{"id":"https://openalex.org/W2405828107","doi":"https://doi.org/10.3233/978-1-61499-262-2-1","title":"Supporting Sum Range Queries on Remote Spatial Databases Using k-Nearest Neighbor Search","display_name":"Supporting Sum Range Queries on Remote Spatial Databases Using k-Nearest Neighbor Search","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2405828107","doi":"https://doi.org/10.3233/978-1-61499-262-2-1","mag":"2405828107"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-262-2-1","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-262-2-1","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5102911525","display_name":"Hideki Sato","orcid":"https://orcid.org/0009-0000-6418-4222"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sato Hideki","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5116359050","display_name":"Narita Ryoichi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Narita Ryoichi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2717921,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9879999756813049,"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":0.9679999947547913,"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/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.7283231616020203},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.6218085289001465},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.6196793913841248},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.5346367359161377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5335066318511963},{"id":"https://openalex.org/keywords/best-bin-first","display_name":"Best bin first","score":0.4884273111820221},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43792983889579773},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35352978110313416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15274089574813843},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.12129166722297668}],"concepts":[{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.7283231616020203},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.6218085289001465},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.6196793913841248},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5346367359161377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5335066318511963},{"id":"https://openalex.org/C161986146","wikidata":"https://www.wikidata.org/wiki/Q4896845","display_name":"Best bin first","level":3,"score":0.4884273111820221},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43792983889579773},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35352978110313416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15274089574813843},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.12129166722297668},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-262-2-1","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-262-2-1","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2381195555","https://openalex.org/W2182477562","https://openalex.org/W2148008870","https://openalex.org/W4246757943","https://openalex.org/W2085998272","https://openalex.org/W1595303882","https://openalex.org/W1558159560","https://openalex.org/W2368606575","https://openalex.org/W2351157934","https://openalex.org/W2375128115"],"abstract_inverted_index":{"Supporting":[0],"aggregate":[1,47],"range":[2,48,76],"queries":[3,43],"on":[4,74],"remote":[5],"spatial":[6],"databases":[7],"suffers":[8],"from":[9],"1)":[10],"huge":[11],"and/or":[12],"large":[13],"number":[14],"of":[15,21,41,54,63,102],"databases,":[16],"and":[17,94,108,114,117],"2)":[18],"limited":[19],"type":[20],"access":[22],"interfaces.":[23],"This":[24],"paper":[25],"proposes":[26],"Regular":[27],"Polygon":[28],"based":[29],"Search":[30],"Algorithm":[31],"(RPSA)":[32],"to":[33,44,112],"overcome":[34],"these":[35],"difficulties.":[36],"RPSA":[37],"requests":[38],"a":[39,55,64,69],"series":[40],"k-NN":[42,57],"obtain":[45],"approximate":[46],"query":[49,52,58,77],"results.":[50],"The":[51],"point":[53],"subsequent":[56],"is":[59,82],"chosen":[60],"among":[61],"vertices":[62],"regular":[65],"polygon":[66],"inscribed":[67],"in":[68],"before-searched":[70],"circle.":[71],"Experimental":[72],"results":[73],"sum":[75],"search":[78],"show":[79],"that":[80],"Precision":[81],"over":[83,89,95],"0.99":[84],"for":[85,91,97],"uniformly":[86],"distributed":[87],"dataset,":[88,93],"0.97":[90,96],"skew-distributed":[92],"real":[98],"dataset.":[99],"Also,":[100],"Number":[101],"Requests":[103],"(NOR)":[104],"ranges":[105],"between":[106,110,115],"3.1":[107],"3.9,":[109],"3.4":[111],"4.3,":[113],"2.7":[116],"3.7,":[118],"respectively.":[119]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}