Currently there are major challenges in data mining applications
in the geosciences. This is due primarily to the fact that there is
a wealth of available mining data amid an absence of the knowledge
and expertise necessary to analyze and accurately interpret the
same data.Most geoscientists have no practical knowledge or
experience using data mining techniques. For the few that do, they
typically lack expertise in using data mining software and in
selecting the most appropriate algorithms for a given application.
This leads to a paradoxical scenario of "rich data but poor
knowledge."
The true solution is to apply data mining techniques in
geosciences databases and to modify these techniques for practical
applications. Authored by a global thought leader in data mining,
"Data Mining and Knowledge Discovery for Geoscientists" addresses
these challenges by summarizing the latest developments in
geosciences data mining and arming scientists with the ability to
apply key concepts to effectively analyze and interpret vast
amounts of critical information.
Focuses on 22 of data mining s most practical algorithms and
popular application samplesFeatures 36 case studies and
end-of-chapter exercises unique to the geosciences to underscore
key data mining applicationsPresents a practical and integrated
system of data mining and knowledge discovery for
geoscientistsRigorous yet broadly accessible to geoscientists,
engineers, researchers and programmers in data miningIntroduces
widely used algorithms, their basic principles and conditions of
applications, diverse case studies, and suggests algorithms that
may be suitable for specific applications"
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