{"id":"https://openalex.org/W2126490564","doi":"https://doi.org/10.1145/1066157.1066192","title":"Multiple aggregations over data streams","display_name":"Multiple aggregations over data streams","publication_year":2005,"publication_date":"2005-06-14","ids":{"openalex":"https://openalex.org/W2126490564","doi":"https://doi.org/10.1145/1066157.1066192","mag":"2126490564"},"language":"en","primary_location":{"id":"doi:10.1145/1066157.1066192","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1066157.1066192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 ACM SIGMOD international conference on Management of data","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100422102","display_name":"Rui Zhang","orcid":"https://orcid.org/0000-0002-8729-8393"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Rui Zhang","raw_affiliation_strings":["National Univ. of Singapore","National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Univ. of Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035257754","display_name":"Nick Koudas","orcid":"https://orcid.org/0000-0001-5648-0638"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nick Koudas","raw_affiliation_strings":["Univ. of Toront\u00f3","University of Toronto"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Toront\u00f3","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024892041","display_name":"Beng Chin Ooi","orcid":"https://orcid.org/0000-0003-4446-1100"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Beng Chin Ooi","raw_affiliation_strings":["National Univ. of Singapore","National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Univ. of Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088315797","display_name":"Divesh Srivastava","orcid":"https://orcid.org/0000-0002-7609-9217"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Divesh Srivastava","raw_affiliation_strings":["AT&amp;T Labs-Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT&amp;T Labs-Research","institution_ids":["https://openalex.org/I1283103587"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.8849,"has_fulltext":false,"cited_by_count":96,"citation_normalized_percentile":{"value":0.97162752,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"299","last_page":"310"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9991999864578247,"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":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8496813774108887},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.8137158155441284},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.7599825859069824},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.7142239212989807},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4854646325111389},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.46765536069869995},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4657270312309265},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.46424588561058044},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.4248628616333008},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3406824767589569},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1452351212501526}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8496813774108887},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.8137158155441284},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.7599825859069824},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.7142239212989807},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4854646325111389},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.46765536069869995},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4657270312309265},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.46424588561058044},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.4248628616333008},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3406824767589569},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1452351212501526},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1145/1066157.1066192","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1066157.1066192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 ACM SIGMOD international conference on Management of data","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/40619","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/40619","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Conference Paper"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.332.8859","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.332.8859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.uiuc.edu/class/fa05/cs591han/sigmodpods05/sigmod/pdf/p299-zhang.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.60.5190","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.5190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://public.research.att.com/~divesh/papers/zkos2005-multiagg.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.66.8483","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.66.8483","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.comp.nus.edu.sg/~ooibc/Sigmod05_multiagg.pdf","raw_type":"text"},{"id":"pmh:oai:jupiter.its.unimelb.edu.au:11343/31640","is_oa":false,"landing_page_url":"http://hdl.handle.net/11343/31640","pdf_url":null,"source":{"id":"https://openalex.org/S4377196259","display_name":"Minerva Access (University of Melbourne)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165779595","host_organization_name":"The University of Melbourne","host_organization_lineage":["https://openalex.org/I165779595"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM SIGMOD International Conference on Management of Data","raw_type":"Conference Paper"}],"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/W110002133","https://openalex.org/W176053229","https://openalex.org/W253264081","https://openalex.org/W601160551","https://openalex.org/W1481218190","https://openalex.org/W1495986321","https://openalex.org/W1506882104","https://openalex.org/W1546420109","https://openalex.org/W1837392386","https://openalex.org/W1943411325","https://openalex.org/W1971405342","https://openalex.org/W2001474264","https://openalex.org/W2049742719","https://openalex.org/W2058978608","https://openalex.org/W2118828104","https://openalex.org/W2132461362","https://openalex.org/W2135499008","https://openalex.org/W2143401113","https://openalex.org/W2144261930","https://openalex.org/W2144771673","https://openalex.org/W2161569281","https://openalex.org/W2170515491","https://openalex.org/W2218541198","https://openalex.org/W2246395800","https://openalex.org/W2308044242","https://openalex.org/W2312199407","https://openalex.org/W2398660820","https://openalex.org/W2751862591","https://openalex.org/W4229653087","https://openalex.org/W4232534713","https://openalex.org/W4301441647","https://openalex.org/W6712268384"],"related_works":["https://openalex.org/W3119129187","https://openalex.org/W127192698","https://openalex.org/W2743735673","https://openalex.org/W2570600173","https://openalex.org/W2893008024","https://openalex.org/W2360131081","https://openalex.org/W2985941356","https://openalex.org/W4361801939","https://openalex.org/W2802243998","https://openalex.org/W1521014365"],"abstract_inverted_index":{"Monitoring":[0],"aggregates":[1],"on":[2,31,61,165,177],"IP":[3,20,179],"traffic":[4,21,180],"data":[5,12,22,32,58],"streams":[6],"is":[7,72,101,171],"a":[8,62,78,121,172],"compelling":[9],"application":[10],"for":[11,18,140,160,194],"stream":[13],"management":[14],"systems.":[15],"The":[16],"need":[17],"exploratory":[19],"analysis":[23],"naturally":[24],"leads":[25],"to":[26,132,137,187],"posing":[27],"related":[28],"aggregation":[29,85],"queries":[30,86],"streams,":[33,59],"that":[34,75],"differ":[35],"only":[36],"in":[37,76,142],"the":[38,73,89,92,105,143,148,152,189],"choice":[39],"of":[40,50,94,107,112,127,150,191],"grouping":[41],"attributes.":[42],"In":[43],"this":[44,48,118],"paper,":[45],"we":[46],"address":[47],"problem":[49,106,119],"efficiently":[51],"computing":[52,81],"multiple":[53],"aggregations":[54],"over":[55],"high":[56],"speed":[57],"based":[60,164,176],"two-level":[63],"LFTA/HFTA":[64],"DSMS":[65],"architecture,":[66],"inspired":[67],"by":[68],"Gigascope.Our":[69],"first":[70],"contribution":[71,100,170],"insight":[74],"such":[77],"scenario,":[79],"additionally":[80],"and":[82,114,135,155],"maintaining":[83],"fine-granularity":[84],"(phantoms)":[87],"at":[88],"LFTA":[90,110],"has":[91],"benefit":[93],"supporting":[95],"shared":[96],"computation.":[97],"Our":[98,168],"second":[99],"an":[102],"investigation":[103],"into":[104],"identifying":[108,195],"beneficial":[109,196],"configurations":[111],"phantoms":[113,134],"user-queries.":[115],"We":[116,145],"formulate":[117],"as":[120,182,184],"cost":[122,157],"optimization":[123],"problem,":[124],"which":[125],"consists":[126],"two":[128],"sub-optimization":[129],"problems:":[130],"how":[131,136],"choose":[133],"allocate":[138],"space":[139],"them":[141],"LFTA.":[144],"formally":[146],"show":[147],"hardness":[149],"determining":[151],"optimal":[153],"configuration,":[154],"propose":[156],"greedy":[158],"heuristics":[159],"these":[161],"independent":[162],"sub-problems":[163],"detailed":[166],"analyses.":[167],"final":[169],"thorough":[173],"experimental":[174],"study,":[175],"real":[178],"data,":[181,186],"well":[183],"synthetic":[185],"demonstrate":[188],"effectiveness":[190],"our":[192],"techniques":[193],"configurations.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":12}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
