{"id":"https://openalex.org/W2272315143","doi":"https://doi.org/10.14778/2777598.2777599","title":"DAQ","display_name":"DAQ","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W2272315143","doi":"https://doi.org/10.14778/2777598.2777599","mag":"2272315143"},"language":"en","primary_location":{"id":"doi:10.14778/2777598.2777599","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2777598.2777599","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/A5065871791","display_name":"Navneet Potti","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Navneet Potti","raw_affiliation_strings":["University of Wisconsin -- Madison"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin -- Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069237428","display_name":"Jignesh M. Patel","orcid":"https://orcid.org/0000-0003-3653-2538"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jignesh M. Patel","raw_affiliation_strings":["University of Wisconsin -- Madison"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin -- Madison","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":7.3902,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.97803102,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":"9","first_page":"898","last_page":"909"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":1.0,"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/T11106","display_name":"Data Management and Algorithms","score":1.0,"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":0.9997000098228455,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.995199978351593,"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":0.7690073847770691},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5951164364814758},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5602340698242188},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5248032808303833},{"id":"https://openalex.org/keywords/predicate","display_name":"Predicate (mathematical logic)","score":0.5116808414459229},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4199259877204895},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3674030601978302},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3205713629722595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19187849760055542},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.125636488199234},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1070961058139801}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7690073847770691},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5951164364814758},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5602340698242188},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5248032808303833},{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.5116808414459229},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4199259877204895},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3674030601978302},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3205713629722595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19187849760055542},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.125636488199234},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1070961058139801},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/2777598.2777599","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2777598.2777599","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":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1571066610","https://openalex.org/W1592355944","https://openalex.org/W1967983783","https://openalex.org/W2002791618","https://openalex.org/W2003421875","https://openalex.org/W2014180767","https://openalex.org/W2024400846","https://openalex.org/W2024562752","https://openalex.org/W2071989194","https://openalex.org/W2072540320","https://openalex.org/W2078686663","https://openalex.org/W2110363867","https://openalex.org/W2111967617","https://openalex.org/W2296677182","https://openalex.org/W2338322935","https://openalex.org/W3002580249","https://openalex.org/W3009110938","https://openalex.org/W3120205898","https://openalex.org/W4251617391"],"related_works":["https://openalex.org/W4290792893","https://openalex.org/W1521353230","https://openalex.org/W1596397513","https://openalex.org/W4280566261","https://openalex.org/W2394099118","https://openalex.org/W2087258916","https://openalex.org/W2739624643","https://openalex.org/W2015192756","https://openalex.org/W2950075769","https://openalex.org/W4302055908"],"abstract_inverted_index":{"Many":[0],"modern":[1],"applications":[2],"deal":[3],"with":[4,52,77,130],"exponentially":[5],"increasing":[6],"data":[7,19],"volumes":[8],"and":[9,27,91,114,143,161,164],"aid":[10],"business-critical":[11],"decisions":[12],"in":[13,17,32,88],"near":[14],"real-time.":[15],"Particularly":[16],"exploratory":[18],"analysis,":[20],"the":[21,48,63,72,92,125,145,150],"focus":[22],"is":[23,35,43,50],"on":[24,59],"interactive":[25],"querying":[26,105],"some":[28,70,116],"degree":[29],"of":[30,62,71,94,127,149],"error":[31],"estimated":[33],"results":[34],"tolerable.":[36],"A":[37],"common":[38],"response":[39],"to":[40,83],"this":[41,66,78,128],"challenge":[42],"approximate":[44,104],"query":[45],"processing,":[46],"where":[47],"user":[49],"presented":[51],"a":[53,60,95,109,139],"quick":[54],"confidence":[55],"interval":[56],"estimate":[57],"based":[58],"sample":[61],"data.":[64],"In":[65],"work,":[67],"we":[68,101],"highlight":[69],"problems":[73],"that":[74],"are":[75],"associated":[76],"probabilistic":[79],"approach":[80,129],"when":[81],"extended":[82],"more":[84],"complex":[85],"queries,":[86],"both":[87],"semantic":[89],"interpretation":[90],"lack":[93],"formal":[96],"algebra.":[97],"As":[98],"an":[99,131],"alternative,":[100],"propose":[102],"deterministic":[103,111,133],"(DAQ)":[106],"schemes,":[107],"formalize":[108],"closed":[110],"approximation":[112,135],"algebra,":[113],"outline":[115],"design":[117],"principles":[118],"for":[119,168],"DAQ":[120],"schemes.":[121],"We":[122],"also":[123],"illustrate":[124],"utility":[126],"example":[132],"online":[134],"scheme":[136,155],"which":[137],"uses":[138],"bitsliced":[140],"index":[141],"representation":[142],"computes":[144],"most":[146],"significant":[147],"bits":[148],"result":[151],"first.":[152],"Our":[153],"prototype":[154],"delivers":[156],"speedups":[157],"over":[158],"exact":[159],"aggregation":[160],"predicate":[162],"evaluation,":[163],"outperforms":[165],"sampling-based":[166],"schemes":[167],"extreme":[169],"value":[170],"aggregations.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2016-06-24T00:00:00"}