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An efficient algorithm for predictive continuous nearest neighbor query processing and result maintenance

Published: 09 May 2005 Publication History

Abstract

Predictive continuous nearest neighbor queries are concerned with finding the nearest neighbor objects for some future time period according to the current object and query locations and their motion information. Existing continuous query processing algorithms are not efficient enough, requiring multiple dataset lookups to evaluate the query results throughout the duration of a continuous query. More importantly, the complete result for the whole query time interval is only available at the moment when all object motion updates have been examined, based on which adjustment of the query result is made. In this paper, we propose an algorithm which requires only one dataset lookup to deliver a complete predictive result. We then apply a differential update technique to maintain the query results incrementally in the presence of object location and motion updates.

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cover image ACM Conferences
MDM '05: Proceedings of the 6th international conference on Mobile data management
May 2005
329 pages
ISBN:1595930418
DOI:10.1145/1071246
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 09 May 2005

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Author Tags

  1. continuous query
  2. location management
  3. mobile computing
  4. nearest neighbor
  5. predictive query processing
  6. query processing

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  • (2012)Predictive spatio-temporal queriesProceedings of the First ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems10.1145/2442810.2442828(97-104)Online publication date: 6-Nov-2012
  • (2012)PandaProceedings of the 20th International Conference on Advances in Geographic Information Systems10.1145/2424321.2424324(13-22)Online publication date: 6-Nov-2012
  • (2011)Scalable processing of continuous K-nearest neighbor queries with uncertain velocityExpert Systems with Applications: An International Journal10.1016/j.eswa.2011.01.02838:8(9256-9265)Online publication date: 1-Aug-2011
  • (2011)Location-dependent spatial query containmentData & Knowledge Engineering10.1016/j.datak.2011.06.00170:10(842-865)Online publication date: 1-Oct-2011
  • (2010)Nearest Surrounder QueriesIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2009.17222:10(1444-1458)Online publication date: 1-Oct-2010
  • (2010)Efficient evaluation of continuous spatio-temporal queries on moving objects with uncertain velocityGeoinformatica10.1007/s10707-009-0081-814:2(163-200)Online publication date: 1-Apr-2010
  • (2009)Database Support for M-Commerce and L-CommerceEncyclopedia of Information Science and Technology, Second Edition10.4018/978-1-60566-026-4.ch154(967-973)Online publication date: 2009
  • (2007)Round-EyeJournal of Systems and Software10.1016/j.jss.2007.03.00780:12(2063-2076)Online publication date: 1-Dec-2007

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