{"id":"https://openalex.org/W2025970444","doi":"https://doi.org/10.1109/icde.2010.5447930","title":"Space-efficient online approximation of time series data: Streams, amnesia, and out-of-order","display_name":"Space-efficient online approximation of time series data: Streams, amnesia, and out-of-order","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2025970444","doi":"https://doi.org/10.1109/icde.2010.5447930","mag":"2025970444"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2010.5447930","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2010.5447930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)","raw_type":"proceedings-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/A5048956553","display_name":"Sorabh Gandhi","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sorabh Gandhi","raw_affiliation_strings":["Department of Computer Science, University of California,\uc2a0Santa Barbara, Santa Barbara, CA, USA","Department of Computer Science, UC Santa Barbara, CA 93106-5110, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California,\uc2a0Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]},{"raw_affiliation_string":"Department of Computer Science, UC Santa Barbara, CA 93106-5110, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073919193","display_name":"Luca Foschini","orcid":"https://orcid.org/0000-0001-9062-3647"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luca Foschini","raw_affiliation_strings":["Department of Computer Science, University of California,\uc2a0Santa Barbara, Santa Barbara, CA, USA","Department of Computer Science, UC Santa Barbara, CA 93106-5110, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California,\uc2a0Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]},{"raw_affiliation_string":"Department of Computer Science, UC Santa Barbara, CA 93106-5110, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072397842","display_name":"Subhash Suri","orcid":"https://orcid.org/0000-0002-5668-7521"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Subhash Suri","raw_affiliation_strings":["Department of Computer Science, University of California,\uc2a0Santa Barbara, Santa Barbara, CA, USA","Department of Computer Science, UC Santa Barbara, CA 93106-5110, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California,\uc2a0Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]},{"raw_affiliation_string":"Department of Computer Science, UC Santa Barbara, CA 93106-5110, USA","institution_ids":["https://openalex.org/I154570441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048956553"],"corresponding_institution_ids":["https://openalex.org/I154570441"],"apc_list":null,"apc_paid":null,"fwci":1.6909,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.83983234,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"924","last_page":"935"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9977999925613403,"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":0.9977999925613403,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9962000250816345,"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/T11309","display_name":"Music and Audio Processing","score":0.9908999800682068,"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/computer-science","display_name":"Computer science","score":0.6475122570991516},{"id":"https://openalex.org/keywords/approximation-error","display_name":"Approximation error","score":0.55905681848526},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.5538380742073059},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5406434535980225},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5144615173339844},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4466448426246643},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4302102327346802},{"id":"https://openalex.org/keywords/function-approximation","display_name":"Function approximation","score":0.42215657234191895},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.4113766551017761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22951164841651917},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12392845749855042},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10238862037658691}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6475122570991516},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.55905681848526},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.5538380742073059},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5406434535980225},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5144615173339844},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4466448426246643},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4302102327346802},{"id":"https://openalex.org/C91873725","wikidata":"https://www.wikidata.org/wiki/Q3445816","display_name":"Function approximation","level":3,"score":0.42215657234191895},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.4113766551017761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22951164841651917},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12392845749855042},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10238862037658691},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icde.2010.5447930","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2010.5447930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.157.6354","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.6354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.ucsb.edu/~suri/psdir/icde10.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W7514022","https://openalex.org/W1491931038","https://openalex.org/W1541493329","https://openalex.org/W1631295847","https://openalex.org/W1822348499","https://openalex.org/W1983609110","https://openalex.org/W2001474264","https://openalex.org/W2042591571","https://openalex.org/W2047424291","https://openalex.org/W2053062040","https://openalex.org/W2057058417","https://openalex.org/W2099305116","https://openalex.org/W2107633943","https://openalex.org/W2110557355","https://openalex.org/W2115366404","https://openalex.org/W2128869116","https://openalex.org/W2135216003","https://openalex.org/W2143009348","https://openalex.org/W2146420558","https://openalex.org/W2148039410","https://openalex.org/W2148588185","https://openalex.org/W2156212081","https://openalex.org/W2163336863","https://openalex.org/W2164135006","https://openalex.org/W2169461572","https://openalex.org/W4237421257","https://openalex.org/W6600311079","https://openalex.org/W6629308526","https://openalex.org/W6636357689","https://openalex.org/W6638337754","https://openalex.org/W6661122342","https://openalex.org/W6674712571"],"related_works":["https://openalex.org/W2171221472","https://openalex.org/W3204684126","https://openalex.org/W3117290964","https://openalex.org/W1594413663","https://openalex.org/W2163115662","https://openalex.org/W2045237525","https://openalex.org/W189401716","https://openalex.org/W2898570308","https://openalex.org/W2019216770","https://openalex.org/W3177870706"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,50],"present":[4],"an":[5],"abstract":[6],"framework":[7,34,81],"for":[8,21,48],"online":[9],"approximation":[10,54],"of":[11,19,41,104],"time-series":[12],"data":[13,25],"that":[14],"yields":[15,96],"a":[16,37,44],"unified":[17,99],"set":[18],"algorithms":[20,120],"several":[22],"popular":[23,38],"models:":[24],"streams,":[26],"amnesic":[27],"approximation,":[28],"and":[29,63,98,129],"out-of-order":[30],"stream":[31],"approximation.":[32],"Our":[33],"essentially":[35],"develops":[36],"greedy":[39],"method":[40],"bucket-merging":[42],"into":[43,108],"more":[45],"generic":[46],"form,":[47],"which":[49],"can":[51],"prove":[52],"space-quality":[53],"bounds.":[55],"When":[56],"specialized":[57],"to":[58,83],"piecewise":[59],"linear":[60],"bucket":[61],"approximations":[62],"commonly":[64],"used":[65],"error":[66,85],"metrics,":[67],"such":[68],"as":[69,112],"L":[70,75],"<sub":[71,76],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[72,77],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[73],"or":[74,95],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u00bf</sub>":[78],",":[79],"our":[80,105,116],"leads":[82],"provable":[84],"bounds":[86],"where":[87],"none":[88],"were":[89],"known":[90],"before,":[91],"offers":[92],"new":[93],"results,":[94],"simpler":[97],"algorithms.":[100],"The":[101],"conceptual":[102],"simplicity":[103],"scheme":[106],"translates":[107],"highly":[109],"practical":[110],"implementations,":[111],"borne":[113],"out":[114],"in":[115],"simulation":[117],"studies:":[118],"the":[119],"produce":[121],"near-optimal":[122],"approximations,":[123],"require":[124],"very":[125],"small":[126],"memory":[127],"footprints,":[128],"run":[130],"extremely":[131],"fast.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
