{"id":"https://openalex.org/W3109210707","doi":"https://doi.org/10.1145/3430036.3430072","title":"ScagnosticsViewer","display_name":"ScagnosticsViewer","publication_year":2020,"publication_date":"2020-12-02","ids":{"openalex":"https://openalex.org/W3109210707","doi":"https://doi.org/10.1145/3430036.3430072","mag":"3109210707"},"language":"en","primary_location":{"id":"doi:10.1145/3430036.3430072","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3430036.3430072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th 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/A5034489450","display_name":"Ngan Nguyen","orcid":"https://orcid.org/0000-0001-5039-8019"},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ngan V. T. Nguyen","raw_affiliation_strings":["Texas Tech University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas Tech University","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103431981","display_name":"Bao D. Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bao D. Q. Nguyen","raw_affiliation_strings":["Texas Tech University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas Tech University","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032280607","display_name":"Tommy Dang","orcid":"https://orcid.org/0000-0001-8322-0014"},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tommy Dang","raw_affiliation_strings":["Texas Tech University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas Tech University","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028792770","display_name":"Jon Hass","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149435","display_name":"DELL (United States)","ror":"https://ror.org/05rejmm18","country_code":"US","type":"company","lineage":["https://openalex.org/I4210149435"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jon Hass","raw_affiliation_strings":["Dell, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dell, Inc","institution_ids":["https://openalex.org/I4210149435"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0979,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42804898,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9995999932289124,"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":0.9995999932289124,"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/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.9794999957084656,"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"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9659000039100647,"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/computer-science","display_name":"Computer science","score":0.7925893664360046},{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.7229705452919006},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.6405330896377563},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5037476420402527},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.49797773361206055},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4323440194129944},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.43106746673583984},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4310629963874817},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2775232791900635},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1111084520816803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7925893664360046},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.7229705452919006},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.6405330896377563},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5037476420402527},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.49797773361206055},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4323440194129944},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.43106746673583984},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4310629963874817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2775232791900635},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1111084520816803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3430036.3430072","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3430036.3430072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Symposium on Visual Information Communication and Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2097181344","https://openalex.org/W2099877680","https://openalex.org/W2105200106","https://openalex.org/W2135415614","https://openalex.org/W2136435231","https://openalex.org/W4210982509","https://openalex.org/W4235375376","https://openalex.org/W4239908238"],"related_works":["https://openalex.org/W2158984754","https://openalex.org/W3149127250","https://openalex.org/W2080934634","https://openalex.org/W4246764483","https://openalex.org/W2126824079","https://openalex.org/W2143428259","https://openalex.org/W2112083262","https://openalex.org/W4378086562","https://openalex.org/W2013467770","https://openalex.org/W4389880955"],"abstract_inverted_index":{"Visual":[0],"analytics":[1],"studies":[2],"the":[3,10,55,63,82,93,97,100,114],"integration":[4],"of":[5,42,54,99,116],"human":[6],"perceptional":[7],"ability":[8],"and":[9,22,29,91],"data":[11,25,43,61,67,84,101,105],"exploration":[12],"process.":[13],"Besides,":[14],"high":[15,64],"dimensional":[16,65],"time":[17],"series":[18],"has":[19],"become":[20],"more":[21,23],"popular":[24],"in":[26,107],"daily":[27],"applications":[28],"various":[30,77],"domains.":[31],"It":[32],"is":[33,47],"essential":[34],"to":[35,62,80,95,112],"study":[36],"visual":[37,78],"techniques":[38,79],"for":[39,59],"this":[40,117],"type":[41],"set.":[44],"This":[45],"paper":[46],"an":[48],"applied":[49],"work":[50],"that":[51,75],"extends":[52],"successes":[53],"scatterplot":[56],"matrix":[57],"(SPLOM)":[58],"cross-sectional":[60],"temporal":[66,83],"sets.":[68,102],"We":[69],"have":[70],"built":[71],"a":[72],"web-based":[73],"application":[74],"contains":[76],"display":[81],"sets":[85,106],"by":[86],"SPLOM":[87,94],"at":[88],"each":[89],"snapshot":[90],"animate":[92],"illustrate":[96],"evolution":[98],"Two":[103],"real":[104],"different":[108],"domains":[109],"are":[110],"utilized":[111],"demonstrate":[113],"advances":[115],"approach.":[118]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2020-12-07T00:00:00"}