],"affiliations":[{"raw_affiliation_string":"School of Science, Beijing University of Posts and Telecommunications, Beijing, 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025667122","display_name":"Ping Zhu","orcid":"https://orcid.org/0000-0001-8259-2705"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ping Zhu","raw_affiliation_strings":["Key Laboratory of Mathematics and Information Networks (Beijing University of Posts and Telecommunications), Ministry of Education, Beijing, China","School of Science, Beijing University of Posts and Telecommunications, Beijing, 100876, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Mathematics and Information Networks (Beijing University of Posts and Telecommunications), Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Science, Beijing University of Posts and Telecommunications, Beijing, 100876, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025667122"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":{"value":2790,"currency":"EUR","value_usd":3590},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01786954,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":"7-8","first_page":"4833","last_page":"4847"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9923999905586243,"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":0.9923999905586243,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.989300012588501,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.6884702444076538},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6575950980186462},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6502627730369568},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6472629904747009},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5721950531005859},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5466790795326233},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47557011246681213},{"id":"https://openalex.org/keywords/one-step","display_name":"One-Step","score":0.412047415971756},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36254310607910156},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3485264778137207},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.309709370136261},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07955032587051392},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07726716995239258}],"concepts":[{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.6884702444076538},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6575950980186462},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6502627730369568},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6472629904747009},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5721950531005859},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5466790795326233},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47557011246681213},{"id":"https://openalex.org/C2779729748","wikidata":"https://www.wikidata.org/wiki/Q1968059","display_name":"One-Step","level":2,"score":0.412047415971756},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36254310607910156},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3485264778137207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.309709370136261},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07955032587051392},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07726716995239258},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s13042-025-02546-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13042-025-02546-8","pdf_url":null,"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":null,"license_id":null,"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":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7439157512","display_name":null,"funder_award_id":"62172048","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":37,"referenced_works":["https://openalex.org/W9014458","https://openalex.org/W1986332411","https://openalex.org/W2016944307","https://openalex.org/W2022479766","https://openalex.org/W2044012286","https://openalex.org/W2070813883","https://openalex.org/W2089923511","https://openalex.org/W2124316743","https://openalex.org/W2125943921","https://openalex.org/W2135596587","https://openalex.org/W2155430615","https://openalex.org/W2176159905","https://openalex.org/W2295036975","https://openalex.org/W2295086410","https://openalex.org/W2519676467","https://openalex.org/W2590761734","https://openalex.org/W2895410835","https://openalex.org/W2913728419","https://openalex.org/W3130247029","https://openalex.org/W3202620420","https://openalex.org/W3217201372","https://openalex.org/W4200497114","https://openalex.org/W4206023644","https://openalex.org/W4293562735","https://openalex.org/W4353055682","https://openalex.org/W4376143078","https://openalex.org/W4378978494","https://openalex.org/W4382398025","https://openalex.org/W4384257687","https://openalex.org/W4385337081","https://openalex.org/W4388194885","https://openalex.org/W4389355827","https://openalex.org/W4391378247","https://openalex.org/W4394693567","https://openalex.org/W4394863099","https://openalex.org/W4395959954","https://openalex.org/W4397043474"],"related_works":["https://openalex.org/W2736674626","https://openalex.org/W2973875853","https://openalex.org/W2532234348","https://openalex.org/W108084911","https://openalex.org/W2393440248","https://openalex.org/W2894912768","https://openalex.org/W4392353267","https://openalex.org/W3034789145","https://openalex.org/W4367628250","https://openalex.org/W4388819787"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-01-22T23:29:09.771500","created_date":"2025-10-10T00:00:00"}
