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http://dx.doi.org/10.3837/tiis.2014.11.013

Ordered Reverse k Nearest Neighbor Search via On-demand Broadcast  

Li, Li (school of Computer Sci. & Tech, Huazhong University of Sci. & Tech.)
Li, Guohui (School of Computer Sci. & Tech, Huazhong University of Sci. & Tech.)
Zhou, Quan (School of Computer Sci. & Tech, Huazhong University of Sci. & Tech.)
Li, Yanhong (College of Computer Science, South-Central University for Nationalities)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.8, no.11, 2014 , pp. 3896-3915 More about this Journal
Abstract
The Reverse k Nearest Neighbor (RkNN) query is valuable for finding objects influenced by a specific object and is widely used in both scientific and commercial systems. However, the influence level of each object is unknown, information that is critical for some applications (e.g. target marketing). In this paper, we propose a new query type, Ordered Reverse k Nearest Neighbor (ORkNN), and make efforts to adapt it in an on-demand scenario. An Order-k Voronoi diagram based approach is used to answer ORkNN queries. In particular, for different values of k, we pre-construct only one Voronoi diagram. Algorithms on both the server and the clients are presented. We also present experimental results that suggest our proposed algorithms may have practical applications.
Keywords
on-demand broadcast; ordered reverse k nearest neighbor query; ordered order-k Voronoi diagram;
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Times Cited By KSCI : 3  (Citation Analysis)
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