Our book includes some state-of-the-art classical and non-classical
approaches of data mining and given a well-balanced treatment of
both theory and practice. This book is presented in a simple and
lucid manner. Many case studies are provided for easy understanding
of the readers. Hybrid approaches are new and included in this
text. Application to intrusion detection attracts more researchers
to this. Recently, Data Mining (DM) algorithms have been
successfully applied in IDS in order to uncover new insights,
associations and hidden patterns within large data set of logs and
messages.
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