{"id":"https://openalex.org/W2145344816","doi":"https://doi.org/10.1109/icde.2011.5767904","title":"Influence zone: Efficiently processing reverse k nearest neighbors queries","display_name":"Influence zone: Efficiently processing reverse k nearest neighbors queries","publication_year":2011,"publication_date":"2011-04-01","ids":{"openalex":"https://openalex.org/W2145344816","doi":"https://doi.org/10.1109/icde.2011.5767904","mag":"2145344816"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2011.5767904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2011.5767904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 27th International Conference on Data Engineering","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/A5047549903","display_name":"Muhammad Aamir Cheema","orcid":"https://orcid.org/0000-0003-2139-9121"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Muhammad Aamir Cheema","raw_affiliation_strings":["University of New South Wales, Australia","the University of New South Wales, Australia#TAB#"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"the University of New South Wales, Australia#TAB#","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079659938","display_name":"Xuemin Lin","orcid":"https://orcid.org/0000-0003-2396-7225"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xuemin Lin","raw_affiliation_strings":["University of New South Wales, Australia","the University of New South Wales, Australia#TAB#"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"the University of New South Wales, Australia#TAB#","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385498","display_name":"Wenjie Zhang","orcid":"https://orcid.org/0000-0001-6572-2600"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wenjie Zhang","raw_affiliation_strings":["University of New South Wales, Australia","the University of New South Wales, Australia#TAB#"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"the University of New South Wales, Australia#TAB#","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100386104","display_name":"Ying Zhang","orcid":"https://orcid.org/0000-0002-2674-1638"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ying Zhang","raw_affiliation_strings":["University of New South Wales, Australia","the University of New South Wales, Australia#TAB#"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"the University of New South Wales, Australia#TAB#","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047549903"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":8.7347,"has_fulltext":false,"cited_by_count":87,"citation_normalized_percentile":{"value":0.98477455,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"577","last_page":"588"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10996","display_name":"Computational Geometry and Mesh Generation","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/snapshot","display_name":"Snapshot (computer storage)","score":0.8424558639526367},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6022351980209351},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5236351490020752},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4718846082687378},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4371604919433594},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4072226881980896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29659295082092285},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2545386552810669},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24080806970596313},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08245524764060974},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.060989975929260254}],"concepts":[{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.8424558639526367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6022351980209351},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5236351490020752},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4718846082687378},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4371604919433594},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4072226881980896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29659295082092285},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2545386552810669},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24080806970596313},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08245524764060974},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.060989975929260254}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icde.2011.5767904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2011.5767904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 27th International Conference on Data Engineering","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.187.2334","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.187.2334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cse.unsw.edu.au/%7Elxue/paper/ICDE11_conf_full_519.pdf","raw_type":"text"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/28956","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/28956","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"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 Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W96373761","https://openalex.org/W1503832576","https://openalex.org/W1520330802","https://openalex.org/W1608524621","https://openalex.org/W2001845525","https://openalex.org/W2005314985","https://openalex.org/W2059132017","https://openalex.org/W2076287166","https://openalex.org/W2100129294","https://openalex.org/W2105830880","https://openalex.org/W2116135393","https://openalex.org/W2117074936","https://openalex.org/W2118269922","https://openalex.org/W2119398588","https://openalex.org/W2123011740","https://openalex.org/W2135994929","https://openalex.org/W2137507206","https://openalex.org/W2139540256","https://openalex.org/W2147817641","https://openalex.org/W2148306163","https://openalex.org/W2911302472","https://openalex.org/W4242599275","https://openalex.org/W4244343699","https://openalex.org/W6603832877","https://openalex.org/W6630038826","https://openalex.org/W6675045236","https://openalex.org/W6680079491","https://openalex.org/W6680186302"],"related_works":["https://openalex.org/W2542847180","https://openalex.org/W3034994054","https://openalex.org/W2155226960","https://openalex.org/W2805712290","https://openalex.org/W2909129499","https://openalex.org/W2761598930","https://openalex.org/W2392087771","https://openalex.org/W2553994394","https://openalex.org/W2356600124","https://openalex.org/W4245782888"],"abstract_inverted_index":{"Given":[0],"a":[1,6,9,136],"set":[2],"of":[3,20,26,31,40,57,144,151,161],"objects":[4,30],"and":[5,59,80,129,148],"query":[7],"q,":[8],"point":[10,50,61],"p":[11],"is":[12,24,44,54,65],"called":[13],"the":[14,27,38,45,55,67,101,107,127,142,145,159],"reverse":[15],"k":[16,28],"nearest":[17],"neighbor":[18],"(RkNN)":[19],"q":[21,23,58],"if":[22],"one":[25],"closest":[29],"p.":[32],"In":[33],"this":[34,52,63],"paper,":[35],"we":[36,95,110],"introduce":[37],"concept":[39],"influence":[41,70,102,108,146],"zone":[42,71,147],"which":[43],"area":[46,53,64,143],"such":[47],"that":[48,118],"every":[49,60],"inside":[51],"RkNN":[56,92,116,131,153],"outside":[62],"not":[66],"RkNN.":[68],"The":[69],"has":[72],"several":[73],"applications":[74],"in":[75],"location":[76],"based":[77,105],"services,":[78],"marketing":[79],"decision":[81],"support":[82],"systems.":[83],"It":[84],"can":[85],"also":[86,134],"be":[87],"used":[88],"to":[89,99,114,140],"efficiently":[90],"process":[91,115],"queries.":[93,132],"First,":[94],"present":[96,111,135],"efficient":[97,112],"algorithm":[98],"compute":[100],"zone.":[103],"Then,":[104],"on":[106],"zone,":[109],"algorithms":[113],"queries":[117],"significantly":[119],"outperform":[120],"existing":[121],"best":[122],"known":[123],"techniques":[124],"for":[125],"both":[126],"snapshot":[128],"continuous":[130],"We":[133],"detailed":[137],"theoretical":[138,163],"analysis":[139],"analyse":[141],"IO":[149],"costs":[150],"our":[152,162],"processing":[154],"algorithms.":[155],"Our":[156],"experiments":[157],"demonstrate":[158],"accuracy":[160],"analysis.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":7}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}