Data-mining has become a popular research topic in recent years
for the treatment of the "data rich and information poor" syndrome.
Currently, application oriented engineers are only concerned with
their immediate problems, which results in an ad hoc method of
problem solving. Researchers, on the other hand, lack an
understanding of the practical issues of data-mining for real-world
problems and often concentrate on issues that are of no
significance to the practitioners. In this volume, we hope to
remedy problems by (1) presenting a theoretical foundation of
data-mining, and (2) providing important new directions for
data-mining research. A set of well respected data mining
theoreticians were invited to present their views on the
fundamental science of data mining. We have also called on
researchers with practical data mining experiences to present new
important data-mining topics.
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