{"id":"https://openalex.org/W1970013651","doi":"https://doi.org/10.1007/s00778-004-0144-2","title":"Indexing Multidimensional Time-Series","display_name":"Indexing Multidimensional Time-Series","publication_year":2005,"publication_date":"2005-07-22","ids":{"openalex":"https://openalex.org/W1970013651","doi":"https://doi.org/10.1007/s00778-004-0144-2","mag":"1970013651"},"language":"en","primary_location":{"id":"doi:10.1007/s00778-004-0144-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00778-004-0144-2","pdf_url":null,"source":{"id":"https://openalex.org/S78926909","display_name":"The VLDB Journal","issn_l":"0949-877X","issn":["0949-877X","1066-8888"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The VLDB Journal","raw_type":"journal-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/A5091785745","display_name":"Michail Vlachos","orcid":"https://orcid.org/0000-0003-1008-5290"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michail Vlachos","raw_affiliation_strings":["IBM T.J. Watson Research Center, Hawthorne, NY, USA","IBM T. J. Watson Research Center, USA"],"affiliations":[{"raw_affiliation_string":"IBM T.J. Watson Research Center, Hawthorne, NY, USA","institution_ids":["https://openalex.org/I1341412227"]},{"raw_affiliation_string":"IBM T. J. Watson Research Center, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058831095","display_name":"Marios Hadjieleftheriou","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]},{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marios Hadjieleftheriou","raw_affiliation_strings":["Computer Science Department, University of California, Riverside, CA, USA","Computer Science Department, University of California, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of California, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"Computer Science Department, University of California, USA#TAB#","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063685438","display_name":"Dimitrios Gunopulos","orcid":"https://orcid.org/0000-0001-6339-1879"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitrios Gunopulos","raw_affiliation_strings":["Computer Science Department, University of California, Riverside, CA, USA","Computer Science Department, University of California, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of California, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"Computer Science Department, University of California, USA#TAB#","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078245746","display_name":"Eamonn Keogh","orcid":"https://orcid.org/0000-0002-4188-3968"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]},{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eamonn Keogh","raw_affiliation_strings":["Computer Science Department, University of California, Riverside, CA, USA","Computer Science Department, University of California, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of California, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"Computer Science Department, University of California, USA#TAB#","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091785745"],"corresponding_institution_ids":["https://openalex.org/I1341412227"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":null,"fwci":4.2154,"has_fulltext":false,"cited_by_count":155,"citation_normalized_percentile":{"value":0.94330911,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"15","issue":"1","first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9955999851226807,"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/T11309","display_name":"Music and Audio Processing","score":0.9787999987602234,"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/dynamic-time-warping","display_name":"Dynamic time warping","score":0.8987285494804382},{"id":"https://openalex.org/keywords/longest-common-subsequence-problem","display_name":"Longest common subsequence problem","score":0.7899856567382812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.750487744808197},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.7304299473762512},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6733506917953491},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.6071175932884216},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5929621458053589},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.5402362942695618},{"id":"https://openalex.org/keywords/distance-measures","display_name":"Distance measures","score":0.5077722668647766},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5067909359931946},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.490181028842926},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.48353147506713867},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4661112427711487},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4571312665939331},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.44360795617103577},{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.4403698444366455},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.43313807249069214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3549591302871704},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27785515785217285},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2273944616317749}],"concepts":[{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.8987285494804382},{"id":"https://openalex.org/C120098539","wikidata":"https://www.wikidata.org/wiki/Q141001","display_name":"Longest common subsequence problem","level":2,"score":0.7899856567382812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.750487744808197},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.7304299473762512},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6733506917953491},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.6071175932884216},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5929621458053589},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.5402362942695618},{"id":"https://openalex.org/C2639959","wikidata":"https://www.wikidata.org/wiki/Q1344778","display_name":"Distance measures","level":2,"score":0.5077722668647766},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5067909359931946},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.490181028842926},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.48353147506713867},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4661112427711487},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4571312665939331},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.44360795617103577},{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.4403698444366455},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.43313807249069214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3549591302871704},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27785515785217285},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2273944616317749},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00778-004-0144-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00778-004-0144-2","pdf_url":null,"source":{"id":"https://openalex.org/S78926909","display_name":"The VLDB Journal","issn_l":"0949-877X","issn":["0949-877X","1066-8888"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The VLDB Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W39942585","https://openalex.org/W58346954","https://openalex.org/W116902681","https://openalex.org/W131856359","https://openalex.org/W134663840","https://openalex.org/W1499049447","https://openalex.org/W1514224985","https://openalex.org/W1531902130","https://openalex.org/W1562291184","https://openalex.org/W1587157435","https://openalex.org/W1603321032","https://openalex.org/W1647671624","https://openalex.org/W1796251476","https://openalex.org/W1864972570","https://openalex.org/W1939649909","https://openalex.org/W2000372739","https://openalex.org/W2002328435","https://openalex.org/W2006783944","https://openalex.org/W2014122208","https://openalex.org/W2036557187","https://openalex.org/W2040816013","https://openalex.org/W2046144220","https://openalex.org/W2047216628","https://openalex.org/W2057781267","https://openalex.org/W2062687261","https://openalex.org/W2066834853","https://openalex.org/W2067047477","https://openalex.org/W2068039256","https://openalex.org/W2076249942","https://openalex.org/W2086086639","https://openalex.org/W2098001825","https://openalex.org/W2098272719","https://openalex.org/W2108752797","https://openalex.org/W2109225550","https://openalex.org/W2114716229","https://openalex.org/W2118269922","https://openalex.org/W2127513746","https://openalex.org/W2128061541","https://openalex.org/W2130876538","https://openalex.org/W2132585078","https://openalex.org/W2133184712","https://openalex.org/W2147880780","https://openalex.org/W2149921886","https://openalex.org/W2150856527","https://openalex.org/W2151465245","https://openalex.org/W2155919101","https://openalex.org/W2156301828","https://openalex.org/W2162870748","https://openalex.org/W2163336863","https://openalex.org/W2167081989","https://openalex.org/W2167833054","https://openalex.org/W2243558602","https://openalex.org/W2491460667","https://openalex.org/W2621032335","https://openalex.org/W4214671568","https://openalex.org/W4231088442","https://openalex.org/W4242599275"],"related_works":["https://openalex.org/W3035561683","https://openalex.org/W3027372070","https://openalex.org/W2432484786","https://openalex.org/W2968843500","https://openalex.org/W2513074791","https://openalex.org/W2008107235","https://openalex.org/W2014214435","https://openalex.org/W2182136398","https://openalex.org/W3141827490","https://openalex.org/W2052451333"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":10}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}