{"id":"https://openalex.org/W2127062614","doi":"https://doi.org/10.2312/eurova.20141142","title":"A Visual Analytics Approach to Segmenting and Labeling Multivariate Time Series Data","display_name":"A Visual Analytics Approach to Segmenting and Labeling Multivariate Time Series Data","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2127062614","doi":"https://doi.org/10.2312/eurova.20141142","mag":"2127062614"},"language":"en","primary_location":{"id":"doi:10.2312/eurova.20141142","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eurova.20141142","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.20141142","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103406484","display_name":"Bilal Alsallakh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alsallakh, Bilal","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/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/A5084522467","display_name":"Bilal Esmael","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Esmael, Bilal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069022047","display_name":"Arghad Arnaout","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arnaout, Arghad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070604697","display_name":"Gerhard Thonhauser","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thonhauser, Gerhard","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5080626205","display_name":"Philipp Z\u00f6llner","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Z\u00f6llner, Philipp","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":12,"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":0.9995999932289124,"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":0.9975000023841858,"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/T13083","display_name":"Advanced Text Analysis Techniques","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":0.7318946123123169},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.7311391830444336},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6452803611755371},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.6431069374084473},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6077824831008911},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5526519417762756},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5509079694747925},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5344193577766418},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5307393670082092},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5177832841873169},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5125172138214111},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5112533569335938},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5046638250350952},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3808727264404297},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3660214841365814},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10816136002540588}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7318946123123169},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.7311391830444336},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6452803611755371},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.6431069374084473},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6077824831008911},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5526519417762756},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5509079694747925},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5344193577766418},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5307393670082092},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5177832841873169},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5125172138214111},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5112533569335938},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5046638250350952},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3808727264404297},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3660214841365814},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10816136002540588},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","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},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2312/eurova.20141142","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eurova.20141142","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"},{"id":"mag:2127062614","is_oa":false,"landing_page_url":"https://publik.tuwien.ac.at/files/PubDat_228344.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.2312/eurova.20141142","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eurova.20141142","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":[{"display_name":"Industry, innovation and infrastructure","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W138826380","https://openalex.org/W152012061","https://openalex.org/W1576209423","https://openalex.org/W1963756833","https://openalex.org/W1997102766","https://openalex.org/W2008348094","https://openalex.org/W2020571458","https://openalex.org/W2082437573","https://openalex.org/W2089188198","https://openalex.org/W2097098223","https://openalex.org/W2097481508","https://openalex.org/W2099315633","https://openalex.org/W2106738877","https://openalex.org/W2108713782","https://openalex.org/W2116908453","https://openalex.org/W2122072198","https://openalex.org/W2130031954","https://openalex.org/W2144024567","https://openalex.org/W2147353820","https://openalex.org/W2147997165","https://openalex.org/W2152460728","https://openalex.org/W2159591770","https://openalex.org/W2340779274","https://openalex.org/W2494980014","https://openalex.org/W3022307797"],"related_works":["https://openalex.org/W1983463833","https://openalex.org/W3008071634","https://openalex.org/W2188977294","https://openalex.org/W2181708114","https://openalex.org/W2787021269","https://openalex.org/W1569197029","https://openalex.org/W1974567385","https://openalex.org/W1961961564","https://openalex.org/W111240979","https://openalex.org/W1904286918","https://openalex.org/W2162061363","https://openalex.org/W2783028038","https://openalex.org/W3114432325","https://openalex.org/W3106285451","https://openalex.org/W3004747380","https://openalex.org/W2905064480","https://openalex.org/W3148955003","https://openalex.org/W2517773182","https://openalex.org/W2519467423","https://openalex.org/W3091989716"],"abstract_inverted_index":{"Many":[0],"natural":[1],"and":[2,104,122,138],"industrial":[3],"processes":[4,19,43],"such":[5],"as":[6],"oil":[7],"well":[8],"construction":[9],"are":[10],"composed":[11],"of":[12,15],"a":[13,89],"sequence":[14],"recurring":[16],"activities.":[17,58],"Such":[18],"can":[20,62],"often":[21],"be":[22],"monitored":[23],"via":[24],"multiple":[25],"sensors":[26],"that":[27,53,80,93],"record":[28],"physical":[29],"measurements":[30],"over":[31],"time.":[32],"Using":[33],"these":[34],"measurements,":[35],"it":[36],"is":[37,132],"sometimes":[38],"possible":[39],"to":[40,55,77,84,115,142],"reconstruct":[41],"the":[42,46,56,71,117,135],"by":[44],"segmenting":[45,103],"respective":[47],"time":[48,96,107],"series":[49,97,108],"data":[50],"into":[51],"intervals":[52],"correspond":[54],"constituent":[57],"While":[59],"automated":[60,100],"algorithms":[61,101],"compute":[63],"this":[64],"segmentation":[65,120],"rapidly,":[66],"they":[67],"cannot":[68],"always":[69],"achieve":[70],"required":[72],"accuracy":[73],"rate":[74],"e.g.":[75],"due":[76],"process":[78],"variations":[79],"need":[81],"human":[82],"judgment":[83],"account":[85],"for.":[86],"We":[87,127],"propose":[88],"Visual":[90],"Analytics":[91],"approach":[92,111,131],"intertwines":[94],"interactive":[95],"visualization":[98],"with":[99],"for":[102],"labeling":[105],"multivariate":[106],"data.":[109],"Our":[110],"helps":[112],"domain":[113],"experts":[114],"inspect":[116],"results,":[118],"identify":[119],"problems,":[121],"correct":[123],"mislabeled":[124],"segments":[125],"accordingly.":[126],"demonstrate":[128],"how":[129],"our":[130],"applied":[133],"in":[134],"drilling":[136],"industry":[137],"discuss":[139],"its":[140],"applicability":[141],"other":[143],"domains":[144],"having":[145],"similar":[146],"requirements.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}