{"id":"https://openalex.org/W4250212406","doi":"https://doi.org/10.1145/342009.335450","title":"Congressional samples for approximate answering of group-by queries","display_name":"Congressional samples for approximate answering of group-by queries","publication_year":2000,"publication_date":"2000-05-16","ids":{"openalex":"https://openalex.org/W4250212406","doi":"https://doi.org/10.1145/342009.335450"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/342009.335450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5110178618","display_name":"Swarup Acharya","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Swarup Acharya","raw_affiliation_strings":["Information Sciences Research Center, Bell Laboratories, 600 Mountain Avenue, Murray Hill NJ"],"affiliations":[{"raw_affiliation_string":"Information Sciences Research Center, Bell Laboratories, 600 Mountain Avenue, Murray Hill NJ","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014824446","display_name":"Phillip B. Gibbons","orcid":"https://orcid.org/0000-0001-6967-2735"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Phillip B. Gibbons","raw_affiliation_strings":["Information Sciences Research Center, Bell Laboratories, 600 Mountain Avenue, Murray Hill NJ"],"affiliations":[{"raw_affiliation_string":"Information Sciences Research Center, Bell Laboratories, 600 Mountain Avenue, Murray Hill NJ","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109558451","display_name":"Viswanath Poosala","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Viswanath Poosala","raw_affiliation_strings":["Information Sciences Research Center, Bell Laboratories, 600 Mountain Avenue, Murray Hill NJ"],"affiliations":[{"raw_affiliation_string":"Information Sciences Research Center, Bell Laboratories, 600 Mountain Avenue, Murray Hill NJ","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.417,"has_fulltext":false,"cited_by_count":123,"citation_normalized_percentile":{"value":0.983649,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"487","last_page":"498"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9999,"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":0.9999,"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":0.9998,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9966,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/sample","display_name":"Sample (material)","score":0.524839}],"concepts":[{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.79428184},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.742013},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.71983176},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.6420065},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.6014939},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.524839},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4645927},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39827868},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18770418},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.09412524},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/342009.335450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":9,"referenced_works":["https://openalex.org/W1993482412","https://openalex.org/W2072764742","https://openalex.org/W2153329411","https://openalex.org/W2171903035","https://openalex.org/W2296677182","https://openalex.org/W4229903866","https://openalex.org/W4234667859","https://openalex.org/W4237172715","https://openalex.org/W4241185933"],"related_works":["https://openalex.org/W4391304167","https://openalex.org/W4245395944","https://openalex.org/W2562731034","https://openalex.org/W2154338319","https://openalex.org/W2143551613","https://openalex.org/W2143345456","https://openalex.org/W2138823233","https://openalex.org/W2136814519","https://openalex.org/W1979740464","https://openalex.org/W1789991335"],"abstract_inverted_index":{"In":[0],"large":[1],"data":[2,32,59,76,87],"warehousing":[3],"environments,":[4],"it":[5],"is":[6],"often":[7],"advantageous":[8],"to":[9,14],"provide":[10],"fast,":[11],"approximate":[12,67],"answers":[13,68],"complex":[15],"decision":[16],"support":[17,27],"queries":[18,28],"using":[19],"precomputed":[20],"summary":[21],"statistics,":[22],"such":[23,90],"as":[24],"samples.":[25],"Decision":[26],"routinely":[29],"segment":[30],"the":[31,38,47,56,75,96],"into":[33],"groups":[34,83,91],"and":[35],"then":[36],"aggregate":[37],"information":[39],"in":[40,61,79,95],"each":[41,62],"group":[42],"(group-by":[43],"queries).":[44],"Depending":[45],"on":[46,70],"data,":[48],"there":[49],"can":[50,77],"be":[51,93],"a":[52,65],"wide":[53],"disparity":[54],"between":[55],"number":[57],"of":[58,74],"items":[60],"group.":[63],"As":[64],"result,":[66],"based":[69],"uniform":[71],"random":[72],"samples":[73],"result":[78],"poor":[80],"accuracy":[81],"for":[82],"with":[84],"very":[85,99],"few":[86,100],"items,":[88],"since":[89],"will":[92],"represented":[94],"sample":[97],"by":[98],"(often":[101],"zero)":[102],"tuples.":[103]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4250212406","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":4}],"updated_date":"2025-01-17T04:02:48.624994","created_date":"2022-05-12"}