{"id":"https://openalex.org/W2810528143","doi":"https://doi.org/10.1109/fskd.2017.8393345","title":"Visualization of association rules based on a gray correlation analysis model","display_name":"Visualization of association rules based on a gray correlation analysis model","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2810528143","doi":"https://doi.org/10.1109/fskd.2017.8393345","mag":"2810528143"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2017.8393345","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393345","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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/A5100558588","display_name":"Zhiyun Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhi-yun Zheng","raw_affiliation_strings":["School of Information Engineering Zhengzhou University, ZhengZhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering Zhengzhou University, ZhengZhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065337141","display_name":"Jia-zhuang Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia-zhuang Guo","raw_affiliation_strings":["School of Information Engineering Zhengzhou University, ZhengZhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering Zhengzhou University, ZhengZhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109092858","display_name":"Yuan Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Fu","raw_affiliation_strings":["School of Information Engineering Zhengzhou University, ZhengZhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering Zhengzhou University, ZhengZhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115601966","display_name":"Lun Li","orcid":"https://orcid.org/0000-0001-7455-2930"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lun Li","raw_affiliation_strings":["School of Information Engineering Zhengzhou University, ZhengZhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering Zhengzhou University, ZhengZhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048709524","display_name":"Dun Li","orcid":"https://orcid.org/0000-0002-1986-7144"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dun Li","raw_affiliation_strings":["School of Information Engineering Zhengzhou University, ZhengZhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering Zhengzhou University, ZhengZhou, China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100558588"],"corresponding_institution_ids":["https://openalex.org/I38877650"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.32110876,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"v25","issue":null,"first_page":"638","last_page":"643"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9287999868392944,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9287999868392944,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.8801933526992798},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.8668433427810669},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7467741370201111},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7461483478546143},{"id":"https://openalex.org/keywords/gray","display_name":"Gray (unit)","score":0.6775357127189636},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5182711482048035},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5004227161407471},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4254637360572815},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42495256662368774},{"id":"https://openalex.org/keywords/information-visualization","display_name":"Information visualization","score":0.42492973804473877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37635427713394165},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1434551179409027}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.8801933526992798},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.8668433427810669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7467741370201111},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7461483478546143},{"id":"https://openalex.org/C166275286","wikidata":"https://www.wikidata.org/wiki/Q190095","display_name":"Gray (unit)","level":2,"score":0.6775357127189636},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5182711482048035},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5004227161407471},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4254637360572815},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42495256662368774},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.42492973804473877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37635427713394165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1434551179409027},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2017.8393345","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393345","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1986539725","https://openalex.org/W2118411523","https://openalex.org/W2357968876","https://openalex.org/W2362007131","https://openalex.org/W2367819990","https://openalex.org/W2371795139","https://openalex.org/W2376131030","https://openalex.org/W2532031107","https://openalex.org/W2548753368","https://openalex.org/W3152463514","https://openalex.org/W6706712478","https://openalex.org/W6793689086"],"related_works":["https://openalex.org/W1486825289","https://openalex.org/W3010975807","https://openalex.org/W2027333138","https://openalex.org/W3185027765","https://openalex.org/W2096373083","https://openalex.org/W2105200106","https://openalex.org/W2151530263","https://openalex.org/W2104025928","https://openalex.org/W1574055964","https://openalex.org/W2295030662"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,5,15,18,23,27,30,34,50,53,57,61,66,69,79,82,89,92,101,109,118],"limitations":[3,16],"of":[4,17,52,81,91],"existing":[6,119],"association":[7,54],"rules":[8,32,55],"visualization":[9,39,111],"mining":[10,83,103],"method":[11,64],"in":[12,33,65],"dealing":[13],"with":[14,117],"frequent":[19,24],"multi-feature":[20],"data":[21],"and":[22,29,76,78,108],"patterns":[25],"between":[26],"data,":[28],"overlapping":[31],"visualization,":[35],"a":[36],"correlation":[37,44],"rule":[38],"algorithm":[40,48,104],"based":[41],"on":[42,56,60],"gray":[43,67],"is":[45],"proposed.":[46],"The":[47,96],"considers":[49],"influence":[51],"visualization.":[58],"Based":[59],"attribute":[62,72,94],"analysis":[63],"set,":[68],"multi":[70],"-":[71],"values":[73],"are":[74,85],"defined":[75],"classified,":[77],"parameters":[80],"process":[84],"adjusted":[86],"to":[87],"facilitate":[88],"selection":[90],"key":[93],"values.":[95],"experimental":[97],"results":[98],"show":[99],"that":[100],"improved":[102],"has":[105,113],"good":[106,114],"performance,":[107],"proposed":[110],"form":[112],"effect":[115],"compared":[116],"results.":[120]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}