Apr 24, 2009 · In this paper, we formalize probabilistic reverse nearest neighbor query that is to retrieve the objects from the uncertain data that have ...
Abstract—Uncertain data is inherent in various important applications and reverse nearest neighbor (RNN) query is an important.
In this paper, we formalize probabilistic reverse nearest neighbor query that is to retrieve the objects from the uncertain data that have higher probability ...
We develop an efficient algorithm based on various novel pruning approaches that solves the probabilistic RNN queries on multidimensional uncertain data. The ...
In this paper, we formalize probabilistic reverse nearest neighbor query that is to retrieve the objects from the uncertain data that have higher probability ...
Jan 15, 2009 · In this paper, we re-define the RNN query in the context of uncertain databases, namely probabilistic reverse nearest neighbor (PRNN) query, ...
Original language, English. Pages (from-to), 550 - 564. Number of pages, 15. Journal, IEEE Transactions on Knowledge and Data Engineering.
[PDF] Probabilistic Nearest Neighbor Queries on Uncertain Moving ...
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ABSTRACT. Nearest neighbor (NN) queries in trajectory databases have received significant attention in the past, due to their applications in spatio-.
Abstract. A reverse k-nearest neighbors (RkNN) query returns all the objects that take the query object q as their k nearest neighbors. How- ever, data are ...
In this paper, we re-define the RNN query in the context of uncertain databases, namely probabilistic reverse nearest neighbor (PRNN) query, which obtains data ...