{"id":"https://openalex.org/W2888804504","doi":"https://doi.org/10.2312/eurova.20181112","title":"Combining the Automated Segmentation and Visual Analysis of Multivariate Time Series","display_name":"Combining the Automated Segmentation and Visual Analysis of Multivariate Time Series","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2888804504","doi":"https://doi.org/10.2312/eurova.20181112","mag":"2888804504"},"language":"en","primary_location":{"id":"doi:10.2312/eurova.20181112","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eurova.20181112","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":false,"raw_source_name":null,"raw_type":"article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/eurova.20181112","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078086722","display_name":"J\u00fcrgen Bernard","orcid":"https://orcid.org/0000-0001-8741-9709"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bernard, J\u00fcrgen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005586208","display_name":"Christian Bors","orcid":"https://orcid.org/0000-0001-8119-7025"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bors, Christian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032676799","display_name":"Markus B\u00f6gl","orcid":"https://orcid.org/0000-0002-8337-4774"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"B\u00f6gl, Markus","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037607602","display_name":"Christian Eichner","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eichner, Christian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079997473","display_name":"Theresia Gschwandtner","orcid":"https://orcid.org/0000-0002-9555-3374"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gschwandtner, Theresia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019622072","display_name":"Silvia Miksch","orcid":"https://orcid.org/0000-0003-4427-5703"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miksch, Silvia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039180428","display_name":"Heidrun Schumann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schumann, Heidrun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5032433963","display_name":"J\u00f6rn Kohlhammer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kohlhammer, J\u00f6rn","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9901000261306763,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9901000261306763,"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/T10799","display_name":"Data Visualization and Analytics","score":0.963100016117096,"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/series","display_name":"Series (stratigraphy)","score":0.5886930823326111},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5716895461082458},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5434624552726746},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5423049330711365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5228805541992188},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4752775728702545},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"Multivariate analysis","score":0.41798636317253113},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35921990871429443},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35330116748809814},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20832279324531555},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11449465155601501}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5886930823326111},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5716895461082458},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5434624552726746},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5423049330711365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5228805541992188},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4752775728702545},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.41798636317253113},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35921990871429443},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35330116748809814},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20832279324531555},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11449465155601501},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/eurova.20181112","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eurova.20181112","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":"doi:10.2312/eurova.20181112","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eurova.20181112","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":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2959752065","https://openalex.org/W2888854077","https://openalex.org/W2996669158","https://openalex.org/W2744045245","https://openalex.org/W2960826148","https://openalex.org/W2966038578","https://openalex.org/W2947830256","https://openalex.org/W2955413729","https://openalex.org/W179972192","https://openalex.org/W3106767551","https://openalex.org/W2906394293","https://openalex.org/W2868148645","https://openalex.org/W2605614681","https://openalex.org/W2730188197","https://openalex.org/W3037102231","https://openalex.org/W3003221115","https://openalex.org/W2889137440","https://openalex.org/W2995596828","https://openalex.org/W3201154982","https://openalex.org/W2511502086"],"abstract_inverted_index":{"For":[0],"the":[1,53,100,147,150],"automatic":[2],"segmentation":[3,57,63,69,86,93],"of":[4,18,21,32,55,105,111,149],"multivariate":[5],"time":[6],"series":[7],"domain":[8,65,82,134],"experts":[9,66,83,135],"at":[10],"first":[11],"need":[12],"to":[13,36,41,44,88,119],"consider":[14],"a":[15,29,56],"huge":[16],"space":[17],"alternative":[19],"configurations":[20,34],"algorithms":[22],"and":[23,39,91,108,122],"parameters.":[24],"We":[25],"assume":[26],"that":[27],"only":[28],"small":[30],"subset":[31],"these":[33],"needs":[35],"be":[37],"computed":[38],"analyzed":[40],"lead":[42],"users":[43],"meaningful":[45],"configurations.":[46,74],"To":[47],"expedite":[48],"this":[49],"search,":[50],"we":[51],"propose":[52],"conceptualization":[54],"workflow.":[58,151],"First,":[59],"with":[60,71,133],"an":[61,77,96],"algorithmic":[62],"pipeline,":[64],"can":[67,84],"calculate":[68],"results":[70,87],"different":[72,109],"parameter":[73],"Second,":[75],"in":[76,95,137],"interactive":[78,101],"visual":[79],"analysis":[80,102],"step,":[81],"explore":[85],"further":[89],"adapt":[90],"improve":[92],"pipeline":[94],"informed":[97],"way.":[98],"In":[99],"approach":[103],"influences":[104],"algorithms,":[106],"parameters,":[107],"types":[110],"uncertainty":[112],"information":[113],"are":[114],"conveyed,":[115],"which":[116,140],"is":[117,127],"decisive":[118],"trigger":[120],"selective":[121],"purposeful":[123],"re-calculations.":[124],"The":[125],"workflow":[126],"built":[128],"upon":[129],"reflections":[130],"on":[131],"collaborations":[132],"working":[136],"activity":[138],"recognition,":[139],"also":[141],"defines":[142],"our":[143],"usage":[144],"scenario":[145],"demonstrating":[146],"applicability":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
