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Large scale approximate k-nearest neighbors search is an important and very useful technique for many multimedia retrieval applications. Most of existing search algorithms used the centralized indexing approaches and thus cannot meet the needs to search upon large scale datasets. This paper proposes an efficient and distributed approximate k-nearest neighbors search algorithm over a billion high-dimensional...
Many algorithms have been proposed in past decades to efficiently mine frequent sets in transaction database, including the SON Algorithm proposed by Savasere, Omiecinski and Navathe. This paper introduces the SON algorithm, explains why SON is very suitable to be parallelized, and illustrates how to adapt SON to the MapReduce paradigm. Then we propose a parallelized SON algorithm, PSON, and implement...
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