{"id":"https://openalex.org/W2127003315","doi":"https://doi.org/10.1109/icde.2003.1260792","title":"Efficient maintenance of materialized top-k views","display_name":"Efficient maintenance of materialized top-k views","publication_year":2004,"publication_date":"2004-05-13","ids":{"openalex":"https://openalex.org/W2127003315","doi":"https://doi.org/10.1109/icde.2003.1260792","mag":"2127003315"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2003.1260792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2003.1260792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 19th International Conference on Data Engineering (Cat. No.03CH37405)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5009196125","display_name":"Ke Yi","orcid":"https://orcid.org/0000-0002-2178-3716"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ke Yi","raw_affiliation_strings":["Department of Computer Science, Duke University, USA","Dept. of Comput. Sci., Duke Univ., Durham, NC, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Duke University, USA","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Duke Univ., Durham, NC, USA#TAB#","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088617390","display_name":"Hai Yu","orcid":"https://orcid.org/0000-0002-1840-8835"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hai Yu","raw_affiliation_strings":["Department of Computer Science, Duke University, USA","Dept. of Comput. Sci., Duke Univ., Durham, NC, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Duke University, USA","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Duke Univ., Durham, NC, USA#TAB#","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058999081","display_name":"Jun Yang","orcid":"https://orcid.org/0000-0001-6615-3139"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Yang","raw_affiliation_strings":["Department of Computer Science, Duke University, USA","Dept. of Comput. Sci., Duke Univ., Durham, NC, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Duke University, USA","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Duke Univ., Durham, NC, USA#TAB#","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022806338","display_name":"Gangqiang Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]},{"id":"https://openalex.org/I4210133369","display_name":"Decision Sciences (United States)","ror":"https://ror.org/03gcvf773","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133369"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gangqiang Xia","raw_affiliation_strings":["Institute of Statistics and Decision Sciences, Duke University, USA","[Institute of Statistics and Decision Sciences, Duke University, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Statistics and Decision Sciences, Duke University, USA","institution_ids":["https://openalex.org/I170897317","https://openalex.org/I4210133369"]},{"raw_affiliation_string":"[Institute of Statistics and Decision Sciences, Duke University, USA]","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101687012","display_name":"Yuguo Chen","orcid":"https://orcid.org/0000-0001-7148-1823"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]},{"id":"https://openalex.org/I4210133369","display_name":"Decision Sciences (United States)","ror":"https://ror.org/03gcvf773","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133369"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuguo Chen","raw_affiliation_strings":["Institute of Statistics and Decision Sciences, Duke University, USA","[Institute of Statistics and Decision Sciences, Duke University, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Statistics and Decision Sciences, Duke University, USA","institution_ids":["https://openalex.org/I170897317","https://openalex.org/I4210133369"]},{"raw_affiliation_string":"[Institute of Statistics and Decision Sciences, Duke University, USA]","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":92,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"189","last_page":"200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9969000220298767,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9969000220298767,"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.9936000108718872,"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/T11478","display_name":"Caching and Content Delivery","score":0.9901999831199646,"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/materialized-view","display_name":"Materialized view","score":0.9007645845413208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8290872573852539},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.7461996674537659},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.6833070516586304},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.6269319653511047},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5653819441795349},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.41565656661987305},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.35833048820495605},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34094494581222534},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3323933780193329},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32296979427337646},{"id":"https://openalex.org/keywords/view","display_name":"View","score":0.19429537653923035},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1345621943473816},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.1216210126876831},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1212841272354126}],"concepts":[{"id":"https://openalex.org/C98199447","wikidata":"https://www.wikidata.org/wiki/Q2445044","display_name":"Materialized view","level":4,"score":0.9007645845413208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8290872573852539},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.7461996674537659},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.6833070516586304},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.6269319653511047},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5653819441795349},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.41565656661987305},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.35833048820495605},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34094494581222534},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3323933780193329},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32296979427337646},{"id":"https://openalex.org/C54239708","wikidata":"https://www.wikidata.org/wiki/Q1329910","display_name":"View","level":3,"score":0.19429537653923035},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1345621943473816},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.1216210126876831},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1212841272354126},{"id":"https://openalex.org/C148840519","wikidata":"https://www.wikidata.org/wiki/Q1049878","display_name":"Database design","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1109/icde.2003.1260792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2003.1260792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 19th International Conference on Data Engineering (Cat. No.03CH37405)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.113.1934","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.113.1934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.duke.edu/dbgroup/papers/2003-yyyxc-topk.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.116.4782","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.116.4782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.stat.uiuc.edu/~yuguo/pub/icde03.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.136.5442","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.136.5442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.ust.hk/~yike/topk/topk.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.144.7336","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.144.7336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cse.ust.hk/~yike/topk/icde03.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.57.7167","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.57.7167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.duke.edu/~junyang/papers/yyyxc-topk.ps","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.93.3299","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.93.3299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.duke.edu/~fishhai/research/topk/topk.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W105408422","https://openalex.org/W1483342375","https://openalex.org/W1488870204","https://openalex.org/W1495105959","https://openalex.org/W1498631884","https://openalex.org/W1523736481","https://openalex.org/W1562880585","https://openalex.org/W1571281542","https://openalex.org/W1812691494","https://openalex.org/W1928358804","https://openalex.org/W1968210840","https://openalex.org/W2023135717","https://openalex.org/W2034347604","https://openalex.org/W2046713587","https://openalex.org/W2051768731","https://openalex.org/W2083039049","https://openalex.org/W2100758984","https://openalex.org/W2103012681","https://openalex.org/W2127003315","https://openalex.org/W2133900260","https://openalex.org/W2134195632","https://openalex.org/W2134206624","https://openalex.org/W2137935534","https://openalex.org/W2148322068","https://openalex.org/W2160825121","https://openalex.org/W2221389368","https://openalex.org/W2414883570","https://openalex.org/W2666600683","https://openalex.org/W4233413206","https://openalex.org/W4254357460","https://openalex.org/W4285719527","https://openalex.org/W4298295580","https://openalex.org/W6628966482","https://openalex.org/W6629052763","https://openalex.org/W6629505283","https://openalex.org/W6675085527","https://openalex.org/W6679221839","https://openalex.org/W6679629005","https://openalex.org/W6680336130"],"related_works":["https://openalex.org/W2162280381","https://openalex.org/W2185691065","https://openalex.org/W2363712075","https://openalex.org/W2383931363","https://openalex.org/W2348265434","https://openalex.org/W2108498730","https://openalex.org/W2142569422","https://openalex.org/W2087983779","https://openalex.org/W152305489","https://openalex.org/W1635132392"],"abstract_inverted_index":{"We":[0,78,110,191],"tackle":[1],"the":[2,48,55,63,71,76,84,121,133,144,148,152,157,161,167,175,202],"problem":[3],"of":[4,86,94,125,139,150,164,174],"maintaining":[5,89,165],"materialized":[6,30],"top-k":[7,26,64,96,168],"views.":[8],"Top-k":[9],"queries,":[10],"including":[11],"MIN":[12],"and":[13,52,105,147,155,206],"MAX":[14],"as":[15],"important":[16],"special":[17],"cases,":[18,116],"occur":[19],"frequently":[20],"in":[21,36,47,67,113,184],"common":[22],"database":[23],"workloads.":[24],"A":[25],"view":[27,92,134,169],"can":[28,119,180],"be":[29],"to":[31,61,74,128,194,199,201],"improve":[32],"query":[33],"performance,":[34],"but":[35],"general":[37],"it":[38,43],"is":[39],"not":[40],"self-maintainable":[41],"unless":[42],"contains":[44],"all":[45],"tuples":[46,60],"base":[49,56,72,153,176],"table.":[50],"Deletions":[51],"updates":[53],"on":[54,143],"table":[57,73,154],"may":[58],"cause":[59],"leave":[62],"view,":[65,97],"resulting":[66],"expensive":[68],"queries":[69,127],"over":[70],"\"refill\"":[75],"view.":[77,158],"propose":[79],"an":[80],"algorithm":[81,118,179],"that":[82,112],"reduces":[83],"frequency":[85],"refills":[87],"by":[88],"a":[90,95,172],"top-k'":[91],"instead":[93],"where":[98],"k'":[99],"changes":[100],"at":[101,208],"runtime":[102],"between":[103],"k":[104],"some":[106],"k/sub":[107,140,188,196],"max//spl":[108],"ges/k.":[109],"show":[111,192],"most":[114],"practical":[115],"our":[117,178],"reduce":[120],"expected":[122],"amortized":[123],"cost":[124],"refill":[126],"O(1)":[129],"while":[130],"still":[131],"keeping":[132],"small.":[135],"The":[136],"optimal":[137],"value":[138],"max/":[141,189,197],"depends":[142],"update":[145],"pattern":[146],"costs":[149],"querying":[151],"updating":[156],"Compared":[159],"with":[160,186],"simple":[162],"approach":[163],"either":[166],"itself":[170],"or":[171],"copy":[173],"table,":[177],"provide":[181],"orders-of-magnitude":[182],"improvements":[183],"performance":[185,207],"appropriate":[187],"values.":[190],"how":[193],"choose":[195],"dynamically":[198],"adapt":[200],"actual":[203],"system":[204],"workload":[205],"runtime,":[209],"without":[210],"requiring":[211],"accurate":[212],"prior":[213],"knowledge.":[214]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}