• Introduction to Data Mining.- The ”data-mine”.- Exploratory data analysis.- Classification and decision trees.- Data mining techniques and models.- Classification performance evaluation.

From the reviews: "Provides a gentle introduction to a fascinating and emerging research area. ... provide an easy-to-read 'compass' to lead readers though the basic principles. ... material presented is comprehensive and covers every aspect of data mining. ... Ample examples give readers an appreciation for how the methodologies can be applied in real-life situations ... . bibliography will help those interested in obtaining further information on the topic. This book is ideal for students ... . Summing Up: Highly recommended. Lower-division undergraduates and two-year technical program students." (J. Y. Cheung, Choice, Vol. 49 (4), December, 2011)

• Introduction to Data Mining.- The ”data-mine”.- Exploratory data analysis.- Classification and decision trees.- Data mining techniques and models.- Classification performance evaluation.

From the reviews: "Provides a gentle introduction to a fascinating and emerging research area. ... provide an easy-to-read 'compass' to lead readers though the basic principles. ... material presented is comprehensive and covers every aspect of data mining. ... Ample examples give readers an appreciation for how the methodologies can be applied in real-life situations ... . bibliography will help those interested in obtaining further information on the topic. This book is ideal for students ... . Summing Up: Highly recommended. Lower-division undergraduates and two-year technical program students." (J. Y. Cheung, Choice, Vol. 49 (4), December, 2011)

• Introduction to Data Mining.- The ”data-mine”.- Exploratory data analysis.- Classification and decision trees.- Data mining techniques and models.- Classification performance evaluation.

From the reviews: "Provides a gentle introduction to a fascinating and emerging research area. ... provide an easy-to-read 'compass' to lead readers though the basic principles. ... material presented is comprehensive and covers every aspect of data mining. ... Ample examples give readers an appreciation for how the methodologies can be applied in real-life situations ... . bibliography will help those interested in obtaining further information on the topic. This book is ideal for students ... . Summing Up: Highly recommended. Lower-division undergraduates and two-year technical program students." (J. Y. Cheung, Choice, Vol. 49 (4), December, 2011)