{"id":"https://openalex.org/W2022501110","doi":"https://doi.org/10.1145/1516360.1516438","title":"Evaluating probability threshold k-nearest-neighbor queries over uncertain data","display_name":"Evaluating probability threshold k-nearest-neighbor queries over uncertain data","publication_year":2009,"publication_date":"2009-03-24","ids":{"openalex":"https://openalex.org/W2022501110","doi":"https://doi.org/10.1145/1516360.1516438","mag":"2022501110"},"language":"en","primary_location":{"id":"doi:10.1145/1516360.1516438","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1516360.1516438","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1516360.1516438","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/1516360.1516438","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005847882","display_name":"Reynold Cheng","orcid":"https://orcid.org/0000-0002-9480-9809"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Reynold Cheng","raw_affiliation_strings":["The University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333516","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0002-8257-5806"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["Hong Kong Univ. of Sci. &amp; Tech","Hong Kong University of Science & Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong Univ. of Sci. &amp; Tech","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Hong Kong University of Science & Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062977790","display_name":"Jinchuan Chen","orcid":"https://orcid.org/0000-0001-6698-3052"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jinchuan Chen","raw_affiliation_strings":["Hong Kong Polytechnic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037366245","display_name":"Xike Xie","orcid":"https://orcid.org/0000-0001-5290-5408"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xike Xie","raw_affiliation_strings":["The University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":77,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"672","last_page":"683"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":1.0,"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":1.0,"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":0.9890000224113464,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7153803110122681},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6756544709205627},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.6498928666114807},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5924312472343445},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5745880603790283},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.4919271469116211},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.46981409192085266},{"id":"https://openalex.org/keywords/uncertain-data","display_name":"Uncertain data","score":0.45650985836982727},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4449109733104706},{"id":"https://openalex.org/keywords/online-aggregation","display_name":"Online aggregation","score":0.43976569175720215},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34952080249786377},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.307995080947876},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.21522638201713562},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.2023109793663025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18135550618171692},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.1517913043498993}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7153803110122681},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6756544709205627},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.6498928666114807},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5924312472343445},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5745880603790283},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.4919271469116211},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.46981409192085266},{"id":"https://openalex.org/C2778865114","wikidata":"https://www.wikidata.org/wiki/Q7882489","display_name":"Uncertain data","level":2,"score":0.45650985836982727},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4449109733104706},{"id":"https://openalex.org/C24028149","wikidata":"https://www.wikidata.org/wiki/Q7094056","display_name":"Online aggregation","level":5,"score":0.43976569175720215},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34952080249786377},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.307995080947876},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.21522638201713562},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.2023109793663025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18135550618171692},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.1517913043498993},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1516360.1516438","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1516360.1516438","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1516360.1516438","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology","raw_type":"proceedings-article"},{"id":"pmh:oai:hub.hku.hk:10722/61146","is_oa":false,"landing_page_url":"http://hdl.handle.net/10722/61146","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference_Paper"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-17526","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-17526","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":{"id":"doi:10.1145/1516360.1516438","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1516360.1516438","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1516360.1516438","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1115352083","display_name":null,"funder_award_id":"HKU 5138/06EHKU 513508HKBU 1/05C","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"},{"id":"https://openalex.org/G2130698152","display_name":null,"funder_award_id":"2.01E+11","funder_id":"https://openalex.org/F4320322170","funder_display_name":"University of Hong Kong"},{"id":"https://openalex.org/G2809769517","display_name":null,"funder_award_id":"1/05C","funder_id":"https://openalex.org/F4320320955","funder_display_name":"Hong Kong Baptist University"},{"id":"https://openalex.org/G3576695292","display_name":null,"funder_award_id":"N_HKUST602/08","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6407153807","display_name":null,"funder_award_id":"N_HKUST602/08","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"},{"id":"https://openalex.org/G8136779429","display_name":"\u57fa\u4e8e\u9690\u5f0f\u53cd\u9988\u548c\u4f2a\u53cd\u9988\u7684XML\u6587\u672c\u6587\u6863\u68c0\u7d22\u6280\u672f\u7814\u7a76","funder_award_id":"60763001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320320955","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"},{"id":"https://openalex.org/F4320322170","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86"},{"id":"https://openalex.org/F4320323537","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2022501110.pdf","grobid_xml":"https://content.openalex.org/works/W2022501110.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W19971480","https://openalex.org/W1482356393","https://openalex.org/W1491547607","https://openalex.org/W1516936742","https://openalex.org/W1796251476","https://openalex.org/W1977848225","https://openalex.org/W2013333366","https://openalex.org/W2041763948","https://openalex.org/W2057552436","https://openalex.org/W2078686663","https://openalex.org/W2088422262","https://openalex.org/W2089959302","https://openalex.org/W2097995023","https://openalex.org/W2099700811","https://openalex.org/W2102960784","https://openalex.org/W2103269600","https://openalex.org/W2103747951","https://openalex.org/W2108009586","https://openalex.org/W2118269922","https://openalex.org/W2118462151","https://openalex.org/W2119493805","https://openalex.org/W2125140425","https://openalex.org/W2125791539","https://openalex.org/W2130873367","https://openalex.org/W2133246278","https://openalex.org/W2138271690","https://openalex.org/W2138414767","https://openalex.org/W2144562386","https://openalex.org/W2165647619","https://openalex.org/W2166916904","https://openalex.org/W2167956717","https://openalex.org/W2169600045","https://openalex.org/W2171776999","https://openalex.org/W4212848460","https://openalex.org/W6672615329","https://openalex.org/W6675943216","https://openalex.org/W6680722260"],"related_works":["https://openalex.org/W3125756434","https://openalex.org/W2006459955","https://openalex.org/W2554271401","https://openalex.org/W2992414350","https://openalex.org/W185198413","https://openalex.org/W203907944","https://openalex.org/W2955368753","https://openalex.org/W1971797742","https://openalex.org/W2034583622","https://openalex.org/W1994290541"],"abstract_inverted_index":{"In":[0,138],"emerging":[1],"applications":[2],"such":[3],"as":[4],"location-based":[5],"services,":[6],"sensor":[7],"monitoring":[8],"and":[9,62,74,185],"biological":[10],"management":[11],"systems,":[12],"the":[13,16,30,37,46,87,106,120,139,151,183,207,240],"values":[14],"of":[15,39,41,55,71,115,153,168,188,242],"database":[17],"items":[18],"are":[19,131,148,177],"naturally":[20],"imprecise.":[21],"For":[22,91],"these":[23,217],"uncertain":[24,225],"databases,":[25],"an":[26,67,146],"important":[27],"query":[28,51,57,121,136],"is":[29,66,77],"Probabilistic":[31,107],"k-Nearest-Neighbor":[32,109],"Query":[33,110],"(k-PNN),":[34],"which":[35,112,181],"computes":[36],"probabilities":[38,123],"sets":[40,114,170,176],"k":[42,72,116],"objects":[43,117,142],"for":[44,179],"being":[45],"closest":[47],"to":[48,133,171,224,238],"a":[49,80,154,166,193],"given":[50],"point.":[52],"The":[53,157,174],"evaluation":[54],"this":[56,135],"can":[58,196,221],"be":[59,84,172,197,204,222],"both":[60],"computationally-":[61],"I/O-expensive,":[63],"since":[64],"there":[65],"exponentially":[68],"large":[69],"number":[70,167],"object-sets,":[73],"numerical":[75],"integration":[76],"required.":[78],"Often":[79],"user":[81],"may":[82,94],"not":[83],"concerned":[85],"about":[86],"exact":[88],"probability":[89,229],"values.":[90],"example,":[92],"he":[93],"only":[95],"need":[96],"answers":[97],"that":[98,118,143,192,215],"have":[99,233],"sufficiently":[100],"high":[101],"confidence.":[102],"We":[103,209,232],"thus":[104],"propose":[105],"Threshold":[108],"(T-k-PNN),":[111],"returns":[113],"satisfy":[119],"with":[122,150,227],"higher":[124],"than":[125],"some":[126],"threshold":[127],"T.":[128],"Three":[129],"steps":[130],"proposed":[132],"handle":[134],"efficiently.":[137],"first":[140],"stage,":[141],"cannot":[144],"constitute":[145],"answer":[147,189],"filtered":[149],"aid":[152],"spatial":[155],"index.":[156],"second":[158],"step,":[159],"called":[160],"probabilistic":[161],"candidate":[162,169,194],"selection,":[163],"significantly":[164],"prunes":[165],"examined.":[173],"remaining":[175],"sent":[178],"verification,":[180],"derives":[182],"lower":[184],"upper":[186],"bounds":[187],"probabilities,":[190],"so":[191],"set":[195],"quickly":[198],"decided":[199],"on":[200],"whether":[201],"it":[202],"should":[203],"included":[205],"in":[206],"answer.":[208],"also":[210,234],"examine":[211,239],"spatially-efficient":[212],"data":[213,226],"structures":[214],"support":[216],"methods.":[218,244],"Our":[219],"solution":[220],"applied":[223],"arbitrary":[228],"density":[230],"functions.":[231],"performed":[235],"extensive":[236],"experiments":[237],"effectiveness":[241],"our":[243]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":11}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2016-06-24T00:00:00"}
