Abstract
High-performance data management and mining are well-known resourceand time-consuming activities that have attracted a great deal of interest from the research community. High-performance data management can be reasonably intended as a intermediate step of high-performance data mining activities over large-scale amounts of data, while still keeping unaltered the primary and selfcontained focus of achieving effectiveness and efficiency in these task themselves. There exists a wide range of application scenarios where high-performance data management and mining play a critical role. Among these, we recall: prediction of natural disasters, analysis of massive sensor and stream data, scientific computing and e-science, fraud detection, business intelligence, cloud intelligence, and so forth.
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