Efficient probabilistic reverse nearest neighbor query processing on uncertain data

Thomas Bernecker, Tobias Emrich, Hans-Peter Kriegel, Matthias Renz, Stefan Zankl, Andreas Züfle
2011 Proceedings of the VLDB Endowment  
Given a query object q, a reverse nearest neighbor (RNN) query in a common certain database returns the objects having q as their nearest neighbor. A new challenge for databases is dealing with uncertain objects. In this paper we consider probabilistic reverse nearest neighbor (PRNN) queries, which return the uncertain objects having the query object as nearest neighbor with a sufficiently high probability. We propose an algorithm for efficiently answering PRNN queries using new pruning
more » ... new pruning mechanisms taking distance dependencies into account. We compare our algorithm to state-ofthe-art approaches recently proposed. Our experimental evaluation shows that our approach is able to significantly outperform previous approaches. In addition, we show how our approach can easily be extended to PRkNN (where k > 1) query processing for which there is currently no efficient solution.
doi:10.14778/2021017.2021024 fatcat:emhgrvuhnrgnlaix6hip3itlci