{"id":"https://openalex.org/W4387068027","doi":"https://doi.org/10.1109/tetc.2023.3317393","title":"Quadtree-Based Adaptive Spatial Decomposition for Range Queries Under Local Differential Privacy","display_name":"Quadtree-Based Adaptive Spatial Decomposition for Range Queries Under Local Differential Privacy","publication_year":2023,"publication_date":"2023-09-26","ids":{"openalex":"https://openalex.org/W4387068027","doi":"https://doi.org/10.1109/tetc.2023.3317393"},"language":"en","primary_location":{"id":"doi:10.1109/tetc.2023.3317393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetc.2023.3317393","pdf_url":null,"source":{"id":"https://openalex.org/S2496326734","display_name":"IEEE Transactions on Emerging Topics in Computing","issn_l":"2168-6750","issn":["2168-6750","2376-4562"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computing","raw_type":"journal-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/A5004393034","display_name":"Huiwei Wang","orcid":"https://orcid.org/0000-0002-7024-4153"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huiwei Wang","raw_affiliation_strings":["College of Electronic and Information Engineering, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-7024-4153","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103103870","display_name":"Yaqian Huang","orcid":"https://orcid.org/0000-0002-1121-2928"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaqian Huang","raw_affiliation_strings":["College of Electronic and Information Engineering, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-1121-2928","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000100573","display_name":"Huaqing Li","orcid":"https://orcid.org/0000-0001-6310-8965"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaqing Li","raw_affiliation_strings":["College of Electronic and Information Engineering, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-6310-8965","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004393034"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":1.1574,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.7693087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"11","issue":"4","first_page":"1045","last_page":"1056"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9898999929428101,"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"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9898999929428101,"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/T11106","display_name":"Data Management and Algorithms","score":0.963699996471405,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9596999883651733,"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/quadtree","display_name":"Quadtree","score":0.9708396792411804},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8383625149726868},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.6328538060188293},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.6093570590019226},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5464563965797424},{"id":"https://openalex.org/keywords/range-query","display_name":"Range query (database)","score":0.5398485064506531},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5304296016693115},{"id":"https://openalex.org/keywords/space-partitioning","display_name":"Space partitioning","score":0.5172915458679199},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4917064309120178},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44452473521232605},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.4238077700138092},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4236030876636505},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.42064422369003296},{"id":"https://openalex.org/keywords/division","display_name":"Division (mathematics)","score":0.4170233905315399},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4108409881591797},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32043784856796265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24078071117401123},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1730996072292328},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.14102059602737427},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.10540050268173218},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09913352131843567},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09703531861305237},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09054577350616455},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.07970795035362244}],"concepts":[{"id":"https://openalex.org/C151416825","wikidata":"https://www.wikidata.org/wiki/Q934791","display_name":"Quadtree","level":2,"score":0.9708396792411804},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8383625149726868},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.6328538060188293},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.6093570590019226},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5464563965797424},{"id":"https://openalex.org/C136736807","wikidata":"https://www.wikidata.org/wiki/Q818943","display_name":"Range query (database)","level":5,"score":0.5398485064506531},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5304296016693115},{"id":"https://openalex.org/C13670688","wikidata":"https://www.wikidata.org/wiki/Q3500548","display_name":"Space partitioning","level":2,"score":0.5172915458679199},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4917064309120178},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44452473521232605},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.4238077700138092},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4236030876636505},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.42064422369003296},{"id":"https://openalex.org/C60798267","wikidata":"https://www.wikidata.org/wiki/Q1226939","display_name":"Division (mathematics)","level":2,"score":0.4170233905315399},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4108409881591797},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32043784856796265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24078071117401123},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1730996072292328},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.14102059602737427},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.10540050268173218},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09913352131843567},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09703531861305237},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09054577350616455},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.07970795035362244},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetc.2023.3317393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetc.2023.3317393","pdf_url":null,"source":{"id":"https://openalex.org/S2496326734","display_name":"IEEE Transactions on Emerging Topics in Computing","issn_l":"2168-6750","issn":["2168-6750","2376-4562"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4116640540","display_name":null,"funder_award_id":"2022M720453","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1536002051","https://openalex.org/W1968752677","https://openalex.org/W1981029888","https://openalex.org/W1986293063","https://openalex.org/W2013823004","https://openalex.org/W2024021429","https://openalex.org/W2057576485","https://openalex.org/W2119885577","https://openalex.org/W2159024459","https://openalex.org/W2236011587","https://openalex.org/W2245160765","https://openalex.org/W2421389337","https://openalex.org/W2613772183","https://openalex.org/W2769903624","https://openalex.org/W2773252840","https://openalex.org/W2785629512","https://openalex.org/W2794674331","https://openalex.org/W2898288652","https://openalex.org/W2911978475","https://openalex.org/W2946339087","https://openalex.org/W2946583368","https://openalex.org/W2963629772","https://openalex.org/W2964881778","https://openalex.org/W2969716496","https://openalex.org/W2995099441","https://openalex.org/W2996145745","https://openalex.org/W3003711968","https://openalex.org/W3035438526","https://openalex.org/W3046314778","https://openalex.org/W3102834148","https://openalex.org/W3102859907","https://openalex.org/W3111259855","https://openalex.org/W3138384474","https://openalex.org/W4242599275","https://openalex.org/W4247163280","https://openalex.org/W4293057271","https://openalex.org/W6737944770","https://openalex.org/W6744220956","https://openalex.org/W6763115648"],"related_works":["https://openalex.org/W4288280755","https://openalex.org/W3211363117","https://openalex.org/W2963132290","https://openalex.org/W3205933106","https://openalex.org/W2549301014","https://openalex.org/W2070508857","https://openalex.org/W2993347867","https://openalex.org/W2091395069","https://openalex.org/W606992069","https://openalex.org/W4387068027"],"abstract_inverted_index":{"Nowadays,":[0],"researchers":[1],"have":[2],"shown":[3],"significant":[4],"interest":[5],"in":[6,49,139,155],"geographic":[7],"location-based":[8],"spatial":[9,98,142],"data":[10,40,99],"analysis":[11],"due":[12],"to":[13,37,69,96],"its":[14],"wide":[15],"range":[16,27],"of":[17,23,118,124,137,157],"application":[18],"scenarios.":[19],"However,":[20],"the":[21,24,33,39,45,50,55,79,101,112,135],"accuracy":[22,159],"grid-based":[25],"quadtree":[26],"query":[28],"(GT-R)":[29],"algorithm,":[30],"which":[31,67],"utilizes":[32],"uniform":[34],"grid":[35,58],"method":[36],"divide":[38],"space,":[41],"is":[42],"compromised":[43],"by":[44],"excessive":[46],"noise":[47],"introduced":[48],"divided":[51],"area.":[52],"In":[53],"addition,":[54],"private":[56],"adaptive":[57],"(PrivAG)":[59],"algorithm":[60],"does":[61],"not":[62],"adopt":[63],"any":[64],"index":[65],"structure,":[66,114],"leads":[68],"inefficient":[70],"query.":[71],"To":[72],"address":[73],"above":[74],"issues,":[75],"this":[76],"paper":[77],"presents":[78],"Quadtree-based":[80],"Adaptive":[81],"Spatial":[82],"Decomposition":[83],"(ASDQT)":[84],"algorithm.":[85],"ASDQT":[86,109,138,151],"leverages":[87],"reservoir":[88],"sampling":[89],"technology":[90],"under":[91],"local":[92],"differential":[93],"privacy":[94],"(LDP)":[95],"extract":[97],"as":[100],"segmentation":[102],"object.":[103],"By":[104],"setting":[105],"a":[106],"reasonable":[107],"threshold,":[108],"dynamically":[110],"constructs":[111],"tree":[113],"enabling":[115],"coarse-grained":[116],"division":[117,123],"sparse":[119],"regions":[120],"and":[121,160],"fine-grained":[122],"dense":[125],"regions.":[126],"Extensive":[127],"experiments":[128],"conducted":[129],"on":[130],"two":[131],"real-world":[132],"datasets":[133,143],"demonstrate":[134],"efficacy":[136],"handling":[140],"large-scale":[141],"with":[144],"different":[145],"distributions.":[146],"The":[147],"results":[148],"indicate":[149],"that":[150],"outperforms":[152],"existing":[153],"methods":[154],"terms":[156],"both":[158],"running":[161],"efficiency.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
