This second and revised edition contains a detailed introduction to the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues. The following chapters concentrate on machine learning and artificial intelligence, rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on visualization and an advanced overview of IDA processes.
It's q quite advanced book mainly written to those who are interested in statistical Data Analysis and those who want to support decision making in their work environment.
A good introduction to data analysis methods - especially the basics of data sciences (the curse of dimensionality, etc.) with a good number of examples.