{"id":"https://openalex.org/W2078153816","doi":"https://doi.org/10.1109/grc.2005.1547272","title":"An algorithm of association rules extracting based on granular computing and its application","display_name":"An algorithm of association rules extracting based on granular computing and its application","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2078153816","doi":"https://doi.org/10.1109/grc.2005.1547272","mag":"2078153816"},"language":"en","primary_location":{"id":"doi:10.1109/grc.2005.1547272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2005.1547272","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/A5067457943","display_name":"Taorong Qiu","orcid":"https://orcid.org/0000-0002-6376-1208"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]},{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Taorong Qiu","raw_affiliation_strings":["Department of Computer, University of Nanchang, Nanchang, Jiangxi, China","School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer, University of Nanchang, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I141649914"]},{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaoqing Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]},{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqing Chen","raw_affiliation_strings":["Department of Computer, University of Nanchang, Nanchang, Jiangxi, China","School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer, University of Nanchang, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I141649914"]},{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073871761","display_name":"Qing Liu","orcid":"https://orcid.org/0000-0002-3546-9832"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Liu","raw_affiliation_strings":["Department of Computer, University of Nanchang, Nanchang, Jiangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer, University of Nanchang, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110189868","display_name":"Houkuan Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houkuan Huang","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067457943"],"corresponding_institution_ids":["https://openalex.org/I141649914","https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.6735,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72084093,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":null,"first_page":"225","last_page":"228 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":0.9941999912261963,"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/T11727","display_name":"Advanced Algebra and Logic","score":0.9832000136375427,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.8886170387268066},{"id":"https://openalex.org/keywords/apriori-algorithm","display_name":"Apriori algorithm","score":0.8541969060897827},{"id":"https://openalex.org/keywords/granular-computing","display_name":"Granular computing","score":0.7416754961013794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7301773428916931},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.7130938172340393},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6242288947105408},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.5228769779205322},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.5077946782112122},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.502208948135376},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.49982118606567383},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.14968764781951904},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14326375722885132}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.8886170387268066},{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.8541969060897827},{"id":"https://openalex.org/C17209119","wikidata":"https://www.wikidata.org/wiki/Q5596712","display_name":"Granular computing","level":3,"score":0.7416754961013794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7301773428916931},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.7130938172340393},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6242288947105408},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.5228769779205322},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.5077946782112122},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.502208948135376},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.49982118606567383},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.14968764781951904},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14326375722885132},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/grc.2005.1547272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2005.1547272","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1851798677","https://openalex.org/W1890541747","https://openalex.org/W1947957290","https://openalex.org/W2153676086","https://openalex.org/W2381997991","https://openalex.org/W2946461872","https://openalex.org/W4247898224","https://openalex.org/W6632067890"],"related_works":["https://openalex.org/W2390051172","https://openalex.org/W2367209111","https://openalex.org/W2351000793","https://openalex.org/W2366790077","https://openalex.org/W2348276166","https://openalex.org/W3034345083","https://openalex.org/W2607264580","https://openalex.org/W1483188779","https://openalex.org/W2383378197","https://openalex.org/W2009718752"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"on":[3],"the":[4,7,23,27,31,53,63,72],"basis":[5],"of":[6,22,65],"Apriori":[8,32],"algorithm,":[9],"a":[10,43],"granular":[11,54],"computing-based":[12,55],"algorithm":[13,29,33,56],"for":[14,57],"association":[15,58],"rules":[16,59],"extracting":[17,60],"is":[18,34,40,50],"presented.":[19],"The":[20],"comparison":[21],"running":[24,38],"time":[25],"between":[26],"presented":[28],"and":[30,36,68],"discussed,":[35],"its":[37],"procedure":[39],"illustrated":[41],"by":[42],"real":[44],"world":[45],"example.":[46],"By":[47],"analyzing,":[48],"it":[49],"shown":[51],"that":[52],"reduces":[61],"efficiently":[62],"number":[64],"candidate":[66],"elements,":[67],"avoids":[69],"scanning":[70],"repeatedly":[71],"information":[73],"table.":[74]},"counts_by_year":[],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}
