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 manage-
ment 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 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, anal-
ysis of massive sensor and stream data, scientific
computing and e-science, fraud detection, business
intelligence, cloud intelligence, and so forth.
