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Stepwise Optimization Method for k-CNN Search for Location-Based Service

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Book cover SOFSEM 2005: Theory and Practice of Computer Science (SOFSEM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3381))

Abstract

In this paper, we focus on a typical situation of LBS which is to provide services for users in cars that move in a road network. For such kind of users, the problem of k-CNN search along a specific route on road network is to find out k nearest neighbor (k-NN) objects for any place on the route. k nearest neighbors are selected based on the path length from the route to the objects, and the continuous search for all the points on the route should be considered. A k-CNN search method is proposed by using an incremental k-NN search based on road network.

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© 2005 Springer-Verlag Berlin Heidelberg

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Feng, J., Mukai, N., Watanabe, T. (2005). Stepwise Optimization Method for k-CNN Search for Location-Based Service. In: Vojtáš, P., Bieliková, M., Charron-Bost, B., Sýkora, O. (eds) SOFSEM 2005: Theory and Practice of Computer Science. SOFSEM 2005. Lecture Notes in Computer Science, vol 3381. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30577-4_41

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  • DOI: https://doi.org/10.1007/978-3-540-30577-4_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24302-1

  • Online ISBN: 978-3-540-30577-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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