Gesellschaft für Informatik e.V.

Lecture Notes in Informatics


Datenbanksysteme für Business, Technologie und Web (BTW) P-214, 21-36 (2013).

Gesellschaft für Informatik, Bonn
2013


Copyright © Gesellschaft für Informatik, Bonn

Contents

A mutual pruning approach for rknn join processing

Tobias Emrich , Peer Kröger , Johannes Niedermayer , Matthias Renz and Andreas Züfle

Abstract


A reverse k-nearest neighbour (RkNN) query determines the objects from a database that have the query as one of their k-nearest neighbors. Processing such a query has received plenty of attention in research. However, the effect of running multiple RkNN queries at once (join) or within a short time interval (bulk/group query) has, to the best of our knowledge, not been addressed so far. In this paper, we analyze RkNN joins and discuss possible solutions for solving this problem. During our performance analysis we provide evaluation results showing the IO and CPU performance of the compared algorithms for a variety of different setups.


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Gesellschaft für Informatik, Bonn
ISBN 978-3-88579-608-4


Last changed 04.10.2013 18:38:48