{"id":"https://openalex.org/W2089710311","doi":"https://doi.org/10.1109/grc.2005.1547288","title":"Adaptive discretizer for machine learning based on granular computing and rough sets","display_name":"Adaptive discretizer for machine learning based on granular computing and rough sets","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2089710311","doi":"https://doi.org/10.1109/grc.2005.1547288","mag":"2089710311"},"language":"en","primary_location":{"id":"doi:10.1109/grc.2005.1547288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2005.1547288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Granular Computing","raw_type":"proceedings-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/A5002112471","display_name":"Qingxiang Wu","orcid":"https://orcid.org/0000-0003-4262-8210"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]},{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["CN","GB"],"is_corresponding":true,"raw_author_name":"QingXiang Wu","raw_affiliation_strings":["Intelligent System Engineering Laboratory, University of Ulster, UK","School of Physics and OptoElectronics Technology, Fujian Normal University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Intelligent System Engineering Laboratory, University of Ulster, UK","institution_ids":["https://openalex.org/I138801177"]},{"raw_affiliation_string":"School of Physics and OptoElectronics Technology, Fujian Normal University, Fuzhou, China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338600","display_name":"Ping Wang","orcid":"https://orcid.org/0000-0001-6474-2722"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Wang","raw_affiliation_strings":["School of Physics and OptoElectronics Technology, Fujian Normal University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and OptoElectronics Technology, Fujian Normal University, Fuzhou, China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080717946","display_name":"Xi Huang","orcid":"https://orcid.org/0000-0003-3391-6675"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Huang","raw_affiliation_strings":["School of Physics and OptoElectronics Technology, Fujian Normal University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and OptoElectronics Technology, Fujian Normal University, Fuzhou, China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110369937","display_name":"Shan Yan","orcid":"https://orcid.org/0009-0009-3123-521X"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Yan","raw_affiliation_strings":["School of Physics and OptoElectronics Technology, Fujian Normal University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and OptoElectronics Technology, Fujian Normal University, Fuzhou, China","institution_ids":["https://openalex.org/I111753288"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002112471"],"corresponding_institution_ids":["https://openalex.org/I111753288","https://openalex.org/I138801177"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16263549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"292","last_page":"295 Vol. 1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":1.0,"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":1.0,"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":0.9922999739646912,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9485999941825867,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.9041779041290283},{"id":"https://openalex.org/keywords/granular-computing","display_name":"Granular computing","score":0.8412013053894043},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6960481405258179},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6936759948730469},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.6889162063598633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49653178453445435},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4844062924385071},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47873708605766296},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4518425762653351},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.241092711687088}],"concepts":[{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.9041779041290283},{"id":"https://openalex.org/C17209119","wikidata":"https://www.wikidata.org/wiki/Q5596712","display_name":"Granular computing","level":3,"score":0.8412013053894043},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6960481405258179},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6936759948730469},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.6889162063598633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49653178453445435},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4844062924385071},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47873708605766296},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4518425762653351},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.241092711687088},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/grc.2005.1547288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2005.1547288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Granular Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6600000262260437,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W198324142","https://openalex.org/W1548201226","https://openalex.org/W1678889691","https://openalex.org/W1914018023","https://openalex.org/W1966097845","https://openalex.org/W1981679236","https://openalex.org/W2149706766","https://openalex.org/W2164393635","https://openalex.org/W2170595610","https://openalex.org/W2604116424","https://openalex.org/W2761326069","https://openalex.org/W3112020351","https://openalex.org/W4205739719","https://openalex.org/W4234510949","https://openalex.org/W4236137412"],"related_works":["https://openalex.org/W2385082087","https://openalex.org/W2978631811","https://openalex.org/W2381555525","https://openalex.org/W2106315878","https://openalex.org/W327654139","https://openalex.org/W2389689794","https://openalex.org/W2049054074","https://openalex.org/W2061139474","https://openalex.org/W1970726137","https://openalex.org/W2766401420"],"abstract_inverted_index":{"Machine-learning":[0],"approaches":[1,98],"based":[2,99],"on":[3,80],"granular":[4,36],"computing":[5,37],"and":[6,16,38,63],"rough":[7,39,100],"sets":[8,83],"are":[9],"good":[10],"at":[11],"dealing":[12,44],"with":[13,31,45,74],"discrete":[14],"values":[15,33],"symbolic":[17],"data.":[18],"In":[19],"this":[20,55],"paper,":[21],"a":[22],"novel":[23],"adaptive":[24,56,87],"discretizer":[25,57,88],"is":[26,52],"proposed":[27],"to":[28],"discretize":[29],"attributes":[30],"continuous":[32,49,75],"so":[34],"that":[35,54,85],"set":[40],"theory":[41],"can":[42,58,89],"avoid":[43],"huge":[46],"number":[47,66],"of":[48,61,67],"values.":[50],"It":[51],"demonstrated":[53],"improve":[59,90],"quality":[60],"reducts":[62],"reduce":[64],"the":[65,86,91,95],"basic":[68],"granules":[69],"in":[70],"an":[71],"information":[72],"system":[73],"attributes.":[76],"The":[77],"experimental":[78],"results":[79],"benchmark":[81],"data":[82],"show":[84],"decision":[92],"accuracy":[93],"for":[94],"machine":[96],"learning":[97],"sets.":[101]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}