{"id":"https://openalex.org/W2798277312","doi":"https://doi.org/10.1145/3183713.3183747","title":"AQP++","display_name":"AQP++","publication_year":2018,"publication_date":"2018-05-25","ids":{"openalex":"https://openalex.org/W2798277312","doi":"https://doi.org/10.1145/3183713.3183747","mag":"2798277312"},"language":"en","primary_location":{"id":"doi:10.1145/3183713.3183747","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3183713.3183747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Management of Data","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/A5013263366","display_name":"Jinglin Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Jinglin Peng","raw_affiliation_strings":["Simon Fraser University, Burnaby, BC, Canada"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011200911","display_name":"Dongxiang Zhang","orcid":"https://orcid.org/0000-0002-9964-2470"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongxiang Zhang","raw_affiliation_strings":["National University of Defense Technology &amp;Simon Fraser University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology &amp;Simon Fraser University, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101850961","display_name":"Jiannan Wang","orcid":"https://orcid.org/0009-0002-8978-312X"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jiannan Wang","raw_affiliation_strings":["Simon Fraser University, Burnaby, BC, Canada"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062247330","display_name":"Jian Pei","orcid":"https://orcid.org/0000-0002-2200-8711"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]},{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Jian Pei","raw_affiliation_strings":["JD.com &amp;Simon Fraser University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"JD.com &amp;Simon Fraser University, Beijing, China","institution_ids":["https://openalex.org/I4210103986","https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5013263366"],"corresponding_institution_ids":["https://openalex.org/I18014758"],"apc_list":null,"apc_paid":null,"fwci":6.7709,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.97659617,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1477","last_page":"1492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9959999918937683,"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":0.8864251375198364},{"id":"https://openalex.org/keywords/precomputation","display_name":"Precomputation","score":0.7909213900566101},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.679799497127533},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.6315516829490662},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5185190439224243},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.47004571557044983},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4112808108329773},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38972389698028564},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30708664655685425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.184219092130661},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.10042676329612732}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8864251375198364},{"id":"https://openalex.org/C159379195","wikidata":"https://www.wikidata.org/wiki/Q7239568","display_name":"Precomputation","level":3,"score":0.7909213900566101},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.679799497127533},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.6315516829490662},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5185190439224243},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.47004571557044983},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4112808108329773},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38972389698028564},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30708664655685425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.184219092130661},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.10042676329612732},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3183713.3183747","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3183713.3183747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":80,"referenced_works":["https://openalex.org/W20889460","https://openalex.org/W38346608","https://openalex.org/W1483819513","https://openalex.org/W1494049834","https://openalex.org/W1522055873","https://openalex.org/W1577196345","https://openalex.org/W1577912117","https://openalex.org/W1592355944","https://openalex.org/W1603787670","https://openalex.org/W1975184797","https://openalex.org/W1993482412","https://openalex.org/W1998244781","https://openalex.org/W2002791618","https://openalex.org/W2016443758","https://openalex.org/W2022858489","https://openalex.org/W2024562752","https://openalex.org/W2029038562","https://openalex.org/W2035801804","https://openalex.org/W2036560106","https://openalex.org/W2037701287","https://openalex.org/W2038412523","https://openalex.org/W2066293100","https://openalex.org/W2068634907","https://openalex.org/W2071425575","https://openalex.org/W2071989194","https://openalex.org/W2072764742","https://openalex.org/W2074935284","https://openalex.org/W2078907037","https://openalex.org/W2091341267","https://openalex.org/W2103201239","https://openalex.org/W2110363867","https://openalex.org/W2114076791","https://openalex.org/W2117348908","https://openalex.org/W2134791164","https://openalex.org/W2137682733","https://openalex.org/W2138529836","https://openalex.org/W2139276812","https://openalex.org/W2143401113","https://openalex.org/W2145555113","https://openalex.org/W2152029707","https://openalex.org/W2152191782","https://openalex.org/W2154639674","https://openalex.org/W2164507334","https://openalex.org/W2169982181","https://openalex.org/W2171004305","https://openalex.org/W2199389590","https://openalex.org/W2272315143","https://openalex.org/W2284530523","https://openalex.org/W2296195275","https://openalex.org/W2296677182","https://openalex.org/W2397360326","https://openalex.org/W2401507339","https://openalex.org/W2421547754","https://openalex.org/W2429510775","https://openalex.org/W2436406362","https://openalex.org/W2438261314","https://openalex.org/W2575695977","https://openalex.org/W2584246098","https://openalex.org/W2602567987","https://openalex.org/W2604536700","https://openalex.org/W2612048434","https://openalex.org/W2613577383","https://openalex.org/W2615303257","https://openalex.org/W2620285820","https://openalex.org/W2732582420","https://openalex.org/W2787688218","https://openalex.org/W2913201029","https://openalex.org/W3138367763","https://openalex.org/W4239086110","https://openalex.org/W4242587584","https://openalex.org/W4250212406","https://openalex.org/W4250854929","https://openalex.org/W4251617391","https://openalex.org/W4291720394","https://openalex.org/W4291720518","https://openalex.org/W6634596301","https://openalex.org/W6635371082","https://openalex.org/W6636188751","https://openalex.org/W6682701686","https://openalex.org/W6737993660"],"related_works":["https://openalex.org/W126258643","https://openalex.org/W2157769033","https://openalex.org/W2096978683","https://openalex.org/W2687399516","https://openalex.org/W2543067032","https://openalex.org/W2170398238","https://openalex.org/W3029113864","https://openalex.org/W2020308516","https://openalex.org/W2105708429","https://openalex.org/W4302077803"],"abstract_inverted_index":{"Interactive":[0],"analytics":[1],"requires":[2],"database":[3,37],"systems":[4],"to":[5,8,57,69,84,101,119,141],"be":[6],"able":[7],"answer":[9,102,171],"aggregation":[10],"queries":[11,133],"within":[12],"interactive":[13,76],"response":[14,168],"times.":[15],"As":[16],"the":[17,34,36,67,86,107],"amount":[18],"of":[19,109,128],"data":[20,55],"is":[21,29],"continuously":[22],"growing":[23],"at":[24],"an":[25,125],"unprecedented":[26],"rate,":[27],"this":[28,59,62,121],"becoming":[30],"increasingly":[31],"challenging.":[32],"In":[33,61],"past,":[35],"community":[38],"has":[39],"proposed":[40],"two":[41,72,147],"separate":[42,73],"ideas,":[43],"sampling-based":[44],"approximate":[45],"query":[46,167],"processing":[47],"(AQP)":[48],"and":[49,115,134,138,150,161,170],"aggregate":[50,100],"precomputation":[51],"(AggPre)":[52],"such":[53,111],"as":[54,95,97],"cubes,":[56],"address":[58,142],"challenge.":[60],"paper,":[63],"we":[64],"argue":[65],"for":[66,75,131],"need":[68],"connect":[70],"these":[71,129],"ideas":[74],"analytics.":[77],"We":[78,105,123],"propose":[79],"AQP++,":[80],"a":[81,93,98,112,158],"novel":[82],"framework":[83,89,114],"enable":[85],"connection.":[87],"The":[88],"can":[90],"leverage":[91],"both":[92,136],"sample":[94],"well":[96],"precomputed":[99],"user":[103],"queries.":[104],"discuss":[106],"advantages":[108],"having":[110],"unified":[113],"identify":[116],"new":[117],"challenges":[118,130],"fulfill":[120],"vision.":[122],"conduct":[124],"in-depth":[126],"study":[127],"range":[132],"explore":[135],"optimal":[137],"heuristic":[139],"solutions":[140],"them.":[143],"Our":[144],"experiments":[145],"using":[146],"public":[148],"benchmarks":[149],"one":[151],"real-world":[152],"dataset":[153],"show":[154],"that":[155],"AQP++":[156],"achieves":[157],"more":[159],"flexible":[160],"better":[162],"trade-off":[163],"among":[164],"preprocessing":[165],"cost,":[166],"time,":[169],"quality":[172],"than":[173],"AQP":[174],"or":[175],"AggPre.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2018-05-07T00:00:00"}
