Nice books in Machine Learning

This morning, when I reviewed the Machine Learning area, I found a person named as mokuram shared some nice books on www.mofile.com.
The books were as follows:
Pattern Classification
Principles of Data Mining
Data Mining: Concepts, Models, Methods, and Algorithms
Survey of Text Mining
Mining the Web, discovering Knowledge from Hypertext Data
Web Data Mining and Applications in Business Intelligence and Counter-Terrorism
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods.

These books were very nice for our research. The final book was very nwely on SVM. Principles of Data Mining was published by MIT, and very classical for DM.

Last days, I studied on the book Learn Prolog Now. This afternoon, I found a nice Chinese website on Prolog http://cdtzx.swiki.net/1. It was so nice.
I began to read the ample content one by one.

Today, one more nice book is Data mining: Practical Machinie Learning Techniques with JAVA Implementations. It introduced the package of WEKA. I plan to read it.