{"id":"https://openalex.org/W2512399779","doi":"https://doi.org/10.1145/2968220.2968222","title":"Visual Analysis of User-Driven Association Rule Mining","display_name":"Visual Analysis of User-Driven Association Rule Mining","publication_year":2016,"publication_date":"2016-08-31","ids":{"openalex":"https://openalex.org/W2512399779","doi":"https://doi.org/10.1145/2968220.2968222","mag":"2512399779"},"language":"en","primary_location":{"id":"doi:10.1145/2968220.2968222","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2968220.2968222","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Symposium on Visual Information Communication and Interaction","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/A5100782035","display_name":"Hui Lei","orcid":"https://orcid.org/0000-0002-9448-9673"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Lei","raw_affiliation_strings":["Colleage of Electronic and Information Engineering, Changsha University of Science and Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Colleage of Electronic and Information Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106723036","display_name":"Cong Xie","orcid":"https://orcid.org/0000-0001-5760-7522"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cong Xie","raw_affiliation_strings":["Department of Computer Science, Stony Brook University, Stony Brook, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Stony Brook University, Stony Brook, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079378184","display_name":"Pingping Shang","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pingping Shang","raw_affiliation_strings":["State Key Lab of CAD& CG, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of CAD& CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403516","display_name":"Fan Zhang","orcid":"https://orcid.org/0000-0002-8736-8961"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Zhang","raw_affiliation_strings":["Department of Computer Science, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100756971","display_name":"Wei Chen","orcid":"https://orcid.org/0000-0002-2876-6687"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":["State Key Lab of CAD& CG, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of CAD& CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108580059","display_name":"Qunsheng Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qunsheng Peng","raw_affiliation_strings":["State Key Lab of CAD& CG, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of CAD& CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100782035"],"corresponding_institution_ids":["https://openalex.org/I56934997"],"apc_list":null,"apc_paid":null,"fwci":2.6539,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.91861854,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"96","last_page":"103"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9991999864578247,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9891999959945679,"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/association-rule-learning","display_name":"Association rule learning","score":0.8829375505447388},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.797979474067688},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.7849781513214111},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7364607453346252},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7165346741676331},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6215110421180725},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5818138718605042},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.527312695980072},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5166926383972168},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4517849385738373},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3659971356391907},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14681944251060486}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.8829375505447388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.797979474067688},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.7849781513214111},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7364607453346252},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7165346741676331},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6215110421180725},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5818138718605042},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.527312695980072},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5166926383972168},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4517849385738373},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3659971356391907},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14681944251060486},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2968220.2968222","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2968220.2968222","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Symposium on Visual Information Communication and Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3428446352","display_name":null,"funder_award_id":"61422211, u1536118, u1536119","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1503419138","https://openalex.org/W1506285740","https://openalex.org/W1530138286","https://openalex.org/W1538285186","https://openalex.org/W1550313323","https://openalex.org/W1569488369","https://openalex.org/W1576967475","https://openalex.org/W1892399053","https://openalex.org/W1987108654","https://openalex.org/W1988471114","https://openalex.org/W1994224927","https://openalex.org/W2026562765","https://openalex.org/W2030969394","https://openalex.org/W2058190445","https://openalex.org/W2061763739","https://openalex.org/W2085638007","https://openalex.org/W2102297485","https://openalex.org/W2106404415","https://openalex.org/W2121787132","https://openalex.org/W2132140874","https://openalex.org/W2134056613","https://openalex.org/W2140190241","https://openalex.org/W2141405654","https://openalex.org/W2149472792","https://openalex.org/W2166559705","https://openalex.org/W2168846201","https://openalex.org/W4211111398","https://openalex.org/W4235375376","https://openalex.org/W6630132263","https://openalex.org/W6632147796","https://openalex.org/W6680704940"],"related_works":["https://openalex.org/W1647965853","https://openalex.org/W1969842215","https://openalex.org/W2900346986","https://openalex.org/W2357733143","https://openalex.org/W2013728941","https://openalex.org/W4225274103","https://openalex.org/W2579659702","https://openalex.org/W2154046714","https://openalex.org/W1965329638","https://openalex.org/W2189613078"],"abstract_inverted_index":{"Association":[0],"rules":[1,21,40,55,96],"have":[2],"been":[3],"widely":[4],"used":[5],"for":[6,32,59,91],"detecting":[7],"relations":[8],"between":[9],"attribute-value":[10],"pairs":[11],"of":[12,17,44,54,130,140,144,150,155],"categorical":[13],"datasets.":[14],"Existing":[15],"solutions":[16],"mining":[18,49,74,95,101],"interesting":[19],"association":[20,72,141],"are":[22],"based":[23],"on":[24],"the":[25,33,39,42,48,52,78,88,100,114,118,122,148],"support-confidence":[26],"theory.":[27],"However,":[28],"it":[29],"is":[30,97,103,110,158],"non-trivial":[31],"user":[34,89],"to":[35,69,112,134],"understand":[36],"and":[37,62,94,99,121,138,147],"modify":[38],"or":[41],"results":[43,149],"intermediate":[45,123,151],"steps":[46],"in":[47],"process,":[50],"because":[51],"interestingness":[53],"might":[56],"differ":[57],"largely":[58],"various":[60,161],"tasks":[61],"users.":[63],"In":[64],"this":[65],"paper":[66],"we":[67],"propose":[68],"reinforce":[70],"conventional":[71],"rule":[73],"process":[75,80],"by":[76],"mapping":[77],"entire":[79],"into":[81],"a":[82,128],"visualization":[83,108],"assisted":[84],"loop,":[85],"with":[86,160],"which":[87],"workload":[90],"modulating":[92],"parameters":[93],"reduced,":[98],"efficiency":[102],"greatly":[104],"improved.":[105],"A":[106],"matrix-based":[107],"technique":[109],"employed":[111],"encode":[113],"measure":[115],"computation":[116],"value,":[117],"data":[119],"distribution":[120],"results.":[124],"We":[125],"also":[126],"design":[127],"set":[129],"visual":[131],"exploration":[132],"tools":[133],"support":[135],"interactively":[136],"inspection":[137],"manipulation":[139],"measures,":[142],"constraints":[143],"different":[145],"types,":[146],"steps.":[152],"The":[153],"effectiveness":[154],"our":[156],"approach":[157],"demonstrated":[159],"scenarios.":[162]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}