#### Data Mining 2nd Edition ####

Data mining is a multidisciplinary field, drawing work from areas including database
technology, machine learning, statistics, pattern recognition, information retrieval,
neural networks, knowledge-based systems, artificial intelligence, high-performance
computing, and data visualization. We present techniques for the discovery of patterns
hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness,
and scalability. As a result, this book is not intended as an introduction to
database systems, machine learning, statistics, or other such areas, although we do provide
the background necessary in these areas in order to facilitate the reader’s comprehension
of their respective roles in data mining. Rather, the book is a comprehensive
introduction to data mining, presented with effectiveness and scalability issues in focus.
It should be useful for computing science students, application developers, and business
professionals, as well as researchers involved in any of the disciplines listed above.

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