{"id":"https://openalex.org/W2021993549","doi":"https://doi.org/10.1145/2109196.2109202","title":"Understanding cardinality estimation using entropy maximization","display_name":"Understanding cardinality estimation using entropy maximization","publication_year":2012,"publication_date":"2012-02-01","ids":{"openalex":"https://openalex.org/W2021993549","doi":"https://doi.org/10.1145/2109196.2109202","mag":"2021993549"},"language":"en","primary_location":{"id":"doi:10.1145/2109196.2109202","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2109196.2109202","pdf_url":null,"source":{"id":"https://openalex.org/S90119964","display_name":"ACM Transactions on Database Systems","issn_l":"0362-5915","issn":["0362-5915","1557-4644"],"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":"ACM Transactions on Database Systems","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/A5103852640","display_name":"Christopher R\u00e9","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":true,"raw_author_name":"Christopher R\u00e9","raw_affiliation_strings":["University of Wisconsin--Madison","University of Wisconsin, Madison"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin--Madison","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"University of Wisconsin, Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048204602","display_name":"Dan Suciu","orcid":"https://orcid.org/0000-0002-4144-0868"},"institutions":[{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]},{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Suciu","raw_affiliation_strings":["University of Washington, Seattle","University of Washington , Seattle"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle","institution_ids":["https://openalex.org/I58610484","https://openalex.org/I201448701"]},{"raw_affiliation_string":"University of Washington , Seattle","institution_ids":["https://openalex.org/I58610484","https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103852640"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":0.4955,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.66093878,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"37","issue":"1","first_page":"1","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9975000023841858,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.8215675354003906},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7674036622047424},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.713430643081665},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.5959188342094421},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5487381815910339},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4511231780052185},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4400537610054016},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.42399245500564575},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3630527853965759},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3159983456134796},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.21656358242034912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18704944849014282},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17763346433639526},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17593926191329956},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.10832640528678894}],"concepts":[{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.8215675354003906},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7674036622047424},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.713430643081665},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.5959188342094421},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5487381815910339},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4511231780052185},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4400537610054016},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.42399245500564575},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3630527853965759},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3159983456134796},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.21656358242034912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18704944849014282},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17763346433639526},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17593926191329956},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.10832640528678894},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/2109196.2109202","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2109196.2109202","pdf_url":null,"source":{"id":"https://openalex.org/S90119964","display_name":"ACM Transactions on Database Systems","issn_l":"0362-5915","issn":["0362-5915","1557-4644"],"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":"ACM Transactions on Database Systems","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.170.8197","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.170.8197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.washington.edu/homes/suciu/pods024_re.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.179.3433","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.179.3433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://pages.cs.wisc.edu/%7Echrisre/papers/pods024_re.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.222.3021","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.222.3021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://pages.cs.wisc.edu/%7Echrisre/papers/TODS_max_ent_models_CRC.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G1869467075","display_name":null,"funder_award_id":"N000141210041","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G5105226944","display_name":null,"funder_award_id":"FA8750-09-C-0181","funder_id":"https://openalex.org/F4320338294","funder_display_name":"Air Force Research Laboratory"},{"id":"https://openalex.org/G7169383620","display_name":null,"funder_award_id":"IIS-0915054, IIS-1115188, IIS-1064505, IIS-0911036, IIS-1054009","funder_id":"https://openalex.org/F4320337389","funder_display_name":"Division of Information and Intelligent Systems"}],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320337389","display_name":"Division of Information and Intelligent Systems","ror":"https://ror.org/053a2cp42"},{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1486776102","https://openalex.org/W1493098199","https://openalex.org/W1509562192","https://openalex.org/W1539863007","https://openalex.org/W1558832481","https://openalex.org/W1581547316","https://openalex.org/W1588527235","https://openalex.org/W1595409123","https://openalex.org/W1779256329","https://openalex.org/W1977970897","https://openalex.org/W1981462693","https://openalex.org/W2007069074","https://openalex.org/W2007932293","https://openalex.org/W2013092187","https://openalex.org/W2064379477","https://openalex.org/W2064383543","https://openalex.org/W2066588467","https://openalex.org/W2068871408","https://openalex.org/W2073479529","https://openalex.org/W2102166438","https://openalex.org/W2107102574","https://openalex.org/W2120340025","https://openalex.org/W2120825705","https://openalex.org/W2129515384","https://openalex.org/W2139606141","https://openalex.org/W2150779766","https://openalex.org/W2151310484","https://openalex.org/W2156776134","https://openalex.org/W2157595172","https://openalex.org/W2168865746","https://openalex.org/W2169600045","https://openalex.org/W2296319761","https://openalex.org/W2595897327","https://openalex.org/W2899702797","https://openalex.org/W4237841550","https://openalex.org/W4249446031","https://openalex.org/W4250589301","https://openalex.org/W4293052541","https://openalex.org/W4299551239","https://openalex.org/W4391177866","https://openalex.org/W6990023262"],"related_works":["https://openalex.org/W2143551613","https://openalex.org/W4245395944","https://openalex.org/W2168592511","https://openalex.org/W3013395906","https://openalex.org/W2147030611","https://openalex.org/W1976188970","https://openalex.org/W2990541822","https://openalex.org/W1534559501","https://openalex.org/W1588885902","https://openalex.org/W1965352811"],"abstract_inverted_index":{"Cardinality":[0],"estimation":[1,36],"is":[2,16],"the":[3,7,48,60,74,92,104,110,115],"problem":[4,72],"of":[5,9,44,50,57,62,117],"estimating":[6],"number":[8,49,61],"tuples":[10,51,63],"returned":[11,52,64],"by":[12,53,65],"a":[13,17,38,42,54,66],"query;":[14],"it":[15],"fundamentally":[18],"important":[19],"task":[20],"in":[21,25,37],"data":[22],"management,":[23],"used":[24],"query":[26],"optimization,":[27],"progress":[28],"estimation,":[29],"and":[30,86],"resource":[31],"provisioning.":[32],"We":[33,69,89],"study":[34],"cardinality":[35,116],"principled":[39],"framework:":[40],"given":[41],"set":[43,56],"statistical":[45,84],"assertions":[46,85],"about":[47],"fixed":[55],"queries,":[58],"predict":[59],"new":[67],"query.":[68],"model":[70,95,112],"this":[71,91,100],"using":[73],"probability":[75],"space,":[76],"over":[77],"possible":[78],"worlds,":[79],"that":[80],"satisfies":[81],"all":[82],"provided":[83],"maximizes":[87],"entropy.":[88],"call":[90],"Entropy":[93],"Maximization":[94],"for":[96,113],"statistics":[97],"(MaxEnt).":[98],"In":[99],"article":[101],"we":[102],"develop":[103],"mathematical":[105],"techniques":[106],"needed":[107],"to":[108],"use":[109],"MaxEnt":[111],"predicting":[114],"conjunctive":[118],"queries.":[119]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
