Models and Algorithms for High-Performance Data Management and Mining on Computational Grids and Clouds

摘要

High-performance data management and mining are well-known resource- and 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 largescale amounts of data, while still keeping unaltered the primary and self-contained focus of achieving effectiveness and efficiency in these task themselves. These topics are now of very-high interest, due to the emerging trends falling under the terms "Big Data" and "Cloud Infrastructures". 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.