{"id":"https://openalex.org/W2975007889","doi":"https://doi.org/10.1007/s00778-019-00573-w","title":"Coconut: sortable summarizations for scalable indexes over static and streaming data series","display_name":"Coconut: sortable summarizations for scalable indexes over static and streaming data series","publication_year":2019,"publication_date":"2019-09-25","ids":{"openalex":"https://openalex.org/W2975007889","doi":"https://doi.org/10.1007/s00778-019-00573-w","mag":"2975007889"},"language":"en","primary_location":{"id":"doi:10.1007/s00778-019-00573-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00778-019-00573-w","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/A5070664655","display_name":"Haridimos Kondylakis","orcid":"https://orcid.org/0000-0002-9917-4486"},"institutions":[{"id":"https://openalex.org/I8901234","display_name":"Foundation for Research and Technology Hellas","ror":"https://ror.org/052rphn09","country_code":"GR","type":"facility","lineage":["https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Haridimos Kondylakis","raw_affiliation_strings":["FORTH-ICS, Heraklion, Greece"],"raw_orcid":"https://orcid.org/0000-0002-9917-4486","affiliations":[{"raw_affiliation_string":"FORTH-ICS, Heraklion, Greece","institution_ids":["https://openalex.org/I8901234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003707725","display_name":"Niv Dayan","orcid":"https://orcid.org/0000-0003-0314-0167"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Niv Dayan","raw_affiliation_strings":["Harvard University, Cambridge, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University, Cambridge, USA","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028953147","display_name":"Kostas Zoumpatianos","orcid":"https://orcid.org/0000-0002-6221-8254"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kostas Zoumpatianos","raw_affiliation_strings":["Harvard University, Cambridge, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University, Cambridge, USA","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053726723","display_name":"Themis Palpanas","orcid":"https://orcid.org/0000-0002-8031-0265"},"institutions":[{"id":"https://openalex.org/I110736937","display_name":"D\u00e9l\u00e9gation Paris 5","ror":"https://ror.org/02e0y6e06","country_code":"FR","type":"government","lineage":["https://openalex.org/I110736937","https://openalex.org/I154526488"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Themis Palpanas","raw_affiliation_strings":["Paris Descartes University, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paris Descartes University, Paris, France","institution_ids":["https://openalex.org/I110736937","https://openalex.org/I204730241"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":null,"fwci":3.6717,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.94168848,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"28","issue":"6","first_page":"847","last_page":"869"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9883000254631042,"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":0.9879999756813049,"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/series","display_name":"Series (stratigraphy)","score":0.7242628931999207},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.70008784532547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6567087769508362},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.5785800218582153},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5589646697044373},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.46810221672058105},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46086370944976807},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.42178207635879517},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.4149931073188782},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.41089847683906555},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.41006606817245483},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2903347611427307},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.2457137107849121},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.23988544940948486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20279929041862488},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14649921655654907}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.7242628931999207},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.70008784532547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6567087769508362},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.5785800218582153},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5589646697044373},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.46810221672058105},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46086370944976807},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.42178207635879517},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.4149931073188782},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.41089847683906555},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.41006606817245483},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2903347611427307},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.2457137107849121},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.23988544940948486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20279929041862488},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14649921655654907},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/s00778-019-00573-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00778-019-00573-w","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":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":80,"referenced_works":["https://openalex.org/W67158865","https://openalex.org/W145669980","https://openalex.org/W848133049","https://openalex.org/W1499049447","https://openalex.org/W1562291184","https://openalex.org/W1570020612","https://openalex.org/W1777389131","https://openalex.org/W1970660119","https://openalex.org/W1976338956","https://openalex.org/W1989037929","https://openalex.org/W1990591351","https://openalex.org/W1997086281","https://openalex.org/W1997741691","https://openalex.org/W2024081861","https://openalex.org/W2028020839","https://openalex.org/W2029438113","https://openalex.org/W2037537012","https://openalex.org/W2038142281","https://openalex.org/W2039260438","https://openalex.org/W2042591571","https://openalex.org/W2053062040","https://openalex.org/W2066796814","https://openalex.org/W2068739275","https://openalex.org/W2072708938","https://openalex.org/W2077720176","https://openalex.org/W2083236658","https://openalex.org/W2084481683","https://openalex.org/W2095223629","https://openalex.org/W2097747115","https://openalex.org/W2098089331","https://openalex.org/W2099302229","https://openalex.org/W2101005720","https://openalex.org/W2101329222","https://openalex.org/W2103016999","https://openalex.org/W2109806013","https://openalex.org/W2110704543","https://openalex.org/W2110825163","https://openalex.org/W2117157603","https://openalex.org/W2118269922","https://openalex.org/W2119323564","https://openalex.org/W2122646361","https://openalex.org/W2122990007","https://openalex.org/W2123049307","https://openalex.org/W2124451897","https://openalex.org/W2127218421","https://openalex.org/W2128061541","https://openalex.org/W2134423343","https://openalex.org/W2135961964","https://openalex.org/W2138011093","https://openalex.org/W2148039410","https://openalex.org/W2160404300","https://openalex.org/W2161621125","https://openalex.org/W2163188760","https://openalex.org/W2163336863","https://openalex.org/W2266934531","https://openalex.org/W2294581520","https://openalex.org/W2296028074","https://openalex.org/W2405230789","https://openalex.org/W2496293167","https://openalex.org/W2513211580","https://openalex.org/W2605800201","https://openalex.org/W2753710282","https://openalex.org/W2753963667","https://openalex.org/W2766751560","https://openalex.org/W2794911547","https://openalex.org/W2795208716","https://openalex.org/W2798290452","https://openalex.org/W2896497283","https://openalex.org/W2898525571","https://openalex.org/W2900440391","https://openalex.org/W2914343162","https://openalex.org/W2948924052","https://openalex.org/W2998655947","https://openalex.org/W2999729612","https://openalex.org/W3036206328","https://openalex.org/W3149201378","https://openalex.org/W4205806386","https://openalex.org/W4254407586","https://openalex.org/W4298882835","https://openalex.org/W6743145398"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W1517524280","https://openalex.org/W4389760904","https://openalex.org/W3005992387","https://openalex.org/W4360924407"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}