Created with the input of a distinguished International Board of
the foremost authorities in data mining from academia and industry,
"The Handbook of Data Mining" presents comprehensive coverage of
data mining concepts and techniques. Algorithms, methodologies,
management issues, and tools are all illustrated through engaging
examples and real-world applications to ease understanding of the
materials.
This book is organized into three parts. Part I presents various
data mining methodologies, concepts, and available software tools
for each methodology. Part II addresses various issues typically
faced in the management of data mining projects and tips on how to
maximize outcome utility. Part III features numerous real-world
applications of these techniques in a variety of areas, including
human performance, geospatial, bioinformatics, on- and off-line
customer transaction activity, security-related computer audits,
network traffic, text and image, and manufacturing quality.
This "Handbook" is ideal for researchers and developers who want
to use data mining techniques to derive scientific inferences where
extensive data is available in scattered reports and publications.
It is also an excellent resource for graduate-level courses on data
mining and decision and expert systems methodology.
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