Efficient frequent item counting in multi-core hardware

Abstract

The increasing number of cores and the rich instruction sets of modern hardware are opening up new opportunities for optimizing many traditional data mining tasks. In this paper we demonstrate how to speed up the performance of the computation of frequent items by almost one order of magnitude over the best published results by matching the algorithm to the underlying hardware architecture.