{"id":"https://openalex.org/W2080399712","doi":"https://doi.org/10.1145/2362456.2362487","title":"Interactive visual analysis of families of curves using data aggregation and derivation","display_name":"Interactive visual analysis of families of curves using data aggregation and derivation","publication_year":2012,"publication_date":"2012-09-05","ids":{"openalex":"https://openalex.org/W2080399712","doi":"https://doi.org/10.1145/2362456.2362487","mag":"2080399712"},"language":"en","primary_location":{"id":"doi:10.1145/2362456.2362487","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2362456.2362487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies","raw_type":"proceedings-article"},"type":"conference-paper","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/A5034785989","display_name":"Z. Konyha","orcid":null},"institutions":[{"id":"https://openalex.org/I1343190059","display_name":"VRVis GmbH (Austria)","ror":"https://ror.org/02xyxvc90","country_code":"AT","type":"company","lineage":["https://openalex.org/I1343190059"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Zolt\u00e1n Konyha","raw_affiliation_strings":["VRVis Research Center, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VRVis Research Center, Vienna, Austria","institution_ids":["https://openalex.org/I1343190059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103514631","display_name":"Alan Le\u017e","orcid":null},"institutions":[{"id":"https://openalex.org/I1343190059","display_name":"VRVis GmbH (Austria)","ror":"https://ror.org/02xyxvc90","country_code":"AT","type":"company","lineage":["https://openalex.org/I1343190059"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Alan Le\u017e","raw_affiliation_strings":["VRVis Research Center, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VRVis Research Center, Vienna, Austria","institution_ids":["https://openalex.org/I1343190059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000695313","display_name":"Kre\u0161imir Matkovi\u0107","orcid":"https://orcid.org/0000-0001-9406-8943"},"institutions":[{"id":"https://openalex.org/I1343190059","display_name":"VRVis GmbH (Austria)","ror":"https://ror.org/02xyxvc90","country_code":"AT","type":"company","lineage":["https://openalex.org/I1343190059"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Kre\u0161imir Matkovi\u0107","raw_affiliation_strings":["VRVis Research Center, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VRVis Research Center, Vienna, Austria","institution_ids":["https://openalex.org/I1343190059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007628057","display_name":"Mario Jelovi\u0107","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mario Jelovi\u0107","raw_affiliation_strings":["AVL-AST d.o.o., Zagreb, Croatia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AVL-AST d.o.o., Zagreb, Croatia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000755776","display_name":"Helwig Hauser","orcid":"https://orcid.org/0000-0003-0395-3192"},"institutions":[{"id":"https://openalex.org/I4432739","display_name":"University of Bergen","ror":"https://ror.org/03zga2b32","country_code":"NO","type":"education","lineage":["https://openalex.org/I4432739"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Helwig Hauser","raw_affiliation_strings":["University of Bergen, Bergen, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bergen, Bergen, Norway","institution_ids":["https://openalex.org/I4432739"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1279,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.81240803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":1.0,"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":1.0,"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":0.9642000198364258,"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":0.9605000019073486,"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/interactive-visual-analysis","display_name":"Interactive visual analysis","score":0.7413827776908875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7036274075508118},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7000982761383057},{"id":"https://openalex.org/keywords/scalar","display_name":"Scalar (mathematics)","score":0.556501030921936},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5546191334724426},{"id":"https://openalex.org/keywords/interactive-visualization","display_name":"Interactive visualization","score":0.5396762490272522},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.532339870929718},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.4921249747276306},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4633612632751465},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45066583156585693},{"id":"https://openalex.org/keywords/creative-visualization","display_name":"Creative visualization","score":0.4385181963443756},{"id":"https://openalex.org/keywords/information-visualization","display_name":"Information visualization","score":0.4340376853942871},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.43028131127357483},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.41297560930252075},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2744155526161194},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19530165195465088}],"concepts":[{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.7413827776908875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7036274075508118},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7000982761383057},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.556501030921936},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5546191334724426},{"id":"https://openalex.org/C64073096","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Interactive visualization","level":3,"score":0.5396762490272522},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.532339870929718},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.4921249747276306},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4633612632751465},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45066583156585693},{"id":"https://openalex.org/C14669888","wikidata":"https://www.wikidata.org/wiki/Q4014850","display_name":"Creative visualization","level":3,"score":0.4385181963443756},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.4340376853942871},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43028131127357483},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.41297560930252075},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2744155526161194},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19530165195465088},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2362456.2362487","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2362456.2362487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.689.2410","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.689.2410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.semseg.eu/results/_files/2012-TAVA-KonyhaEtAl-AdvancedIVAofCurves.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6299999952316284,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G2321345834","display_name":null,"funder_award_id":"226042","funder_id":"https://openalex.org/F4320334960","funder_display_name":"Seventh Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320334960","display_name":"Seventh Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W123425721","https://openalex.org/W1506965148","https://openalex.org/W1536091370","https://openalex.org/W1576209423","https://openalex.org/W1594453896","https://openalex.org/W2025095868","https://openalex.org/W2076251662","https://openalex.org/W2082229705","https://openalex.org/W2096660585","https://openalex.org/W2098642632","https://openalex.org/W2105880797","https://openalex.org/W2111736285","https://openalex.org/W2113922176","https://openalex.org/W2116732611","https://openalex.org/W2132610277","https://openalex.org/W2135318737","https://openalex.org/W2138199375","https://openalex.org/W2142115640","https://openalex.org/W2143920107","https://openalex.org/W2164038168","https://openalex.org/W2164616135","https://openalex.org/W2168421103","https://openalex.org/W2171073562","https://openalex.org/W2396034051","https://openalex.org/W2410443667","https://openalex.org/W2551446148","https://openalex.org/W2752491485"],"related_works":["https://openalex.org/W2148525144","https://openalex.org/W3001728174","https://openalex.org/W4234837714","https://openalex.org/W2914351970","https://openalex.org/W2362367986","https://openalex.org/W4365511789","https://openalex.org/W4295118869","https://openalex.org/W2765873974","https://openalex.org/W3215871094","https://openalex.org/W2128652747"],"abstract_inverted_index":{"Time-series":[0],"data":[1,39,68,132,137,145],"are":[2],"regularly":[3],"collected":[4],"and":[5,46,139,147],"analyzed":[6],"in":[7,25,43,63,75,175],"a":[8,66,81],"wide":[9],"range":[10],"of":[11,19,27,33,37,56,58,73,96,98,116,161,163],"domains.":[12],"Multiple":[13],"simulation":[14],"runs":[15],"or":[16],"multiple":[17],"measurements":[18],"the":[20,54,93,113,117,151,167],"same":[21],"physical":[22],"quantity":[23],"result":[24],"ensembles":[26],"curves":[28,74],"which":[29,70],"we":[30,91,102],"call":[31],"families":[32,57,72,162],"curves.":[34,59,164],"The":[35,108,119],"analysis":[36,55,62,101,160,172],"time-series":[38],"is":[40,51],"extensively":[41],"studied":[42],"mathematics,":[44],"statistics,":[45],"visualization;":[47],"but":[48],"less":[49],"research":[50],"focused":[52],"on":[53],"Interactive":[60],"visual":[61,100,152,159],"combination":[64],"with":[65,170],"complex":[67,131],"model,":[69],"supports":[71],"addition":[76],"to":[77,154],"scalar":[78],"parameters,":[79],"represents":[80],"premium":[82],"methodology":[83],"for":[84],"such":[85],"an":[86,156],"analysis.":[87],"In":[88],"this":[89],"paper":[90],"describe":[92],"three":[94],"levels":[95,111],"complexity":[97],"interactive":[99,158],"identified":[103,174],"during":[104],"several":[105],"case":[106,177],"studies.":[107],"first":[109],"two":[110,176],"represent":[112],"current":[114],"state":[115],"art.":[118],"newly":[120],"introduced":[121],"third":[122],"level":[123],"makes":[124],"extracting":[125],"deeply":[126],"hidden":[127],"implicit":[128],"information":[129],"from":[130,179],"sets":[133],"possible":[134],"by":[135],"adding":[136],"derivation":[138,146],"advanced":[140,148],"interaction.":[141],"We":[142,165],"seamlessly":[143],"integrate":[144],"interaction":[149],"into":[150],"exploration":[153],"facilitate":[155],"in-depth":[157],"illustrate":[166],"proposed":[168],"approach":[169],"typical":[171],"patterns":[173],"studies":[178],"automotive":[180],"industry.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}