{"id":"https://openalex.org/W2087856434","doi":"https://doi.org/10.1109/ldav.2011.6092328","title":"Scalable multivariate volume visualization and analysis","display_name":"Scalable multivariate volume visualization and analysis","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W2087856434","doi":"https://doi.org/10.1109/ldav.2011.6092328","mag":"2087856434"},"language":"en","primary_location":{"id":"doi:10.1109/ldav.2011.6092328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ldav.2011.6092328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Symposium on Large Data Analysis and Visualization","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/A5054749881","display_name":"Hanqi Guo","orcid":"https://orcid.org/0000-0001-7776-1834"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hanqi Guo","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education), and School of EECS, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), and School of EECS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108478426","display_name":"He Xiao","orcid":"https://orcid.org/0009-0001-3814-5235"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Xiao","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education), and School of EECS, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), and School of EECS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010444353","display_name":"Min L\u00fc","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Lu","raw_affiliation_strings":["Peking University, Beijing, Beijing, CN"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038943746","display_name":"Xiaoru Yuan","orcid":"https://orcid.org/0000-0002-7233-980X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoru Yuan","raw_affiliation_strings":["Peking University, Beijing, Beijing, CN"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054749881"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.5151,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.69249405,"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":"119","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9987999796867371,"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":0.9987999796867371,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.9869999885559082,"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":0.8245363235473633},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7542648911476135},{"id":"https://openalex.org/keywords/parallel-coordinates","display_name":"Parallel coordinates","score":0.7127832770347595},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6826555728912354},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.6737159490585327},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6717570424079895},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5990868806838989},{"id":"https://openalex.org/keywords/volume-rendering","display_name":"Volume rendering","score":0.572855532169342},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5646595358848572},{"id":"https://openalex.org/keywords/parallel-rendering","display_name":"Parallel rendering","score":0.555517852306366},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.47631487250328064},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4276016652584076},{"id":"https://openalex.org/keywords/random-variate","display_name":"Random variate","score":0.42129766941070557},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4165574312210083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24188286066055298},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.18422859907150269},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13295534253120422},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10402214527130127},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09804096817970276},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08483433723449707}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8245363235473633},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7542648911476135},{"id":"https://openalex.org/C60011546","wikidata":"https://www.wikidata.org/wiki/Q932996","display_name":"Parallel coordinates","level":4,"score":0.7127832770347595},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6826555728912354},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.6737159490585327},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6717570424079895},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5990868806838989},{"id":"https://openalex.org/C30769735","wikidata":"https://www.wikidata.org/wiki/Q2165951","display_name":"Volume rendering","level":3,"score":0.572855532169342},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5646595358848572},{"id":"https://openalex.org/C186772499","wikidata":"https://www.wikidata.org/wiki/Q7135017","display_name":"Parallel rendering","level":3,"score":0.555517852306366},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.47631487250328064},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4276016652584076},{"id":"https://openalex.org/C141547133","wikidata":"https://www.wikidata.org/wiki/Q7291996","display_name":"Random variate","level":3,"score":0.42129766941070557},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4165574312210083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24188286066055298},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.18422859907150269},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13295534253120422},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10402214527130127},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09804096817970276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08483433723449707},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ldav.2011.6092328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ldav.2011.6092328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Symposium on Large Data Analysis and Visualization","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1564330171","https://openalex.org/W2097089704","https://openalex.org/W2114611229","https://openalex.org/W2147756977"],"related_works":["https://openalex.org/W944693892","https://openalex.org/W1985779255","https://openalex.org/W193192398","https://openalex.org/W2136979830","https://openalex.org/W2414710280","https://openalex.org/W2152767765","https://openalex.org/W2770767919","https://openalex.org/W2070275453","https://openalex.org/W2059973664","https://openalex.org/W2087856434"],"abstract_inverted_index":{"In":[0,37],"this":[1],"work,":[2],"we":[3,103],"present":[4],"an":[5],"effective":[6,135],"and":[7,15,32,49,86,101,141,152],"scalable":[8,145],"system":[9,133],"for":[10,146],"multivariate":[11,97,137],"volume":[12,98,126,138],"data":[13,44,70,99,139,147],"visualization":[14,100,140],"analysis":[16],"with":[17,149],"a":[18],"novel":[19],"Transfer":[20],"Function":[21],"(TF)":[22],"interface":[23,78],"design":[24],"that":[25,131],"tightly":[26],"couples":[27],"parallel":[28,107,122],"coordinates":[29],"plots":[30,52],"(PCP)":[31],"MDS-based":[33],"dimension":[34],"projection":[35],"plots.":[36],"our":[38],"system,":[39],"the":[40,43,50,73,111,115,132],"PCP":[41],"visualizes":[42],"distribution":[45],"of":[46,113,117,124,154],"each":[47],"variate":[48],"MDS":[51],"project":[53],"features.":[54],"Together,":[55],"they":[56],"are":[57],"integrated":[58,106],"seamlessly":[59],"to":[60,81,109],"provide":[61],"flexible":[62],"feature":[63],"classification":[64],"without":[65],"context":[66],"switching":[67],"between":[68],"different":[69,150],"presentations":[71],"during":[72],"user":[74],"interaction.":[75],"The":[76],"proposed":[77],"enables":[79],"users":[80],"identify":[82],"relevant":[83],"correlation":[84],"clusters":[85],"assign":[87],"optical":[88],"properties":[89],"on":[90],"them.":[91],"To":[92],"further":[93],"support":[94],"large":[95],"scale":[96],"analysis,":[102],"develop":[104],"three":[105],"systems":[108],"accelerate":[110],"rendering":[112,123],"PCP,":[114],"layout":[116],"MDS,":[118],"as":[119,121],"well":[120],"multivarite":[125],"data.":[127],"Our":[128],"experiments":[129],"show":[130],"is":[134,144],"in":[136],"its":[142],"performance":[143],"sets":[148],"sizes":[151],"number":[153],"variates.":[155]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}