{"id":"https://openalex.org/W1777389131","doi":"https://doi.org/10.14778/2824032.2824099","title":"RINSE","display_name":"RINSE","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1777389131","doi":"https://doi.org/10.14778/2824032.2824099","mag":"1777389131"},"language":"en","primary_location":{"id":"doi:10.14778/2824032.2824099","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2824032.2824099","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","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/A5028953147","display_name":"Kostas Zoumpatianos","orcid":"https://orcid.org/0000-0002-6221-8254"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Kostas Zoumpatianos","raw_affiliation_strings":["University of Trento"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Trento","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026905380","display_name":"Stratos Idreos","orcid":"https://orcid.org/0000-0002-8271-9187"},"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":"Stratos Idreos","raw_affiliation_strings":["Harvard University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University","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/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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paris Descartes University","institution_ids":["https://openalex.org/I204730241"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.8217,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.97415414,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"8","issue":"12","first_page":"1912","last_page":"1915"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9983000159263611,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/search-engine-indexing","display_name":"Search engine indexing","score":0.8785591125488281},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8471354246139526},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.6727977395057678},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6483398079872131},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6213923692703247},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6024177074432373},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5476693511009216},{"id":"https://openalex.org/keywords/database-index","display_name":"Database index","score":0.5198134183883667},{"id":"https://openalex.org/keywords/inverted-index","display_name":"Inverted index","score":0.49420931935310364},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.42213934659957886},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1585998237133026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11730435490608215}],"concepts":[{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.8785591125488281},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8471354246139526},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.6727977395057678},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6483398079872131},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6213923692703247},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6024177074432373},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5476693511009216},{"id":"https://openalex.org/C59276292","wikidata":"https://www.wikidata.org/wiki/Q580427","display_name":"Database index","level":3,"score":0.5198134183883667},{"id":"https://openalex.org/C130590232","wikidata":"https://www.wikidata.org/wiki/Q1671754","display_name":"Inverted index","level":3,"score":0.49420931935310364},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.42213934659957886},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1585998237133026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11730435490608215},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/2824032.2824099","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2824032.2824099","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","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":22,"referenced_works":["https://openalex.org/W1499049447","https://openalex.org/W1510874905","https://openalex.org/W1989037929","https://openalex.org/W1990591351","https://openalex.org/W1997741691","https://openalex.org/W2028020839","https://openalex.org/W2042591571","https://openalex.org/W2066796814","https://openalex.org/W2075018787","https://openalex.org/W2077720176","https://openalex.org/W2083619093","https://openalex.org/W2113601246","https://openalex.org/W2118269922","https://openalex.org/W2119323564","https://openalex.org/W2155595639","https://openalex.org/W2161621125","https://openalex.org/W2238624099","https://openalex.org/W2295766156","https://openalex.org/W6647870624","https://openalex.org/W6661122342","https://openalex.org/W6671592966","https://openalex.org/W7062905887"],"related_works":["https://openalex.org/W2413339343","https://openalex.org/W3042412286","https://openalex.org/W1940136973","https://openalex.org/W1544843123","https://openalex.org/W2160484851","https://openalex.org/W2555949133","https://openalex.org/W2010239723","https://openalex.org/W2582063655","https://openalex.org/W2017270170","https://openalex.org/W2111331041"],"abstract_inverted_index":{"Numerous":[0],"applications":[1],"continuously":[2],"produce":[3],"big":[4],"amounts":[5],"of":[6,44,69,90,97,112,117,138,152,170,196],"data":[7,23,33,50,77,99,129,197,204,210,224,234],"series,":[8],"and":[9,46,80,86,167],"in":[10],"several":[11],"time":[12,118,216],"critical":[13],"scenarios":[14],"analysts":[15],"need":[16],"to":[17,20,40,60,148,202,211],"be":[18],"able":[19],"query":[21,212],"these":[22],"as":[24,26,57],"soon":[25],"they":[27,189],"become":[28],"available.":[29],"An":[30],"adaptive":[31,155,233],"index":[32,73,121,156],"structure,":[34],"ADS+,":[35],"which":[36,101],"is":[37,66,109],"specifically":[38],"tailored":[39],"solve":[41],"the":[42,71,75,91,95,98,102,120,128,150,153,209,215],"problem":[43],"indexing":[45,218,221,236],"querying":[47,81],"very":[48],"large":[49,165,203],"series":[51,225,235],"collections":[52],"has":[53],"been":[54],"recently":[55],"proposed":[56],"a":[58,136,143,183,193,230],"solution":[59],"this":[61,132],"problem.":[62],"The":[63,106],"main":[64],"idea":[65],"that":[67,110,145],"instead":[68,111],"building":[70],"complete":[72,76],"over":[74],"set":[78],"up-front":[79],"only":[82,93],"later,":[83],"we":[84,134,140],"interactively":[85],"adaptively":[87],"build":[88],"parts":[89,96],"index,":[92],"for":[94,114,119],"on":[100],"users":[103,123,147],"pose":[104],"queries.":[105,244],"net":[107],"effect":[108],"waiting":[113],"extended":[115],"periods":[116],"creation,":[122],"can":[124,163,177,190,200,237],"immediately":[125],"start":[126],"exploring":[127],"series.":[130,198],"In":[131],"work,":[133],"present":[135],"demonstration":[137],"ADS+;":[139],"introduce":[141],"RINSE,":[142],"system":[144],"allows":[146],"experience":[149],"benefits":[151],"ADS+":[154],"through":[157],"an":[158],"intuitive":[159],"web":[160],"interface.":[161],"Users":[162],"explore":[164],"datasets":[166],"find":[168],"patterns":[169],"interest,":[171],"using":[172,182],"nearest":[173],"neighbor":[174],"search.":[175],"They":[176],"draw":[178],"queries":[179],"(data":[180],"series)":[181],"mouse,":[184],"or":[185,188],"touch":[186],"screen,":[187],"select":[191],"from":[192],"predefined":[194],"list":[195],"RINSE":[199],"scale":[201],"sizes,":[205],"while":[206],"drastically":[207],"reducing":[208],"delay:":[213],"by":[214],"state-of-the-art":[217],"techniques":[219],"finish":[220],"1":[222],"billion":[223],"(and":[226],"before":[227],"answering":[228],"even":[229],"single":[231],"query),":[232],"already":[238],"answer":[239],"3":[240],"*":[241],"10":[242],"5":[243]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2016-06-24T00:00:00"}