{"id":"https://openalex.org/W2344781437","doi":"https://doi.org/10.1145/2834126.2834129","title":"Aggregate k-nearest neighbors queries in time-dependent road networks","display_name":"Aggregate k-nearest neighbors queries in time-dependent road networks","publication_year":2015,"publication_date":"2015-11-03","ids":{"openalex":"https://openalex.org/W2344781437","doi":"https://doi.org/10.1145/2834126.2834129","mag":"2344781437"},"language":"en","primary_location":{"id":"doi:10.1145/2834126.2834129","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2834126.2834129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourth ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems","raw_type":"proceedings-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/A5025371630","display_name":"Camila F. Costa","orcid":"https://orcid.org/0000-0003-2163-8612"},"institutions":[{"id":"https://openalex.org/I243754102","display_name":"Universidade Federal do Cear\u00e1","ror":"https://ror.org/03srtnf24","country_code":"BR","type":"education","lineage":["https://openalex.org/I243754102"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Camila Ferreira Costa","raw_affiliation_strings":["Federal University of Cear\u00e1, Fortaleza, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Cear\u00e1, Fortaleza, Brazil","institution_ids":["https://openalex.org/I243754102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064422885","display_name":"Javam C. Machado","orcid":"https://orcid.org/0000-0002-8430-9421"},"institutions":[{"id":"https://openalex.org/I243754102","display_name":"Universidade Federal do Cear\u00e1","ror":"https://ror.org/03srtnf24","country_code":"BR","type":"education","lineage":["https://openalex.org/I243754102"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Javam Machado","raw_affiliation_strings":["Federal University of Cear\u00e1, Fortaleza, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Cear\u00e1, Fortaleza, Brazil","institution_ids":["https://openalex.org/I243754102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014272131","display_name":"M\u00e1rio A. Nascimento","orcid":"https://orcid.org/0000-0002-7609-1805"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mario A. Nascimento","raw_affiliation_strings":["University of Alberta, Edmonton, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065118727","display_name":"Jos\u00e9 Ant\u00f4nio Fernandes de Mac\u00eado","orcid":"https://orcid.org/0000-0002-0661-2978"},"institutions":[{"id":"https://openalex.org/I243754102","display_name":"Universidade Federal do Cear\u00e1","ror":"https://ror.org/03srtnf24","country_code":"BR","type":"education","lineage":["https://openalex.org/I243754102"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 A. F. Mac\u00eado","raw_affiliation_strings":["Federal University of Cear\u00e1, Fortaleza, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Cear\u00e1, Fortaleza, Brazil","institution_ids":["https://openalex.org/I243754102"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5799,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70745874,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9930999875068665,"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"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/aggregate","display_name":"Aggregate (composite)","score":0.8605350255966187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7222607731819153},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.7204950451850891},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.578641414642334},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5212774276733398},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.520671010017395},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4798016846179962},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4638040065765381},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.45210903882980347},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44862818717956543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1692022681236267},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15704375505447388}],"concepts":[{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.8605350255966187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7222607731819153},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.7204950451850891},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.578641414642334},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5212774276733398},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.520671010017395},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4798016846179962},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4638040065765381},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.45210903882980347},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44862818717956543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1692022681236267},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15704375505447388},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2834126.2834129","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2834126.2834129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourth ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W153395628","https://openalex.org/W154362522","https://openalex.org/W1515663700","https://openalex.org/W1561880138","https://openalex.org/W1598574336","https://openalex.org/W1841647363","https://openalex.org/W1977390158","https://openalex.org/W1990017533","https://openalex.org/W2000879295","https://openalex.org/W2004249363","https://openalex.org/W2052607641","https://openalex.org/W2089338760","https://openalex.org/W2112513979","https://openalex.org/W2131796944","https://openalex.org/W2136046112","https://openalex.org/W2139539283","https://openalex.org/W2143709779","https://openalex.org/W2157092487","https://openalex.org/W2169336598","https://openalex.org/W3214994859"],"related_works":["https://openalex.org/W2067317451","https://openalex.org/W4211085505","https://openalex.org/W2154771632","https://openalex.org/W2084758217","https://openalex.org/W3122478268","https://openalex.org/W408804804","https://openalex.org/W3086365953","https://openalex.org/W4226072953","https://openalex.org/W2392606101","https://openalex.org/W2134259672"],"abstract_inverted_index":{"In":[0,178],"this":[1],"paper":[2],"we":[3,51,184],"present":[4],"an":[5,27,46],"algorithm":[6,157,190],"for":[7],"processing":[8],"aggregate":[9,47,94,146,195],"nearest":[10,95,147,196],"neighbor":[11,96,148,197],"queries":[12],"in":[13],"time-dependent":[14,93],"road":[15,20,71,136,211],"networks,":[16,137],"i.e.,":[17],"given":[18,75],"a":[19,31,37,69,74,79,90,131,209],"network":[21,72,212],"where":[22],"the":[23,53,58,63,92,99,104,108,123,126,129,155,186,204,225],"travel":[24,60,112,175],"time":[25,61,77],"over":[26],"edge":[28],"is":[29,122,152],"time-dependent,":[30],"set":[32,38],"of":[33,39,41,81,110,119,125,128,134],"query":[34,64],"points":[35,40],"Q,":[36],"interest":[42],"(POIs)":[43],"P":[44],"and":[45,78,163],"function":[48],"(e.g.,":[49],"sum),":[50],"find":[52],"k":[54],"POIs":[55],"that":[56,106],"minimize":[57],"aggregated":[59],"from":[62],"points.":[65],"For":[66],"instance,":[67],"considering":[68,98],"city's":[70],"at":[73,83,89,192],"departure":[76],"group":[80],"friends":[82],"different":[84],"locations":[85],"wishing":[86],"to":[87,114,172,180,201,218,221],"meet":[88],"restaurant,":[91],"query,":[97],"sum":[100,109],"function,":[101],"would":[102],"return":[103],"restaurant":[105],"minimizes":[107],"all":[111],"times":[113,176],"it.":[115],"The":[116],"main":[117],"contribution":[118],"our":[120,182,215],"work":[121],"consideration":[124],"time-dependency":[127],"network,":[130],"realistic":[132],"characteristic":[133],"urban":[135],"which":[138],"has":[139],"not":[140],"been":[141],"considered":[142],"previously":[143,187],"when":[144],"addressing":[145],"queries.":[149],"Our":[150,206],"approach":[151],"based":[153],"on":[154],"ANNQPLB":[156,189],"proposed":[158,167,188,216],"by":[159,168],"Htoo":[160],"et":[161,170],"al.":[162],"uses":[164],"Hub":[165],"Labels,":[166],"Abraham":[169],"al.,":[171],"compute":[173],"optimistic":[174],"efficiently.":[177],"order":[179],"compare":[181],"proposal":[183],"extended":[185,227],"aimed":[191],"non-time":[193],"dependent":[194],"queries,":[198],"enabling":[199],"it":[200],"deal":[202],"with":[203],"time-dependency.":[205],"experiments":[207],"using":[208],"real":[210],"have":[213],"shown":[214],"solution":[217],"be":[219],"up":[220],"94%":[222],"faster":[223],"than":[224],"temporally":[226],"previous":[228],"solution.":[229]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
