{"id":"https://openalex.org/W1966267272","doi":"https://doi.org/10.1145/2723372.2723715","title":"Exploiting Correlations for Expensive Predicate Evaluation","display_name":"Exploiting Correlations for Expensive Predicate Evaluation","publication_year":2015,"publication_date":"2015-05-27","ids":{"openalex":"https://openalex.org/W1966267272","doi":"https://doi.org/10.1145/2723372.2723715","mag":"1966267272"},"language":"en","primary_location":{"id":"doi:10.1145/2723372.2723715","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2723372.2723715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data","raw_type":"proceedings-article"},"type":"preprint","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/A5050060224","display_name":"Manas Joglekar","orcid":"https://orcid.org/0000-0001-9733-7504"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Manas Joglekar","raw_affiliation_strings":["Stanford University, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055883336","display_name":"H\u00e9ctor Garc\u00eda-Molina","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hector Garcia-Molina","raw_affiliation_strings":["Stanford University, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013608601","display_name":"Aditya Parameswaran","orcid":"https://orcid.org/0000-0002-4538-4752"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aditya Parameswaran","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Champaign, IL, USA","University of Illinois at Urbana-Champaign, Champaign, IL, USA;"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Champaign, IL, USA;","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103852640","display_name":"Christopher R\u00e9","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Re","raw_affiliation_strings":["Stanford University, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5050060224"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":1.4014,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.83769543,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1183","last_page":"1198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9997000098228455,"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"}},"topics":[{"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/T11106","display_name":"Data Management and Algorithms","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/T10215","display_name":"Semantic Web and Ontologies","score":0.9987000226974487,"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":0.82816481590271},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.816874623298645},{"id":"https://openalex.org/keywords/predicate","display_name":"Predicate (mathematical logic)","score":0.7978244423866272},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5618088841438293},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4943196773529053},{"id":"https://openalex.org/keywords/lazy-evaluation","display_name":"Lazy evaluation","score":0.48163145780563354},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42334744334220886},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33560192584991455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.324639230966568},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.19106799364089966},{"id":"https://openalex.org/keywords/functional-programming","display_name":"Functional programming","score":0.11769691109657288},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0967257022857666}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.82816481590271},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.816874623298645},{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.7978244423866272},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5618088841438293},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4943196773529053},{"id":"https://openalex.org/C128099668","wikidata":"https://www.wikidata.org/wiki/Q573952","display_name":"Lazy evaluation","level":3,"score":0.48163145780563354},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42334744334220886},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33560192584991455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.324639230966568},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.19106799364089966},{"id":"https://openalex.org/C42383842","wikidata":"https://www.wikidata.org/wiki/Q193076","display_name":"Functional programming","level":2,"score":0.11769691109657288},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0967257022857666},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2723372.2723715","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2723372.2723715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.763.5486","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.763.5486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1411.3374.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.921.5228","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.921.5228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Christopher_Re/publication/268227213_Exploiting_Correlations_for_Expensive_Predicate_Evaluation/links/54c11c430cf25b4b8071b539.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1510305954","https://openalex.org/W1519876418","https://openalex.org/W1586825695","https://openalex.org/W1784244685","https://openalex.org/W1977810318","https://openalex.org/W2014830756","https://openalex.org/W2017052417","https://openalex.org/W2025721839","https://openalex.org/W2037701287","https://openalex.org/W2044849727","https://openalex.org/W2063546264","https://openalex.org/W2064379477","https://openalex.org/W2071989194","https://openalex.org/W2079806729","https://openalex.org/W2097995023","https://openalex.org/W2102489964","https://openalex.org/W2110557355","https://openalex.org/W2111687586","https://openalex.org/W2126333155","https://openalex.org/W2129207602","https://openalex.org/W2130486630","https://openalex.org/W2134786002","https://openalex.org/W2139276812","https://openalex.org/W2153259545","https://openalex.org/W2160967997","https://openalex.org/W2164219265","https://openalex.org/W2168144930","https://openalex.org/W2168452204","https://openalex.org/W2199389590","https://openalex.org/W2272039041","https://openalex.org/W2296677182","https://openalex.org/W2496945004","https://openalex.org/W3120740533","https://openalex.org/W4242587584","https://openalex.org/W4250212406","https://openalex.org/W6723301277"],"related_works":["https://openalex.org/W4245395944","https://openalex.org/W2143551613","https://openalex.org/W1979740464","https://openalex.org/W2143345456","https://openalex.org/W2138823233","https://openalex.org/W1789991335","https://openalex.org/W2562731034","https://openalex.org/W2154423717","https://openalex.org/W2137603913","https://openalex.org/W2028310253"],"abstract_inverted_index":{"User":[0],"Defined":[1],"Function(UDFs)":[2],"are":[3,67,80],"used":[4],"increasingly":[5],"to":[6,21,38,69,103,127],"augment":[7],"query":[8],"languages":[9],"with":[10,43],"extra,":[11],"application":[12],"dependent":[13],"functionality.":[14],"Selection":[15],"queries":[16,42,54],"involving":[17],"UDF":[18,44,123],"predicates":[19],"tend":[20],"be":[22],"expensive,":[23],"either":[24],"in":[25,122,135],"terms":[26],"of":[27,50,72,78,125],"monetary":[28],"cost":[29,57],"or":[30,90],"latency.":[31],"In":[32],"this":[33,84],"paper,":[34],"we":[35,108],"study":[36],"ways":[37],"efficiently":[39],"evaluate":[40],"selection":[41,76],"predicates.":[45],"We":[46,98],"provide":[47],"a":[48,70,132],"family":[49],"techniques":[51,66,102,111],"for":[52],"processing":[53],"at":[55],"low":[56],"while":[58,129],"satisfying":[59],"user-specified":[60],"precision":[61],"and":[62,115],"recall":[63],"constraints.":[64],"Our":[65],"applicable":[68],"variety":[71],"scenarios":[73],"including":[74],"when":[75,83,91],"probabilities":[77],"tuples":[79],"available":[81,87],"beforehand,":[82],"information":[85,95],"is":[86,96],"but":[88],"noisy,":[89],"no":[92],"such":[93],"prior":[94],"available.":[97],"also":[99],"generalize":[100],"our":[101,110],"more":[104],"complex":[105],"queries.":[106],"Finally,":[107],"test":[109],"on":[112],"real":[113],"datasets,":[114],"show":[116],"that":[117],"they":[118],"achieve":[119],"significant":[120],"savings":[121],"evaluations":[124],"up":[126],"$80\\%$,":[128],"incurring":[130],"only":[131],"small":[133],"reduction":[134],"accuracy.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
