Guide to Intelligent Data Analysis: How to Intelligently Make Sense of Real Data, by Berthold, M.R., Borgelt, C., Höppner, F., Klawonn, F. Series: Texts in Computer Science Springer Verlag, 1st Edition., 2010. ISBN 978-1-84882-259-7.
Review snippet posted to book’s website:
“The clear and complete exposition of arguments, along with the attention to formalization and the balanced number of bibliographic references, make this book a bright introduction to intelligent data analysis. It is an excellent choice for graduate or advanced undergraduate courses, as well as for researchers and professionals who want get acquainted with this field of study. … Overall, the authors hit their target producing a textbook that aids in understanding the basic processes, methods, and issues for intelligent data analysis.” (Corrado Mencar, ACM Computing Reviews, April, 2011)
In some sense dated by not including the very latest improvement in the Hadoop ecosystem but all the more valuable for not focusing on ephemera. Rather it focuses on the principles of data analysis that are broadly applicable across data sets and tools.
The website includes slides and bibliographic references for use in teaching these materials.
I first saw this at KDNuggets.