{"id":"https://openalex.org/W2395274837","doi":"https://doi.org/10.5220/0005313400510062","title":"A User-centric Taxonomy for Multidimensional Data Projection Tasks","display_name":"A User-centric Taxonomy for Multidimensional Data Projection Tasks","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2395274837","doi":"https://doi.org/10.5220/0005313400510062","mag":"2395274837"},"language":"en","primary_location":{"id":"doi:10.5220/0005313400510062","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005313400510062","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Information Visualization Theory and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0005313400510062","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011856599","display_name":"Ronak Etemadpour","orcid":"https://orcid.org/0000-0003-1842-367X"},"institutions":[{"id":"https://openalex.org/I4210131712","display_name":"Oklahoma State University Oklahoma City","ror":"https://ror.org/03y1zyv86","country_code":"US","type":"education","lineage":["https://openalex.org/I4210131712"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ronak Etemadpour","raw_affiliation_strings":["Oklahoma State University, United States"],"affiliations":[{"raw_affiliation_string":"Oklahoma State University, United States","institution_ids":["https://openalex.org/I4210131712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027852213","display_name":"Lars Linsen","orcid":"https://orcid.org/0000-0002-6168-8748"},"institutions":[{"id":"https://openalex.org/I193619901","display_name":"Constructor University","ror":"https://ror.org/02yrs2n53","country_code":"DE","type":"education","lineage":["https://openalex.org/I193619901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lars Linsen","raw_affiliation_strings":["Jacobs Bremen University, Germany"],"affiliations":[{"raw_affiliation_string":"Jacobs Bremen University, Germany","institution_ids":["https://openalex.org/I193619901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014357711","display_name":"Christopher Crick","orcid":"https://orcid.org/0000-0002-1635-823X"},"institutions":[{"id":"https://openalex.org/I4210131712","display_name":"Oklahoma State University Oklahoma City","ror":"https://ror.org/03y1zyv86","country_code":"US","type":"education","lineage":["https://openalex.org/I4210131712"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Crick","raw_affiliation_strings":["Oklahoma State University, United States"],"affiliations":[{"raw_affiliation_string":"Oklahoma State University, United States","institution_ids":["https://openalex.org/I4210131712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075722001","display_name":"Angus G. Forbes","orcid":"https://orcid.org/0000-0002-8700-7795"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Angus Forbes","raw_affiliation_strings":["University of Illinois at Chicago, Germany"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Germany","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011856599"],"corresponding_institution_ids":["https://openalex.org/I4210131712"],"apc_list":null,"apc_paid":null,"fwci":1.1046,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.85471173,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"51","last_page":"62"},"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/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.9839000105857849,"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/T13398","display_name":"Data Analysis with R","score":0.954800009727478,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8116635084152222},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6846559643745422},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.6777011156082153},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.6240445375442505},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6216526031494141},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5455521941184998},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5146359205245972},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4656798243522644},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.46122652292251587},{"id":"https://openalex.org/keywords/data-type","display_name":"Data type","score":0.4169466495513916},{"id":"https://openalex.org/keywords/interactive-visual-analysis","display_name":"Interactive visual analysis","score":0.4155215322971344},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.41032078862190247},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4040604829788208},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34228914976119995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31466370820999146}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8116635084152222},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6846559643745422},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.6777011156082153},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.6240445375442505},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6216526031494141},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5455521941184998},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5146359205245972},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4656798243522644},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.46122652292251587},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.4169466495513916},{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.4155215322971344},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.41032078862190247},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4040604829788208},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34228914976119995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31466370820999146},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0005313400510062","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005313400510062","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Information Visualization Theory and Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0005313400510062","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005313400510062","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Information Visualization Theory and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W42106223","https://openalex.org/W118516080","https://openalex.org/W1497953515","https://openalex.org/W1512287614","https://openalex.org/W1565377632","https://openalex.org/W1635739165","https://openalex.org/W1654829360","https://openalex.org/W1864522878","https://openalex.org/W1964874934","https://openalex.org/W1981325128","https://openalex.org/W1984512236","https://openalex.org/W2003511471","https://openalex.org/W2016016887","https://openalex.org/W2017767972","https://openalex.org/W2047752105","https://openalex.org/W2051767208","https://openalex.org/W2057753721","https://openalex.org/W2060565253","https://openalex.org/W2061645666","https://openalex.org/W2067988826","https://openalex.org/W2073800769","https://openalex.org/W2076478366","https://openalex.org/W2095607236","https://openalex.org/W2099837874","https://openalex.org/W2101474491","https://openalex.org/W2102323492","https://openalex.org/W2112179747","https://openalex.org/W2113637789","https://openalex.org/W2117355841","https://openalex.org/W2118527389","https://openalex.org/W2119452648","https://openalex.org/W2123582261","https://openalex.org/W2128021408","https://openalex.org/W2128712108","https://openalex.org/W2131605659","https://openalex.org/W2137215532","https://openalex.org/W2152621157","https://openalex.org/W2156043567","https://openalex.org/W2163925089","https://openalex.org/W2163965546","https://openalex.org/W2170492055","https://openalex.org/W3022981850","https://openalex.org/W3099839986"],"related_works":["https://openalex.org/W3149127250","https://openalex.org/W2158984754","https://openalex.org/W2143428259","https://openalex.org/W4246764483","https://openalex.org/W2116732611","https://openalex.org/W2126824079","https://openalex.org/W2080934634","https://openalex.org/W2564956852","https://openalex.org/W2597787696","https://openalex.org/W4392522134"],"abstract_inverted_index":{"When":[0],"investigating":[1],"multidimensional":[2,52,102,184,250,326],"data":[3,31,41,53,65,96,103,125,129,166,185,204,278,327],"sets":[4,130,205,279],"with":[5,202],"very":[6,13],"large":[7,14],"numbers":[8],"of":[9,16,20,45,95,116,127,152,158,165,183,218,227,238,247,257,262,274],"objects":[10],"and/or":[11,121],"a":[12,18,70,93,195,219,291],"number":[15],"dimensions,":[17],"variety":[19],"visualization":[21,198,220,304,315,320],"methods":[22,321],"can":[23,88,176,191],"be":[24,90,177,192],"employed":[25],"in":[26,109,269],"order":[27,110],"to":[28,34,38,58,111,179,212,254,276,296,301,317],"represent":[29,277],"the":[30,36,40,113,156,181,216,260,263],"effectively":[32,280],"and":[33,259,300],"enable":[35],"user":[37],"explore":[39,268],"at":[42],"different":[43],"levels":[44],"detail.":[46],"A":[47,150],"common":[48],"strategy":[49],"for":[50,54,92,101,197,281,293,324],"encoding":[51],"visual":[55,239],"analysis":[56,97,126,167],"is":[57,155],"use":[59],"dimensionality":[60,207],"reduction":[61],"techniques":[62,80],"that":[63,81,171,310],"project":[64],"from":[66,234],"higher":[67],"dimensions":[68],"onto":[69],"lower-dimensional":[71],"space.":[72],"In":[73,252],"this":[74,153,172,189,311],"paper,":[75],"we":[76,266,308],"focus":[77,105],"on":[78,107,303],"projection":[79,186,328],"output":[82],"2D":[83],"or":[84,118],"3D":[85],"scatterplots":[86],"which":[87,248,319],"then":[89],"used":[91,178,193],"range":[94,226],"tasks.":[98,168,229,283,329],"Existing":[99],"taxonomies":[100],"projections":[104],"primarily":[106],"tasks":[108,134,231,258,299],"evaluate":[112,215],"human":[114],"perception":[115],"class":[117],"cluster":[119,136,140,144],"separation":[120],"preservation.":[122],"However,":[123],"real-world":[124,243],"complex":[128,203],"often":[131],"includes":[132],"other":[133],"besides":[135],"separation,":[137],"such":[138],"as:":[139],"identification,":[141],"similarity":[142],"seeking,":[143],"ranking,":[145],"comparisons,":[146],"counting":[147],"objects,":[148],"etc.":[149],"contribution":[151],"paper":[154],"identification":[157],"subtasks":[159],"grouped":[160],"into":[161],"four":[162],"main":[163],"categories":[164],"We":[169],"believe":[170,309],"user-centric":[173],"task":[174,264],"categorization":[175],"guide":[180],"organization":[182],"layouts.":[187],"Moreover,":[188],"taxonomy":[190,210,312],"as":[194],"guideline":[196],"designers":[199,214,316],"when":[200],"faced":[201],"requiring":[206],"reduction.":[208],"Our":[209],"aims":[211],"help":[213,314],"effectiveness":[217],"system":[221],"by":[222],"providing":[223],"an":[224,235],"expanded":[225],"relevant":[228],"These":[230,284],"are":[232,322],"gathered":[233],"extensive":[236],"study":[237],"analytics":[240],"projects":[241],"across":[242],"application":[244],"domains,":[245],"all":[246],"involve":[249],"projection.":[251],"addition":[253],"our":[255],"survey":[256],"creation":[261],"taxonomy,":[265],"also":[267],"more":[270],"detail":[271],"specific":[272,325],"examples":[273],"how":[275,294],"particular":[282],"case":[285],"studies,":[286],"while":[287],"not":[288],"exhaustive,":[289],"provide":[290],"framework":[292],"specifically":[295],"reason":[297],"about":[298],"decide":[302],"methods.":[305],"That":[306],"is,":[307],"will":[313],"determine":[318],"appropriate":[323]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
