{"id":"https://openalex.org/W2016016887","doi":"https://doi.org/10.1109/vast.2009.5332628","title":"Combining automated analysis and visualization techniques for effective exploration of high-dimensional data","display_name":"Combining automated analysis and visualization techniques for effective exploration of high-dimensional data","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2016016887","doi":"https://doi.org/10.1109/vast.2009.5332628","mag":"2016016887"},"language":"en","primary_location":{"id":"doi:10.1109/vast.2009.5332628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2009.5332628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Symposium on Visual Analytics Science and Technology","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/A5080987337","display_name":"Andrada Tatu","orcid":null},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Andrada Tatu","raw_affiliation_strings":["University of Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085294981","display_name":"Ge\u00f3rgia Albuquerque","orcid":"https://orcid.org/0000-0002-4510-3383"},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Georgia Albuquerque","raw_affiliation_strings":["TU Braunschweig, Germany"],"affiliations":[{"raw_affiliation_string":"TU Braunschweig, Germany","institution_ids":["https://openalex.org/I94509681"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011059989","display_name":"Martin Eisemann","orcid":"https://orcid.org/0000-0002-8673-4405"},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Eisemann","raw_affiliation_strings":["TU Braunschweig, Germany"],"affiliations":[{"raw_affiliation_string":"TU Braunschweig, Germany","institution_ids":["https://openalex.org/I94509681"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109232728","display_name":"J\u00f6rn Schneidewind","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099988","display_name":"Telefonica (Germany)","ror":"https://ror.org/00xfdbb04","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210097190","https://openalex.org/I4210099988"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jorn Schneidewind","raw_affiliation_strings":["Telefonica o2 Business Intelligence Center, Germany"],"affiliations":[{"raw_affiliation_string":"Telefonica o2 Business Intelligence Center, Germany","institution_ids":["https://openalex.org/I4210099988"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039626800","display_name":"Holger Theisel","orcid":"https://orcid.org/0000-0002-8009-7070"},"institutions":[{"id":"https://openalex.org/I4210138551","display_name":"University Hospital Magdeburg","ror":"https://ror.org/03m04df46","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210138551"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Holger Theisel","raw_affiliation_strings":["University of Magdeburg, Germany"],"affiliations":[{"raw_affiliation_string":"University of Magdeburg, Germany","institution_ids":["https://openalex.org/I4210138551"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000099153","display_name":"Marcus Magnor","orcid":"https://orcid.org/0000-0003-0579-480X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marcus Magnork","raw_affiliation_strings":["Technische Universitat Braunschweig, Braunschweig, Niedersachsen, DE"],"affiliations":[{"raw_affiliation_string":"Technische Universitat Braunschweig, Braunschweig, Niedersachsen, DE","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073919282","display_name":"Daniel A. Keim","orcid":"https://orcid.org/0000-0001-7966-9740"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel Keim","raw_affiliation_strings":["University of Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5080987337"],"corresponding_institution_ids":["https://openalex.org/I189712700"],"apc_list":null,"apc_paid":null,"fwci":10.1692,"has_fulltext":true,"cited_by_count":135,"citation_normalized_percentile":{"value":0.98516374,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"59","last_page":"66"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9848999977111816,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9801999926567078,"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":0.8578401207923889},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7757452130317688},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.6327195167541504},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5982770919799805},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5947970151901245},{"id":"https://openalex.org/keywords/interactive-visual-analysis","display_name":"Interactive visual analysis","score":0.5735153555870056},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5701153874397278},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5333347916603088},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5282118916511536},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.526370108127594},{"id":"https://openalex.org/keywords/data-exploration","display_name":"Data exploration","score":0.5060636401176453},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.47386765480041504},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.44443291425704956},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.44203755259513855},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.43924224376678467},{"id":"https://openalex.org/keywords/parallel-coordinates","display_name":"Parallel coordinates","score":0.4323652982711792},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3372127413749695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31701335310935974}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8578401207923889},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7757452130317688},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.6327195167541504},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5982770919799805},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5947970151901245},{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.5735153555870056},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5701153874397278},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5333347916603088},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5282118916511536},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.526370108127594},{"id":"https://openalex.org/C2780977526","wikidata":"https://www.wikidata.org/wiki/Q42417149","display_name":"Data exploration","level":3,"score":0.5060636401176453},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.47386765480041504},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.44443291425704956},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.44203755259513855},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.43924224376678467},{"id":"https://openalex.org/C60011546","wikidata":"https://www.wikidata.org/wiki/Q932996","display_name":"Parallel coordinates","level":4,"score":0.4323652982711792},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3372127413749695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31701335310935974},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1109/vast.2009.5332628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2009.5332628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Symposium on Visual Analytics Science and Technology","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.154.8121","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.154.8121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://wwwisg.cs.uni-magdeburg.de/cv/lehre/VisualAnalytics/material/VDM/Tatu_09_CAA.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.158.7559","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.158.7559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://graphics.tu-bs.de/publications/Tatu09VAST.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.211.5224","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.211.5224","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://graphics.tu-bs.de/people/eisemann/paper/Tatu09VAST.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.669.4020","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.669.4020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://bib.dbvis.de/uploadedFiles/26.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.918.6692","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.918.6692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://kops.uni-konstanz.de/bitstream/handle/123456789/5750/Tatu_2009_CombiningAutomated.pdf%3Bjsessionid%3D9EB98EABD214022FBEB37D7E49BB5FAC?sequence%3D1","raw_type":"text"},{"id":"pmh:oai:kops.uni-konstanz.de:123456789/5750","is_oa":false,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-88295","pdf_url":null,"source":{"id":"https://openalex.org/S4306401487","display_name":"KOPS (University of Konstanz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189712700","host_organization_name":"University of Konstanz","host_organization_lineage":["https://openalex.org/I189712700"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2009 IEEE Symposium on Visual Analytics Science and Technology. IEEE, 2009, pp. 59-66. ISBN 978-1-4244-5283-5. Available under: doi: 10.1109/VAST.2009.5332628","raw_type":"doc-type:Text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6052429835","display_name":null,"funder_award_id":"(DFG)","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W16274536","https://openalex.org/W307896644","https://openalex.org/W626292722","https://openalex.org/W1493815292","https://openalex.org/W1515529865","https://openalex.org/W1613201427","https://openalex.org/W1969483458","https://openalex.org/W1978841917","https://openalex.org/W1987531805","https://openalex.org/W2015562474","https://openalex.org/W2017018978","https://openalex.org/W2038818917","https://openalex.org/W2047046780","https://openalex.org/W2065281378","https://openalex.org/W2082612735","https://openalex.org/W2096080031","https://openalex.org/W2100534701","https://openalex.org/W2103525487","https://openalex.org/W2104241941","https://openalex.org/W2114005694","https://openalex.org/W2127218421","https://openalex.org/W2150593711","https://openalex.org/W2165544866","https://openalex.org/W2165874743","https://openalex.org/W2166279335","https://openalex.org/W2381228797","https://openalex.org/W4238957295","https://openalex.org/W4239908238","https://openalex.org/W4247110399","https://openalex.org/W4249972711","https://openalex.org/W6619920785","https://openalex.org/W6678914141","https://openalex.org/W6684578312","https://openalex.org/W6993175652"],"related_works":["https://openalex.org/W2951177137","https://openalex.org/W2116732611","https://openalex.org/W2519063155","https://openalex.org/W2507403587","https://openalex.org/W3001728174","https://openalex.org/W2796231212","https://openalex.org/W2939349690","https://openalex.org/W2406847374","https://openalex.org/W2484704575","https://openalex.org/W4385427581"],"abstract_inverted_index":{"Visual":[0],"exploration":[1,25,106],"of":[2,13,21,47,72,95],"multivariate":[3],"data":[4,87,105],"typically":[5],"requires":[6],"projection":[7],"onto":[8],"lower-dimensional":[9],"representations.":[10],"The":[11,64,127],"number":[12,20,71],"possible":[14],"representations":[15],"grows":[16],"rapidly":[17],"with":[18,59,68],"the":[19,53,93,104],"dimensions,":[22],"and":[23,100,123],"manual":[24],"quickly":[26],"becomes":[27],"ineffective":[28],"or":[29],"even":[30],"unfeasible.":[31],"This":[32,89],"paper":[33],"proposes":[34],"automatic":[35],"analysis":[36,129],"methods":[37,130],"to":[38],"extract":[39],"potentially":[40,73,101],"relevant":[41],"visual":[42],"structures":[43],"from":[44],"a":[45,60,69,82],"set":[46],"candidate":[48,75],"visualizations.":[49,126],"Based":[50],"on":[51,133],"features,":[52],"visualizations":[54,99],"are":[55,131],"ranked":[56],"in":[57],"accordance":[58],"specified":[61],"user":[62,65],"task.":[63,107],"is":[66],"provided":[67],"manageable":[70],"useful":[74,98],"visualizations,":[76],"which":[77],"can":[78,90],"be":[79],"used":[80],"as":[81,117,119],"starting":[83],"point":[84],"for":[85,115],"interactive":[86],"analysis.":[88],"effectively":[91],"ease":[92],"task":[94],"finding":[96],"truly":[97],"speed":[102],"up":[103],"In":[108],"this":[109],"paper,":[110],"we":[111],"present":[112],"ranking":[113],"measures":[114],"class-based":[116,121],"well":[118],"non":[120],"Scatterplots":[122],"Parallel":[124],"Coordinates":[125],"proposed":[128],"evaluated":[132],"different":[134],"datasets.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":16},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":13},{"year":2012,"cited_by_count":11}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
