{"id":"https://openalex.org/W3045334822","doi":"https://doi.org/10.1145/3311790.3404538","title":"RadarViewer\u00a0: Visualizing the dynamics of multivariate data","display_name":"RadarViewer\u00a0: Visualizing the dynamics of multivariate data","publication_year":2020,"publication_date":"2020-07-22","ids":{"openalex":"https://openalex.org/W3045334822","doi":"https://doi.org/10.1145/3311790.3404538","mag":"3045334822"},"language":"en","primary_location":{"id":"doi:10.1145/3311790.3404538","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3311790.3404538","pdf_url":null,"source":{"id":"https://openalex.org/S4306523034","display_name":"Practice and Experience in Advanced Research Computing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Practice and Experience in Advanced Research 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/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 Nguyen","raw_affiliation_strings":["Texas Tech University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas Tech University, USA","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"middle","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., USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dell Inc., USA","institution_ids":["https://openalex.org/I4210149435"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077521546","display_name":"Yong Chen","orcid":"https://orcid.org/0000-0002-9961-9051"},"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":"Yong Chen","raw_affiliation_strings":["Texas Tech University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas Tech University, USA","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428256","display_name":"Jie Li","orcid":"https://orcid.org/0000-0002-5311-3012"},"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":"Jie Li","raw_affiliation_strings":["Texas Tech University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas Tech University, USA","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073805319","display_name":"A. Sill","orcid":"https://orcid.org/0000-0003-2527-764X"},"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":"Alan Sill","raw_affiliation_strings":["Texas Tech University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas Tech University, USA","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"last","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, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas Tech University, USA","institution_ids":["https://openalex.org/I12315562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4895,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.65886149,"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":"555","last_page":"556"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9742000102996826,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9641000032424927,"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":0.819909393787384},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7445493340492249},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5735258460044861},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.570348858833313},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.496451199054718},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43989020586013794},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.41716134548187256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31648728251457214},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22495737671852112},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0987280011177063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08901193737983704}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.819909393787384},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7445493340492249},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5735258460044861},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.570348858833313},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.496451199054718},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43989020586013794},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.41716134548187256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31648728251457214},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22495737671852112},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0987280011177063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08901193737983704},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3311790.3404538","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3311790.3404538","pdf_url":null,"source":{"id":"https://openalex.org/S4306523034","display_name":"Practice and Experience in Advanced Research Computing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Practice and Experience in Advanced Research 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":6,"referenced_works":["https://openalex.org/W1988711344","https://openalex.org/W2122060742","https://openalex.org/W2142349824","https://openalex.org/W2142865875","https://openalex.org/W2313094819","https://openalex.org/W2913066018"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W2002177687","https://openalex.org/W3009369890","https://openalex.org/W4312490297"],"abstract_inverted_index":{"This":[0],"showcase":[1],"presents":[2],"a":[3,13],"visual":[4],"approach":[5],"based":[6],"on":[7],"clustering":[8],"and":[9,26],"superimposing":[10],"to":[11,44,56],"construct":[12],"high-level":[14],"overview":[15],"of":[16,24,71],"sequential":[17],"event":[18],"data":[19],"while":[20],"balancing":[21],"the":[22,27,58],"amount":[23],"information":[25],"cardinality":[28],"in":[29],"it.":[30],"We":[31],"also":[32],"implement":[33],"an":[34],"interactive":[35],"prototype,":[36],"called":[37],"RadarViewer":[38,61],",":[39],"that":[40],"allows":[41],"domain":[42],"analysts":[43],"simultaneously":[45],"analyze":[46],"sequence":[47],"clustering,":[48],"extract":[49],"useful":[50],"distribution":[51],"patterns,":[52],"drill":[53],"multiple":[54],"levels-of-detail":[55],"accelerate":[57],"analysis.":[59],"The":[60],"is":[62],"demonstrated":[63],"through":[64],"case":[65],"studies":[66],"with":[67],"real-world":[68],"temporal":[69],"datasets":[70],"different":[72],"sizes.":[73]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
