{"id":"https://openalex.org/W938745294","doi":"https://doi.org/10.1007/978-1-4419-1280-0_11","title":"PCA-based Time Series Similarity Search","display_name":"PCA-based Time Series Similarity Search","publication_year":2009,"publication_date":"2009-10-15","ids":{"openalex":"https://openalex.org/W938745294","doi":"https://doi.org/10.1007/978-1-4419-1280-0_11","mag":"938745294"},"language":"en","primary_location":{"id":"doi:10.1007/978-1-4419-1280-0_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-1-4419-1280-0_11","pdf_url":null,"source":{"id":"https://openalex.org/S4210205225","display_name":"Annals of information systems","issn_l":"1934-3213","issn":["1934-3213","1934-3221"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Information Systems","raw_type":"book-chapter"},"type":"book-chapter","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/A5025885391","display_name":"Leonidas Karamitopoulos","orcid":"https://orcid.org/0000-0003-1030-676X"},"institutions":[{"id":"https://openalex.org/I192756129","display_name":"University of Macedonia","ror":"https://ror.org/05fg6gr82","country_code":"GR","type":"education","lineage":["https://openalex.org/I192756129"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Leonidas Karamitopoulos","raw_affiliation_strings":["Department of Applied Informatics, University of Macedonia, 156 Egnatia Str, GR-54006, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Applied Informatics, University of Macedonia, 156 Egnatia Str, GR-54006, Thessaloniki, Greece","institution_ids":["https://openalex.org/I192756129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089769845","display_name":"Georgios Evangelidis","orcid":"https://orcid.org/0000-0003-1639-2152"},"institutions":[{"id":"https://openalex.org/I192756129","display_name":"University of Macedonia","ror":"https://ror.org/05fg6gr82","country_code":"GR","type":"education","lineage":["https://openalex.org/I192756129"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Georgios Evangelidis","raw_affiliation_strings":["Department of Applied Informatics, University of Macedonia, 156 Egnatia Str, GR-54006, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Applied Informatics, University of Macedonia, 156 Egnatia Str, GR-54006, Thessaloniki, Greece","institution_ids":["https://openalex.org/I192756129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032970498","display_name":"Dimitris A. Dervos","orcid":"https://orcid.org/0000-0002-5441-0086"},"institutions":[{"id":"https://openalex.org/I77990126","display_name":"Alexander Technological Educational Institute of Thessaloniki","ror":"https://ror.org/04h36ea57","country_code":"GR","type":"education","lineage":["https://openalex.org/I77990126"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Dimitris Dervos","raw_affiliation_strings":["Information Technology Department, Alexander Technology Educational Institute of Thessaloniki, P.O. Box 141, GR-57400, Sindos, Greece"],"affiliations":[{"raw_affiliation_string":"Information Technology Department, Alexander Technology Educational Institute of Thessaloniki, P.O. Box 141, GR-57400, Sindos, Greece","institution_ids":["https://openalex.org/I77990126"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032970498"],"corresponding_institution_ids":["https://openalex.org/I77990126"],"apc_list":null,"apc_paid":null,"fwci":1.2901,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.78323298,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"255","last_page":"276"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9785000085830688,"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"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9666000008583069,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6749558448791504},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6412275433540344},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6308363676071167},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.5909566879272461},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5482913255691528},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.5299599766731262},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.5214918851852417},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5061959624290466},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5057933330535889},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.49593743681907654},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.48491913080215454},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4523244798183441},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43224501609802246},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4275185465812683},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42615389823913574},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4234820306301117},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2901577949523926},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2267395257949829},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1649845540523529}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6749558448791504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6412275433540344},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6308363676071167},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.5909566879272461},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5482913255691528},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.5299599766731262},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5214918851852417},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5061959624290466},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5057933330535889},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.49593743681907654},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.48491913080215454},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4523244798183441},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43224501609802246},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4275185465812683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42615389823913574},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4234820306301117},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2901577949523926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2267395257949829},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1649845540523529},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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":1,"locations":[{"id":"doi:10.1007/978-1-4419-1280-0_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-1-4419-1280-0_11","pdf_url":null,"source":{"id":"https://openalex.org/S4210205225","display_name":"Annals of information systems","issn_l":"1934-3213","issn":["1934-3213","1934-3221"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Information Systems","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W207910289","https://openalex.org/W1497267485","https://openalex.org/W1499049447","https://openalex.org/W1504694836","https://openalex.org/W1696716473","https://openalex.org/W1823409095","https://openalex.org/W1970013651","https://openalex.org/W1986969158","https://openalex.org/W1989037929","https://openalex.org/W1989087337","https://openalex.org/W1990283595","https://openalex.org/W1993234758","https://openalex.org/W1993855803","https://openalex.org/W2009659891","https://openalex.org/W2018546346","https://openalex.org/W2034528422","https://openalex.org/W2036557187","https://openalex.org/W2066796814","https://openalex.org/W2076078388","https://openalex.org/W2090110089","https://openalex.org/W2094750987","https://openalex.org/W2096335861","https://openalex.org/W2098001825","https://openalex.org/W2099111195","https://openalex.org/W2115857176","https://openalex.org/W2118371392","https://openalex.org/W2124111503","https://openalex.org/W2125055259","https://openalex.org/W2148694408","https://openalex.org/W2151465245","https://openalex.org/W2153685828","https://openalex.org/W2156909104","https://openalex.org/W2613161123","https://openalex.org/W2617031979","https://openalex.org/W2747485148","https://openalex.org/W3099514962","https://openalex.org/W3129412156","https://openalex.org/W4238024369","https://openalex.org/W4247997121","https://openalex.org/W4249762498"],"related_works":["https://openalex.org/W4234717138","https://openalex.org/W4391098459","https://openalex.org/W4382241270","https://openalex.org/W4385693254","https://openalex.org/W4382242230","https://openalex.org/W1573605934","https://openalex.org/W2043362380","https://openalex.org/W1806551898","https://openalex.org/W3210346861","https://openalex.org/W3106798595"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2017,"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":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
