This book will give the reader a perspective into the core theory
and practice of data mining and knowledge discovery (DM&KD).
Its chapters combine many theoretical foundations for various
DM&KD methods, and they present a rich array of examples - many
of which are drawn from real-life applications. Most of the
theoretical developments discussed are accompanied by an extensive
empirical analysis, which should give the reader both a deep
theoretical and practical insight into the subjects covered. The
book presents the combined research experiences of its 40 authors
gathered during a long search in gleaning new knowledge from data.
The last page of each chapter has a brief biographical statement of
its contributors, who are world-renowned experts.
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