{"id":"https://openalex.org/W1485477862","doi":"https://doi.org/10.1007/3-540-47887-6_40","title":"Mining Interesting Rules in Meningitis Data by Cooperatively Using GDT-RS and RSBR","display_name":"Mining Interesting Rules in Meningitis Data by Cooperatively Using GDT-RS and RSBR","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W1485477862","doi":"https://doi.org/10.1007/3-540-47887-6_40","mag":"1485477862"},"language":"en","primary_location":{"id":"doi:10.1007/3-540-47887-6_40","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-47887-6_40","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":"book-chapter","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/A5022096691","display_name":"Ning Zhong","orcid":"https://orcid.org/0000-0001-7882-8340"},"institutions":[{"id":"https://openalex.org/I153470267","display_name":"Maebashi Institute of Technology","ror":"https://ror.org/01x05rm94","country_code":"JP","type":"education","lineage":["https://openalex.org/I153470267"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ning Zhong","raw_affiliation_strings":["Department of Information Engineering, Maebashi Institute of Technology, 460-1, Kamisadori-Cho, Maebashi-City, 371, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Maebashi Institute of Technology, 460-1, Kamisadori-Cho, Maebashi-City, 371, Japan","institution_ids":["https://openalex.org/I153470267"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032825267","display_name":"Juzhen Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I153470267","display_name":"Maebashi Institute of Technology","ror":"https://ror.org/01x05rm94","country_code":"JP","type":"education","lineage":["https://openalex.org/I153470267"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Juzhen Dong","raw_affiliation_strings":["Department of Information Engineering, Maebashi Institute of Technology, 460-1, Kamisadori-Cho, Maebashi-City, 371, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Maebashi Institute of Technology, 460-1, Kamisadori-Cho, Maebashi-City, 371, Japan","institution_ids":["https://openalex.org/I153470267"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5022096691"],"corresponding_institution_ids":["https://openalex.org/I153470267"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.3616,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59352518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"405","last_page":"416"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9639999866485596,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9186999797821045,"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/discretization","display_name":"Discretization","score":0.8795182704925537},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.8613200187683105},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7046093344688416},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6904977560043335},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5810716152191162},{"id":"https://openalex.org/keywords/rule-induction","display_name":"Rule induction","score":0.5749290585517883},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.5052836537361145},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5003893375396729},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.49187302589416504},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.4779370129108429},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45111632347106934},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4206756055355072},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3703663945198059},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3321155607700348},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18930673599243164},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06874772906303406}],"concepts":[{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.8795182704925537},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.8613200187683105},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7046093344688416},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6904977560043335},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5810716152191162},{"id":"https://openalex.org/C2776780472","wikidata":"https://www.wikidata.org/wiki/Q7378945","display_name":"Rule induction","level":2,"score":0.5749290585517883},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.5052836537361145},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5003893375396729},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.49187302589416504},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.4779370129108429},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45111632347106934},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4206756055355072},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3703663945198059},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3321155607700348},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18930673599243164},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06874772906303406},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/3-540-47887-6_40","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-47887-6_40","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W131805571","https://openalex.org/W615737634","https://openalex.org/W1482209170","https://openalex.org/W1527997375","https://openalex.org/W1553696291","https://openalex.org/W1553701556","https://openalex.org/W1557923305","https://openalex.org/W1654288057","https://openalex.org/W1678889691","https://openalex.org/W1877826059","https://openalex.org/W2032427901","https://openalex.org/W2089933214","https://openalex.org/W2340020088","https://openalex.org/W2485462264","https://openalex.org/W2506703326","https://openalex.org/W4232953319","https://openalex.org/W6619093945","https://openalex.org/W6633402183"],"related_works":["https://openalex.org/W110822640","https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904","https://openalex.org/W2390914021"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}