{"id":"https://openalex.org/W2003016839","doi":"https://doi.org/10.1109/ldav.2012.6378980","title":"Meta parallel coordinates for visualizing features in large, high-dimensional, time-varying data","display_name":"Meta parallel coordinates for visualizing features in large, high-dimensional, time-varying data","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2003016839","doi":"https://doi.org/10.1109/ldav.2012.6378980","mag":"2003016839"},"language":"en","primary_location":{"id":"doi:10.1109/ldav.2012.6378980","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ldav.2012.6378980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Symposium on Large Data Analysis and Visualization (LDAV)","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/A5051193196","display_name":"Aritra Dasgupta","orcid":"https://orcid.org/0000-0002-5551-5103"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aritra Dasgupta","raw_affiliation_strings":["UNC-Charlotte, USA","UNC\u2010Charlotte"],"affiliations":[{"raw_affiliation_string":"UNC-Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"UNC\u2010Charlotte","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081622405","display_name":"Robert Kosara","orcid":"https://orcid.org/0000-0002-1178-4029"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Kosara","raw_affiliation_strings":["UNC-Charlotte, USA","UNC\u2010Charlotte"],"affiliations":[{"raw_affiliation_string":"UNC-Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"UNC\u2010Charlotte","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050326979","display_name":"Luke Gosink","orcid":null},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luke Gosink","raw_affiliation_strings":["Pacific Northwest National Laboratory, USA","Pacific Northwest Nat. Lab"],"affiliations":[{"raw_affiliation_string":"Pacific Northwest National Laboratory, USA","institution_ids":["https://openalex.org/I142606810"]},{"raw_affiliation_string":"Pacific Northwest Nat. Lab","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051193196"],"corresponding_institution_ids":["https://openalex.org/I102149020"],"apc_list":null,"apc_paid":null,"fwci":0.2745,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.55215955,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"85","last_page":"89"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998000264167786,"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":0.9998000264167786,"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9708999991416931,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9652000069618225,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/parallel-coordinates","display_name":"Parallel coordinates","score":0.773608922958374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7172417044639587},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4857528805732727},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.457133412361145},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.43725013732910156},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.34085726737976074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2574043273925781}],"concepts":[{"id":"https://openalex.org/C60011546","wikidata":"https://www.wikidata.org/wiki/Q932996","display_name":"Parallel coordinates","level":4,"score":0.773608922958374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7172417044639587},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4857528805732727},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.457133412361145},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.43725013732910156},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.34085726737976074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2574043273925781}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ldav.2012.6378980","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ldav.2012.6378980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Symposium on Large Data Analysis and Visualization (LDAV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320306250","display_name":"Battelle","ror":"https://ror.org/01h5tnr73"},{"id":"https://openalex.org/F4320337547","display_name":"Laboratory Directed Research and Development","ror":"https://ror.org/01e41cf67"},{"id":"https://openalex.org/F4320338292","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02"},{"id":"https://openalex.org/F4320338354","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1512287614","https://openalex.org/W1534408902","https://openalex.org/W1601859143","https://openalex.org/W1977050089","https://openalex.org/W2016016887","https://openalex.org/W2017032467","https://openalex.org/W2030246490","https://openalex.org/W2034426848","https://openalex.org/W2034694694","https://openalex.org/W2097216370","https://openalex.org/W2098072631","https://openalex.org/W2099111195","https://openalex.org/W2102495072","https://openalex.org/W2109727435","https://openalex.org/W2115129812","https://openalex.org/W2136435231","https://openalex.org/W2138199375","https://openalex.org/W2148694408","https://openalex.org/W2153312812","https://openalex.org/W2478708596","https://openalex.org/W4237375617","https://openalex.org/W4255692800","https://openalex.org/W6674788959"],"related_works":["https://openalex.org/W2905547976","https://openalex.org/W2071476217","https://openalex.org/W2944266875","https://openalex.org/W2013728941","https://openalex.org/W4225274103","https://openalex.org/W4232514171","https://openalex.org/W2154046714","https://openalex.org/W2093133953","https://openalex.org/W2147893003","https://openalex.org/W2108010457"],"abstract_inverted_index":{"Managing":[0],"computational":[1],"complexity":[2],"and":[3,64,109,174,178],"designing":[4],"effective":[5,24],"visual":[6,96,102],"representations":[7],"are":[8,22,124,131],"two":[9],"important":[10],"challenges":[11],"for":[12,26,60],"the":[13,42,70,75,101,112,120,145,182],"visualization":[14],"of":[15,41,74,119,140,171,184],"large,":[16],"complex,":[17],"high-dimensional":[18,28],"datasets.":[19,38],"Parallel":[20],"coordinates":[21,88,108],"an":[23],"technique":[25],"visualizing":[27],"data,":[29],"but":[30],"do":[31],"not":[32],"scale":[33],"well":[34],"to":[35,46,50,154,180],"very":[36],"large":[37],"The":[39],"addition":[40],"temporal":[43],"dimension":[44],"leads":[45],"more":[47,133],"uncertainty":[48],"due":[49],"clutter":[51],"on":[52],"screen.":[53],"Consequently,":[54],"this":[55],"poses":[56],"a":[57,86,150],"significant":[58],"challenge":[59],"visually":[61],"finding":[62],"trends":[63],"patterns":[65],"that":[66,90,149],"maximize":[67],"insight":[68],"about":[69],"underlying":[71],"time-varying":[72,157],"properties":[73],"data.":[76,121,159],"To":[77],"address":[78],"these":[79],"problems,":[80],"we":[81,162],"present":[82],"meta":[83],"parallel":[84,87,107],"coordinates,":[85],"display":[89],"is":[91,142],"guided":[92],"by":[93,115,144],"perceptually":[94],"motivated":[95],"metrics.":[97,137],"These":[98],"metrics":[99,130,141],"describe":[100],"structures":[103],"typically":[104,152],"found":[105],"in":[106,126],"thus":[110],"aid":[111],"user's":[113],"analysis":[114],"providing":[116],"meaningful":[117],"views":[118],"Since":[122],"they":[123],"computed":[125],"screen":[127],"space,":[128],"our":[129,185],"computationally":[132],"efficient":[134],"than":[135],"data-based":[136],"Our":[138],"choice":[139],"driven":[143],"different":[146],"analytical":[147],"tasks":[148],"user":[151],"wants":[153],"perform":[155],"with":[156,165],"multivariate":[158],"In":[160],"particular,":[161],"have":[163],"worked":[164],"domain":[166],"scientists":[167],"who":[168],"performed":[169],"simulations":[170],"bioremediation":[172],"experiments,":[173],"use":[175],"their":[176],"data":[177],"results":[179],"demonstrate":[181],"usefulness":[183],"approach.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
