{"id":"https://openalex.org/W2512453320","doi":"https://doi.org/10.1145/2968220.2968248","title":"Deep Exploration of Multidimensional Data with Linkable Scatterplots","display_name":"Deep Exploration of Multidimensional Data with Linkable Scatterplots","publication_year":2016,"publication_date":"2016-08-31","ids":{"openalex":"https://openalex.org/W2512453320","doi":"https://doi.org/10.1145/2968220.2968248","mag":"2512453320"},"language":"en","primary_location":{"id":"doi:10.1145/2968220.2968248","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2968220.2968248","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/A5052630735","display_name":"Quang Vinh Nguy\u1ec5n","orcid":"https://orcid.org/0000-0002-0815-6224"},"institutions":[{"id":"https://openalex.org/I63525965","display_name":"Western Sydney University","ror":"https://ror.org/03t52dk35","country_code":"AU","type":"education","lineage":["https://openalex.org/I63525965"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Quang Vinh Nguyen","raw_affiliation_strings":["MARCS Institute and School of Computing, Engineering and Mathematics, Western Sydney University, Australia"],"affiliations":[{"raw_affiliation_string":"MARCS Institute and School of Computing, Engineering and Mathematics, Western Sydney University, Australia","institution_ids":["https://openalex.org/I63525965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048705023","display_name":"Simeon Simoff","orcid":"https://orcid.org/0000-0001-9895-4109"},"institutions":[{"id":"https://openalex.org/I63525965","display_name":"Western Sydney University","ror":"https://ror.org/03t52dk35","country_code":"AU","type":"education","lineage":["https://openalex.org/I63525965"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Simeon Simoff","raw_affiliation_strings":["MARCS Institute and School of Computing, Engineering and Mathematics, Western Sydney University, Australia"],"affiliations":[{"raw_affiliation_string":"MARCS Institute and School of Computing, Engineering and Mathematics, Western Sydney University, Australia","institution_ids":["https://openalex.org/I63525965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055944639","display_name":"Qian Yu","orcid":"https://orcid.org/0000-0002-6224-5607"},"institutions":[{"id":"https://openalex.org/I1301553790","display_name":"J. Craig Venter Institute","ror":"https://ror.org/049r1ts75","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1301553790"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Qian","raw_affiliation_strings":["J. Craig Venter Institute, USA"],"affiliations":[{"raw_affiliation_string":"J. Craig Venter Institute, USA","institution_ids":["https://openalex.org/I1301553790"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077824437","display_name":"Mao Lin Huang","orcid":"https://orcid.org/0000-0002-6896-6480"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mao Lin Huang","raw_affiliation_strings":["University of Technology, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052630735"],"corresponding_institution_ids":["https://openalex.org/I63525965"],"apc_list":null,"apc_paid":null,"fwci":0.3378,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.66486023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"43","last_page":"50"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9997000098228455,"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/T13398","display_name":"Data Analysis with R","score":0.9664999842643738,"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"}},{"id":"https://openalex.org/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.9664000272750854,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8200639486312866},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7365281581878662},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.7287033796310425},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.6185007691383362},{"id":"https://openalex.org/keywords/clarity","display_name":"CLARITY","score":0.5952110886573792},{"id":"https://openalex.org/keywords/plot","display_name":"Plot (graphics)","score":0.5661182999610901},{"id":"https://openalex.org/keywords/scatter-plot","display_name":"Scatter plot","score":0.545771598815918},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5024123191833496},{"id":"https://openalex.org/keywords/parallel-coordinates","display_name":"Parallel coordinates","score":0.4899715483188629},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4896126389503479},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.45264768600463867},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4422542154788971},{"id":"https://openalex.org/keywords/multidimensional-data","display_name":"Multidimensional data","score":0.43177440762519836},{"id":"https://openalex.org/keywords/interactive-visual-analysis","display_name":"Interactive visual analysis","score":0.42752742767333984},{"id":"https://openalex.org/keywords/information-visualization","display_name":"Information visualization","score":0.41811883449554443},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4138081669807434},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27472272515296936},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10551798343658447},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09362676739692688}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8200639486312866},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7365281581878662},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.7287033796310425},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.6185007691383362},{"id":"https://openalex.org/C2777146004","wikidata":"https://www.wikidata.org/wiki/Q14949826","display_name":"CLARITY","level":2,"score":0.5952110886573792},{"id":"https://openalex.org/C167651023","wikidata":"https://www.wikidata.org/wiki/Q1474611","display_name":"Plot (graphics)","level":2,"score":0.5661182999610901},{"id":"https://openalex.org/C31462909","wikidata":"https://www.wikidata.org/wiki/Q1045782","display_name":"Scatter plot","level":2,"score":0.545771598815918},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5024123191833496},{"id":"https://openalex.org/C60011546","wikidata":"https://www.wikidata.org/wiki/Q932996","display_name":"Parallel coordinates","level":4,"score":0.4899715483188629},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4896126389503479},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.45264768600463867},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4422542154788971},{"id":"https://openalex.org/C3019022308","wikidata":"https://www.wikidata.org/wiki/Q1418353","display_name":"Multidimensional data","level":2,"score":0.43177440762519836},{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.42752742767333984},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.41811883449554443},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4138081669807434},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27472272515296936},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10551798343658447},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09362676739692688},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2968220.2968248","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2968220.2968248","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"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/52380","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/52380","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W594311536","https://openalex.org/W1506965148","https://openalex.org/W1823329909","https://openalex.org/W1968942346","https://openalex.org/W2009307530","https://openalex.org/W2015755066","https://openalex.org/W2020323341","https://openalex.org/W2028941259","https://openalex.org/W2029143245","https://openalex.org/W2031281270","https://openalex.org/W2032516371","https://openalex.org/W2038718711","https://openalex.org/W2046079134","https://openalex.org/W2047046780","https://openalex.org/W2052238947","https://openalex.org/W2052255548","https://openalex.org/W2058180314","https://openalex.org/W2064751934","https://openalex.org/W2077275352","https://openalex.org/W2082695959","https://openalex.org/W2084356509","https://openalex.org/W2087900537","https://openalex.org/W2103338386","https://openalex.org/W2110080554","https://openalex.org/W2112179747","https://openalex.org/W2115977463","https://openalex.org/W2118024521","https://openalex.org/W2118411523","https://openalex.org/W2122289140","https://openalex.org/W2122993881","https://openalex.org/W2133934472","https://openalex.org/W2140950617","https://openalex.org/W2147512934","https://openalex.org/W2155675108","https://openalex.org/W2160570181","https://openalex.org/W2266495065","https://openalex.org/W2291534001","https://openalex.org/W2294034237","https://openalex.org/W2294798173","https://openalex.org/W2311937240","https://openalex.org/W6638536343","https://openalex.org/W6696856454"],"related_works":["https://openalex.org/W3001728174","https://openalex.org/W2116732611","https://openalex.org/W2519063155","https://openalex.org/W2075387075","https://openalex.org/W2061132865","https://openalex.org/W2951177137","https://openalex.org/W72601455","https://openalex.org/W2016021841","https://openalex.org/W2739521023","https://openalex.org/W2939349690"],"abstract_inverted_index":{"Clarity,":[0],"simplicity":[1],"and":[2,26,90,110],"visual":[3,20,46,104],"adjustability":[4],"to":[5],"the":[6,9,15,58,61,75,81,114],"preference":[7],"of":[8,14,48,60,78,80,116],"analyst":[10],"are":[11,29,87],"key":[12],"aspects":[13],"visualization":[16],"techniques":[17],"required":[18],"by":[19,64],"analytics":[21],"in":[22],"broad":[23],"sense.":[24],"Scatterplots":[25],"scatterplot":[27,63,82,119],"matrices":[28],"commonly":[30],"used":[31],"for":[32,44,69],"visually":[33],"analyzing":[34],"multidimensional":[35],"multivariate":[36],"data.":[37],"This":[38],"paper":[39],"presents":[40],"a":[41],"new":[42],"approach":[43],"deep":[45],"exploration":[47],"large":[49],"multi-attribute":[50],"data":[51,123],"using":[52],"linkable":[53,118],"scatterplots.":[54],"Proposed":[55],"method":[56,120],"overcomes":[57],"limitations":[59],"single":[62],"providing":[65],"more":[66],"plot":[67],"panels":[68,79,86],"better":[70],"comparison":[71],"while":[72],"it":[73],"reduces":[74],"unnecessary":[76],"number":[77],"matrix":[83],"method.":[84],"The":[85],"fully":[88],"interactive":[89],"linking":[91],"together":[92],"where":[93],"variables":[94],"can":[95],"be":[96],"mapped":[97],"on":[98,102,121],"axes":[99],"independently":[100],"or":[101],"common":[103],"attributes":[105],"such":[106],"as":[107],"color,":[108],"size":[109],"shape.":[111],"We":[112],"illustrate":[113],"effectiveness":[115],"proposed":[117],"various":[122],"sets.":[124]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}