{"id":"https://openalex.org/W3041467534","doi":"https://doi.org/10.1007/978-3-030-52705-1_36","title":"fuzzy-rough-learn 0.1: A Python Library for Machine Learning with Fuzzy Rough Sets","display_name":"fuzzy-rough-learn 0.1: A Python Library for Machine Learning with Fuzzy Rough Sets","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3041467534","doi":"https://doi.org/10.1007/978-3-030-52705-1_36","mag":"3041467534"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-52705-1_36","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-52705-1_36","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7338175","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044293921","display_name":"Oliver Urs Lenz","orcid":"https://orcid.org/0000-0001-9925-9482"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Oliver Urs Lenz","raw_affiliation_strings":["Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium"],"raw_orcid":"https://orcid.org/0000-0001-9925-9482","affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082713397","display_name":"Daniel Peralta","orcid":"https://orcid.org/0000-0002-7544-8411"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I4210139803","display_name":"VIB-UGent Center for Inflammation Research","ror":"https://ror.org/04q4ydz28","country_code":"BE","type":"facility","lineage":["https://openalex.org/I2802017950","https://openalex.org/I32597200","https://openalex.org/I4210139803"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Daniel Peralta","raw_affiliation_strings":["Data Mining and Modelling for Biomedicine Group, VIB Center for Inflammation Research, Ghent University, Ghent, Belgium","Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium"],"raw_orcid":"https://orcid.org/0000-0002-7544-8411","affiliations":[{"raw_affiliation_string":"Data Mining and Modelling for Biomedicine Group, VIB Center for Inflammation Research, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200","https://openalex.org/I4210139803"]},{"raw_affiliation_string":"Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"last","author":{"id":null,"display_name":"Chris Cornelis","orcid":"https://orcid.org/0000-0002-7854-6025"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Chris Cornelis","raw_affiliation_strings":["Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium"],"raw_orcid":"https://orcid.org/0000-0002-7854-6025","affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044293921"],"corresponding_institution_ids":["https://openalex.org/I32597200"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":6.7428,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.98347994,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"491","last_page":"499"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998000264167786,"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":0.9998000264167786,"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":0.982200026512146,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9706000089645386,"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/python","display_name":"Python (programming language)","score":0.8588615655899048},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.762669563293457},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.6996399164199829},{"id":"https://openalex.org/keywords/java","display_name":"Java","score":0.6616276502609253},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5482221245765686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49360907077789307},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.455382376909256},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43609383702278137},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.26834481954574585}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.8588615655899048},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.762669563293457},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.6996399164199829},{"id":"https://openalex.org/C548217200","wikidata":"https://www.wikidata.org/wiki/Q251","display_name":"Java","level":2,"score":0.6616276502609253},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5482221245765686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49360907077789307},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.455382376909256},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43609383702278137},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.26834481954574585}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-030-52705-1_36","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-52705-1_36","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:pubmedcentral.nih.gov:7338175","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7338175","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Rough Sets","raw_type":"Text"},{"id":"pmh:oai:archive.ugent.be:8669650","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-8669650","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9783030527051","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:7338175","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7338175","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Rough Sets","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4399999976158142,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W6105805","https://openalex.org/W1486147991","https://openalex.org/W1580679283","https://openalex.org/W1600321904","https://openalex.org/W1824220208","https://openalex.org/W1955875725","https://openalex.org/W2000190989","https://openalex.org/W2027654459","https://openalex.org/W2060907774","https://openalex.org/W2101234009","https://openalex.org/W2109240574","https://openalex.org/W2133990480","https://openalex.org/W2151101158","https://openalex.org/W2211181684","https://openalex.org/W2766307109","https://openalex.org/W2778359823","https://openalex.org/W2910096450","https://openalex.org/W2914016760","https://openalex.org/W2963469388","https://openalex.org/W2982498261","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W2341492732","https://openalex.org/W2392963705","https://openalex.org/W3187193180","https://openalex.org/W106542691","https://openalex.org/W4287027380","https://openalex.org/W2107349454","https://openalex.org/W1699080303","https://openalex.org/W2978519593","https://openalex.org/W2102746356","https://openalex.org/W4390066334"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":3}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
