{"id":"https://openalex.org/W4313495872","doi":"https://doi.org/10.1109/scisisis55246.2022.10002031","title":"Partial Discernibility Matrices for Enumerating Relative Reducts of Large Datasets","display_name":"Partial Discernibility Matrices for Enumerating Relative Reducts of Large Datasets","publication_year":2022,"publication_date":"2022-11-29","ids":{"openalex":"https://openalex.org/W4313495872","doi":"https://doi.org/10.1109/scisisis55246.2022.10002031"},"language":"en","primary_location":{"id":"doi:10.1109/scisisis55246.2022.10002031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scisisis55246.2022.10002031","pdf_url":null,"source":{"id":"https://openalex.org/S4363607982","display_name":"2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS)","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/A5062356397","display_name":"Hajime Okawa","orcid":null},"institutions":[{"id":"https://openalex.org/I41725924","display_name":"Muroran Institute of Technology","ror":"https://ror.org/04rymkk69","country_code":"JP","type":"education","lineage":["https://openalex.org/I41725924"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hajime Okawa","raw_affiliation_strings":["Graduate School of Engineering, Muroran Institute of Technology,Muroran,Japan","Graduate School of Engineering, Muroran Institute of Technology, Muroran, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Muroran Institute of Technology,Muroran,Japan","institution_ids":["https://openalex.org/I41725924"]},{"raw_affiliation_string":"Graduate School of Engineering, Muroran Institute of Technology, Muroran, Japan","institution_ids":["https://openalex.org/I41725924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054917794","display_name":"Yasuo Kudo","orcid":"https://orcid.org/0009-0009-2968-1448"},"institutions":[{"id":"https://openalex.org/I41725924","display_name":"Muroran Institute of Technology","ror":"https://ror.org/04rymkk69","country_code":"JP","type":"education","lineage":["https://openalex.org/I41725924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuo Kudo","raw_affiliation_strings":["College of Information and Systems, Muroran Institute of Technology,Muroran,Japan","College of Information and Systems, Muroran Institute of Technology, Muroran, Japan"],"affiliations":[{"raw_affiliation_string":"College of Information and Systems, Muroran Institute of Technology,Muroran,Japan","institution_ids":["https://openalex.org/I41725924"]},{"raw_affiliation_string":"College of Information and Systems, Muroran Institute of Technology, Muroran, Japan","institution_ids":["https://openalex.org/I41725924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110512145","display_name":"Tetsuya Murai","orcid":null},"institutions":[{"id":"https://openalex.org/I116680314","display_name":"Chitose Institute of Science and Technology","ror":"https://ror.org/037xccs34","country_code":"JP","type":"education","lineage":["https://openalex.org/I116680314"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Murai","raw_affiliation_strings":["Chitose Institute of Science and Technology,Dept. of Information Systems Engineering,Chitose,Japan","Dept. of Information Systems Engineering, Chitose Institute of Science and Technology, Chitose, Japan"],"affiliations":[{"raw_affiliation_string":"Chitose Institute of Science and Technology,Dept. of Information Systems Engineering,Chitose,Japan","institution_ids":["https://openalex.org/I116680314"]},{"raw_affiliation_string":"Dept. of Information Systems Engineering, Chitose Institute of Science and Technology, Chitose, Japan","institution_ids":["https://openalex.org/I116680314"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062356397"],"corresponding_institution_ids":["https://openalex.org/I41725924"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22112211,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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":0.9710999727249146,"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/T11106","display_name":"Data Management and Algorithms","score":0.9574999809265137,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.902651846408844},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.6516196727752686},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6318525671958923},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5631369948387146},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4800490140914917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.419666051864624},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32092687487602234}],"concepts":[{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.902651846408844},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.6516196727752686},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6318525671958923},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5631369948387146},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4800490140914917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.419666051864624},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32092687487602234},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/scisisis55246.2022.10002031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scisisis55246.2022.10002031","pdf_url":null,"source":{"id":"https://openalex.org/S4363607982","display_name":"2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1553701556","https://openalex.org/W1991837393","https://openalex.org/W2045642935","https://openalex.org/W2112971862","https://openalex.org/W2392930720","https://openalex.org/W2397851851","https://openalex.org/W3120740533","https://openalex.org/W4255833381","https://openalex.org/W7052395119"],"related_works":["https://openalex.org/W2392963705","https://openalex.org/W1985015628","https://openalex.org/W2369031945","https://openalex.org/W2204496524","https://openalex.org/W2388587252","https://openalex.org/W2354040054","https://openalex.org/W1970534408","https://openalex.org/W2350442377","https://openalex.org/W2355835716","https://openalex.org/W2390930446"],"abstract_inverted_index":{"Discernibility":[0],"matrix":[1,37,171],"is":[2,57,146,172],"one":[3,138],"of":[4,12,47,54,64,80,93,101,107,116,119,125,150,163,178],"the":[5,34,45,48,52,69,83,90,99,105,108,113,133,151,168],"basic":[6],"tools":[7],"for":[8],"enumerating":[9],"relative":[10,66,126,159,176],"reducts":[11,67,127,177],"decision":[13],"tables":[14],"in":[15,104,148],"rough":[16],"sets,":[17,153],"however":[18],"it":[19],"needs":[20],"heavy":[21],"computing":[22],"load":[23],"when":[24,174],"dealing":[25],"with":[26,42,82],"large":[27,179],"datasets.":[28,180],"In":[29],"this":[30,144],"paper,":[31],"we":[32,74,141,155],"propose":[33],"partial":[35,70,109,169],"discernibility":[36,71,110,170],"which":[38],"has":[39,136],"only":[40,120,137],"elements":[41],"respect":[43],"to":[44,59],"pairs":[46],"objects":[49],"indiscernible":[50],"by":[51],"set":[53,100,115,135],"attributes.":[55,95],"It":[56,88,97],"possible":[58],"obtain":[60,157],"all":[61,77,94,124],"or":[62],"some":[63],"certain":[65],"from":[68],"matrix.":[72,111],"Indeed,":[73],"can":[75,156],"enumerate":[76],"minimal":[78],"sets":[79],"attributes":[81,102,117],"following":[84],"two":[85],"conditions:":[86],"(1)":[87],"preserves":[89],"classification":[91],"ability":[92],"(2)":[96],"includes":[98],"employed":[103,114,134],"construction":[106],"If":[112],"consists":[118],"core":[121],"attributes,":[122],"then":[123,154],"are":[128],"directly":[129],"enumerated.":[130],"Moreover,":[131],"if":[132],"attribute":[139,145],"and":[140],"check":[142],"whether":[143],"redundant":[147],"each":[149],"derived":[152],"several":[158],"reducts.":[160],"The":[161],"results":[162],"comparison":[164],"experiments":[165],"show":[166],"that":[167],"effective":[173],"finding":[175]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}