{"id":"https://openalex.org/W1510645397","doi":"https://doi.org/10.2312/vissym/eurovis06/195-202","title":"A Spectral Visualization System for Analyzing Financial Time Series Data","display_name":"A Spectral Visualization System for Analyzing Financial Time Series Data","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W1510645397","doi":"https://doi.org/10.2312/vissym/eurovis06/195-202","mag":"1510645397"},"language":"en","primary_location":{"id":"pmh:oai:kops.uni-konstanz.de:123456789/5565","is_oa":true,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-68989","pdf_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-68989","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-68989","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","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":true,"raw_author_name":"Keim, Daniel A.","raw_affiliation_strings":["Dept. of Comput. & Inf. Sci., Univ. of Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"Dept. of Comput. & Inf. Sci., Univ. of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081928205","display_name":"Tilo Nietzschmann","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":false,"raw_author_name":"Nietzschmann, Tilo","raw_affiliation_strings":["Dept. of Comput. & Inf. Sci., Univ. of Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"Dept. of Comput. & Inf. Sci., Univ. of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077458673","display_name":"Norman Schelwies","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schelwies, Norman","raw_affiliation_strings":["DekaBank, Frankfurt am Main, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"DekaBank, Frankfurt am Main, Germany#TAB#","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109232728","display_name":"J\u00f6rn Schneidewind","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":false,"raw_author_name":"Schneidewind, J\u00f6rn","raw_affiliation_strings":["Dept. of Comput. & Inf. Sci., Univ. of Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"Dept. of Comput. & Inf. Sci., Univ. of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016219620","display_name":"Tobias Schreck","orcid":"https://orcid.org/0000-0003-0778-8665"},"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":"Schreck, Tobias","raw_affiliation_strings":["Dept. of Comput. & Inf. Sci., Univ. of Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"Dept. of Comput. & Inf. Sci., Univ. of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113509600","display_name":"Hartmut Ziegler","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":false,"raw_author_name":"Ziegler, Hartmut","raw_affiliation_strings":["Dept. of Comput. & Inf. Sci., Univ. of Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"Dept. of Comput. & Inf. Sci., Univ. of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5073919282"],"corresponding_institution_ids":["https://openalex.org/I189712700"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":43,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9979000091552734,"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":0.9979000091552734,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9797999858856201,"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":0.7540842294692993},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7430376410484314},{"id":"https://openalex.org/keywords/bar-chart","display_name":"Bar chart","score":0.6085985898971558},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5921406745910645},{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.5693743228912354},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5523423552513123},{"id":"https://openalex.org/keywords/asset","display_name":"Asset (computer security)","score":0.5487676858901978},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43956127762794495},{"id":"https://openalex.org/keywords/pie-chart","display_name":"Pie chart","score":0.43345001339912415},{"id":"https://openalex.org/keywords/real-time-data","display_name":"Real-time data","score":0.4150055944919586},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.32587534189224243},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16597890853881836},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1060628890991211},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10522085428237915}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7540842294692993},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7430376410484314},{"id":"https://openalex.org/C61122496","wikidata":"https://www.wikidata.org/wiki/Q1124595","display_name":"Bar chart","level":2,"score":0.6085985898971558},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5921406745910645},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.5693743228912354},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5523423552513123},{"id":"https://openalex.org/C76178495","wikidata":"https://www.wikidata.org/wiki/Q4808784","display_name":"Asset (computer security)","level":2,"score":0.5487676858901978},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43956127762794495},{"id":"https://openalex.org/C205208641","wikidata":"https://www.wikidata.org/wiki/Q273404","display_name":"Pie chart","level":2,"score":0.43345001339912415},{"id":"https://openalex.org/C110593043","wikidata":"https://www.wikidata.org/wiki/Q7300787","display_name":"Real-time data","level":2,"score":0.4150055944919586},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.32587534189224243},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16597890853881836},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1060628890991211},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10522085428237915},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:kops.uni-konstanz.de:123456789/5565","is_oa":true,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-68989","pdf_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-68989","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"doi:10.2312/vissym/eurovis06/195-202","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vissym/eurovis06/195-202","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:kops.uni-konstanz.de:123456789/5565","is_oa":true,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-68989","pdf_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-68989","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[{"id":"https://openalex.org/G1701314662","display_name":null,"funder_award_id":"GK-1042","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6052429835","display_name":null,"funder_award_id":"(DFG)","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G8665663653","display_name":null,"funder_award_id":"Frankfurt","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1510645397.pdf","grobid_xml":"https://content.openalex.org/works/W1510645397.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1482753234","https://openalex.org/W1495354255","https://openalex.org/W1600704669","https://openalex.org/W1898724844","https://openalex.org/W1916757608","https://openalex.org/W1984072195","https://openalex.org/W2068489605","https://openalex.org/W2097236039","https://openalex.org/W2103822396","https://openalex.org/W2111263072","https://openalex.org/W2111736285","https://openalex.org/W2146520578","https://openalex.org/W2147768899","https://openalex.org/W2168047527","https://openalex.org/W2171373347"],"related_works":["https://openalex.org/W2144241057","https://openalex.org/W2114313114","https://openalex.org/W2171373347","https://openalex.org/W2068489605","https://openalex.org/W2157524260","https://openalex.org/W2138199375","https://openalex.org/W2089076842","https://openalex.org/W2025804044","https://openalex.org/W1594453896","https://openalex.org/W2122863437","https://openalex.org/W2109067458","https://openalex.org/W2069914666","https://openalex.org/W2007556336","https://openalex.org/W51477051","https://openalex.org/W2905087913","https://openalex.org/W2146520578","https://openalex.org/W2111263072","https://openalex.org/W2097481508","https://openalex.org/W1898724844","https://openalex.org/W2573169959"],"abstract_inverted_index":{"Visual":[0],"data":[1,6,42],"analysis":[2,239],"of":[3,17,62,76,86,91,99,120,140,162,168,173,189,194,229],"time":[4,40,102,133,147],"related":[5],"sets":[7],"has":[8],"attracted":[9],"much":[10],"research":[11],"interest":[12],"recently,":[13],"and":[14,34,54,69,191,202,212,233],"a":[15,66,73,107,145,150,160,170,177,205],"number":[16],"sophisticated":[18],"visualization":[19,37,111],"methods":[20],"have":[21],"been":[22],"proposed":[23],"in":[24,89,144,149],"the":[25,31,44,60,83,96,118,137,154,157,187,221,227,230],"past.":[26],"In":[27],"financial":[28,182,238],"analysis,":[29],"however,":[30],"most":[32,35],"important":[33],"common":[36],"techniques":[38,123],"for":[39,113,180,237],"series":[41],"is":[43,95],"traditional":[45],"line-":[46],"or":[47],"bar":[48],"chart.":[49],"Although":[50],"these":[51],"are":[52],"intuitive":[53],"make":[55],"it":[56,185],"easy":[57,84],"to":[58,198],"spot":[59],"effect":[61],"key":[63,97],"events":[64],"on":[65],"asset\u0092s":[67],"price,":[68],"its":[70,234],"return":[71,129,164],"over":[72,131,136],"given":[74,146],"period":[75],"time,":[77,156],"price":[78],"charts":[79],"do":[80],"not":[81,125],"allow":[82],"perception":[85],"relative":[87],"movements":[88],"terms":[90],"growth":[92],"rates,":[93],"which":[94],"feature":[98],"any":[100],"price-related":[101],"series.":[103],"This":[104,175],"paper":[105],"presents":[106],"novel":[108],"Growth":[109],"Matrix":[110],"technique":[112,158,222],"analyzing":[114,181],"assets.":[115,174],"It":[116],"extends":[117],"ability":[119],"existing":[121,216],"chart":[122,217],"by":[124,223],"only":[126],"visualizing":[127],"asset":[128],"rates":[130,165],"fixed":[132],"frames,":[134],"but":[135],"full":[138],"spectrum":[139],"all":[141],"subintervals":[142],"present":[143],"frame,":[148],"single":[151],"view.":[152],"At":[153],"same":[155],"allows":[159,186,204],"comparison":[161],"subinterval":[163],"among":[166],"groups":[167],"even":[169],"few":[171],"hundreds":[172],"provides":[176],"powerful":[178],"way":[179],"data,":[183],"since":[184],"identification":[188],"strong":[190],"weak":[192],"periods":[193],"assets":[195],"as":[196],"compared":[197],"global":[199],"market":[200],"characteristics,":[201],"thus":[203],"more":[206],"encompassing":[207],"visual":[208],"classification":[209],"into":[210],"\"good\"":[211],"\"poor\"":[213],"performers":[214],"than":[215],"techniques.":[218],"We":[219],"illustrate":[220],"real-world":[224],"examples":[225],"showing":[226],"abilities":[228],"new":[231],"approach,":[232],"high":[235],"relevance":[236],"tasks.":[240]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}