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Data mining constitutes an important class of scientific and commercial applications. Recent advances in data extraction techniques have created vast data sets, which require increasingly complex data mining algorithms to sift through them to generate meaningful information. The disproportionately slower rate of growth of computer systems has led to a sizeable performance gap between data mining systems and algorithms. The first step in closing this gap is to analyze these algorithms anddoi:10.1109/iiswc.2006.302743 dblp:conf/iiswc/NarayananOZMC06 fatcat:lyhz557k45bunmqw5gtgcwqn6u