This book provides an interesting, readable, and comprehensive treatment of the field of data mining for a reader who is not familiar with the concepts, tools, and algorithms. The book provides a nice introduction to the field and discusses standard algorithms and data processing techniques. The emphasis of the book is on data sources that can be transformed into tabular data. Thus, the issues regarding mining unstructured data sets or direct mining of relational databases are not discussed in detail. With few exceptions, the book does not cover many of the more recent developments in this and related fields. Support vector machines, link analysis, and ensemble methods and other aspects of statistical learning, perhaps due to the broad nature of the intended audience. The effective writing and the liberal use of examples provide an interesting guide to this important field. The...

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