{"id":"https://openalex.org/W3031027878","doi":"https://doi.org/10.1145/3460121","title":"A Practical Index Structure Supporting Fr\u00e9chet Proximity Queries among Trajectories","display_name":"A Practical Index Structure Supporting Fr\u00e9chet Proximity Queries among Trajectories","publication_year":2021,"publication_date":"2021-06-14","ids":{"openalex":"https://openalex.org/W3031027878","doi":"https://doi.org/10.1145/3460121","mag":"3031027878"},"language":"en","primary_location":{"id":"doi:10.1145/3460121","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460121","pdf_url":null,"source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"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 Spatial Algorithms and Systems","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2005.13773","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087003217","display_name":"Joachim Gudmundsson","orcid":"https://orcid.org/0000-0002-6778-7990"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Joachim Gudmundsson","raw_affiliation_strings":["School of Computer Science, University of Sydney, Australia","University of Sydney"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"University of Sydney","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046704426","display_name":"Michael Horton","orcid":"https://orcid.org/0000-0001-6388-9634"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael Horton","raw_affiliation_strings":["SPORTLOGiQ Inc., Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SPORTLOGiQ Inc., Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047610257","display_name":"John Pfeifer","orcid":"https://orcid.org/0000-0001-5286-2604"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"John Pfeifer","raw_affiliation_strings":["School of Computer Science, University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040791128","display_name":"Martin P. Seybold","orcid":"https://orcid.org/0000-0001-6901-3035"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Martin P. Seybold","raw_affiliation_strings":["School of Computer Science, University of Sydney, Australia","University of Sydney"],"raw_orcid":"https://orcid.org/0000-0001-6901-3035","affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"University of Sydney","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087003217"],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":null,"apc_paid":null,"fwci":0.3084,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50501739,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"7","issue":"3","first_page":"1","last_page":"33"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9833999872207642,"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"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9829999804496765,"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/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.7565557956695557},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7510195374488831},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.7222881317138672},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6267222762107849},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5952333807945251},{"id":"https://openalex.org/keywords/cover-tree","display_name":"Cover tree","score":0.5877935886383057},{"id":"https://openalex.org/keywords/metric-space","display_name":"Metric space","score":0.5846250653266907},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5720950961112976},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5641151070594788},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5548290014266968},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5131424069404602},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4998433589935303},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.49764516949653625},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4818740785121918},{"id":"https://openalex.org/keywords/range-query","display_name":"Range query (database)","score":0.46108999848365784},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.44989603757858276},{"id":"https://openalex.org/keywords/best-bin-first","display_name":"Best bin first","score":0.441572368144989},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.43500617146492004},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.42521291971206665},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.42318424582481384},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4067673981189728},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3485509157180786},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32268476486206055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14745134115219116},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.12951740622520447},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11617499589920044},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.1110316812992096},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.09510767459869385},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.07698759436607361}],"concepts":[{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.7565557956695557},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7510195374488831},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.7222881317138672},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6267222762107849},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5952333807945251},{"id":"https://openalex.org/C53661774","wikidata":"https://www.wikidata.org/wiki/Q13108095","display_name":"Cover tree","level":5,"score":0.5877935886383057},{"id":"https://openalex.org/C198043062","wikidata":"https://www.wikidata.org/wiki/Q180953","display_name":"Metric space","level":2,"score":0.5846250653266907},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5720950961112976},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5641151070594788},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5548290014266968},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5131424069404602},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4998433589935303},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.49764516949653625},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4818740785121918},{"id":"https://openalex.org/C136736807","wikidata":"https://www.wikidata.org/wiki/Q818943","display_name":"Range query (database)","level":5,"score":0.46108999848365784},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.44989603757858276},{"id":"https://openalex.org/C161986146","wikidata":"https://www.wikidata.org/wiki/Q4896845","display_name":"Best bin first","level":3,"score":0.441572368144989},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.43500617146492004},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.42521291971206665},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.42318424582481384},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4067673981189728},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3485509157180786},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32268476486206055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14745134115219116},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.12951740622520447},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11617499589920044},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.1110316812992096},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.09510767459869385},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.07698759436607361},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3460121","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460121","pdf_url":null,"source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"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 Spatial Algorithms and Systems","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2005.13773","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.13773","pdf_url":"https://arxiv.org/pdf/2005.13773","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"mag:3031027878","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2005.13773.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2005.13773","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2005.13773","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2005.13773","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.13773","pdf_url":"https://arxiv.org/pdf/2005.13773","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1503513951","https://openalex.org/W1534707121","https://openalex.org/W1541459201","https://openalex.org/W1556653975","https://openalex.org/W1562753845","https://openalex.org/W1671942308","https://openalex.org/W1968440069","https://openalex.org/W1973264045","https://openalex.org/W1981934656","https://openalex.org/W1986272233","https://openalex.org/W2012636237","https://openalex.org/W2026126704","https://openalex.org/W2031674781","https://openalex.org/W2034188144","https://openalex.org/W2038044292","https://openalex.org/W2038142281","https://openalex.org/W2045134120","https://openalex.org/W2047866469","https://openalex.org/W2049644877","https://openalex.org/W2060978628","https://openalex.org/W2064671795","https://openalex.org/W2091921805","https://openalex.org/W2091967195","https://openalex.org/W2097921974","https://openalex.org/W2116264435","https://openalex.org/W2118269922","https://openalex.org/W2121770144","https://openalex.org/W2124299914","https://openalex.org/W2127248062","https://openalex.org/W2128953738","https://openalex.org/W2133296809","https://openalex.org/W2147880780","https://openalex.org/W2160411050","https://openalex.org/W2162911459","https://openalex.org/W2165232124","https://openalex.org/W2165558283","https://openalex.org/W2169036209","https://openalex.org/W2172041433","https://openalex.org/W2175288397","https://openalex.org/W2247869955","https://openalex.org/W2256871140","https://openalex.org/W2292151842","https://openalex.org/W2412860234","https://openalex.org/W2515424785","https://openalex.org/W2568308068","https://openalex.org/W2588593795","https://openalex.org/W2588820692","https://openalex.org/W2597017779","https://openalex.org/W2621067451","https://openalex.org/W2744006307","https://openalex.org/W2751600782","https://openalex.org/W2773593212","https://openalex.org/W2779088922","https://openalex.org/W2779456973","https://openalex.org/W2779876493","https://openalex.org/W2788243003","https://openalex.org/W2807957939","https://openalex.org/W2901104719","https://openalex.org/W2907168943","https://openalex.org/W3105607278","https://openalex.org/W3109621394","https://openalex.org/W4210464058","https://openalex.org/W4242599275","https://openalex.org/W4252901801","https://openalex.org/W6692201602"],"related_works":["https://openalex.org/W2914460197","https://openalex.org/W3212190914","https://openalex.org/W2058273155","https://openalex.org/W2031043614","https://openalex.org/W1483697143","https://openalex.org/W2062618908","https://openalex.org/W2000480596","https://openalex.org/W2039067876","https://openalex.org/W2157956941","https://openalex.org/W2802112837","https://openalex.org/W2157727297","https://openalex.org/W2900633893","https://openalex.org/W2883898170","https://openalex.org/W3109426791","https://openalex.org/W2061491086","https://openalex.org/W1006568561","https://openalex.org/W2335476660","https://openalex.org/W1967280264","https://openalex.org/W2729220660","https://openalex.org/W3173498609"],"abstract_inverted_index":{"We":[0,83,127],"present":[1,84],"a":[2,32],"scalable":[3],"approach":[4],"for":[5,27,65,112,117,122,152,161],"range":[6],"and":[7,92,107,119,131,142,155],"k":[8],"nearest":[9],"neighbor":[10],"queries":[11,162,174],"under":[12],"computationally":[13],"expensive":[14],"metrics,":[15],"like":[16],"the":[17,41,47,52,71,124,129,169],"continuous":[18],"Fr\u00e9chet":[19],"distance":[20,72,105,182],"on":[21,25,89,139,175],"trajectory":[22],"data.":[23],"Based":[24],"clustering":[26],"metric":[28,77,113],"indexes,":[29],"we":[30],"obtain":[31],"dynamic":[33],"tree":[34],"structure":[35],"whose":[36],"size":[37],"is":[38,74],"linear":[39],"in":[40],"number":[42],"of":[43,46,63,133,171],"trajectories,":[44],"regardless":[45],"trajectory\u2019s":[48],"individual":[49],"sizes":[50],"or":[51,102],"spatial":[53],"dimension,":[54],"which":[55],"allows":[56],"one":[57],"to":[58],"exploit":[59],"low":[60],"\u201cintrinsic":[61],"dimensionality\u201d":[62],"datasets":[64,177],"effective":[66],"search":[67,109],"space":[68],"pruning.":[69],"Since":[70],"computation":[73],"expensive,":[75],"generic":[76],"indexing":[78],"methods":[79,135,151],"are":[80,159,178],"rendered":[81],"impractical.":[82],"strategies":[85],"that":[86,163],"(i)":[87],"improve":[88],"known":[90],"upper":[91],"lower":[93],"bound":[94],"computations,":[95],"(ii)":[96],"build":[97],"cluster":[98],"trees":[99],"without":[100,180],"any":[101,181],"very":[103],"few":[104],"calls,":[106],"(iii)":[108],"using":[110],"bounds":[111],"pruning,":[114],"interval":[115],"orderings":[116],"reduction,":[118],"randomized":[120],"pivoting":[121],"reporting":[123],"final":[125],"results.":[126,167],"analyze":[128],"efficiency":[130],"effectiveness":[132],"our":[134],"with":[136],"extensive":[137],"experiments":[138],"diverse":[140],"synthetic":[141],"real-world":[143],"datasets.":[144],"The":[145],"results":[146],"show":[147],"improvement":[148],"over":[149],"state-of-the-art":[150],"exact":[153,172],"queries,":[154],"even":[156],"further":[157],"speedups":[158],"achieved":[160],"may":[164],"return":[165],"approximate":[166],"Surprisingly,":[168],"majority":[170],"nearest-neighbor":[173],"real":[176],"answered":[179],"computations.":[183]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}