In this work we focus on the problem of frequent itemset mining on large, out-of-core data sets. After presenting a characterization of existing out-of-core frequent itemset minin...
The goal of this paper is to show that generalizing the notion of support can be useful in extending association analysis to non-traditional types of patterns and non-binary data....
Michael Steinbach, Pang-Ning Tan, Hui Xiong, Vipin...
We present a method for very high-dimensional correlation analysis. The method relies equally on rigorous search strategies and on human interaction. At each step, the method cons...
Workflows are becoming an increasingly more common paradigm to manage scientific analyses. As workflow repositories start to emerge, workflow retrieval and discovery becomes a cha...
The growing computational and storage needs of several scientific applications mandate the deployment of extreme-scale parallel machines, such as IBM’s Blue Gene/L which can acc...