Principles of Data Mining - BOOKS- Soft ExperienceSuggests

To learn more about Data Mining you may be interested in these books among many other:

Principles of Data Mining (Adaptive Computation and Machine Learning)
by David J. Hand, et al

The Elements of Statistical Learning
by T. Hastie, et al

Machine Learning
by Tom M. Mitchell

The Data Warehouse Toolkit

by Ralph Kimball (Author), Margy Ross (Author)

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
by Nello Cristianini (Author), John Shawe-Taylor (Author)

Data Mining
by Ian H. Witten, Eibe Frank

Data Mining
by Margaret H. Dunham

Data Preparation for Data Mining

by Dorian Pyle

Advances in Knowledge Discovery and Data Mining
by Usama M. Fayyad (Author), et al

The Data Warehouse Lifecycle Toolkit

by Ralph Kimball (Author), et al

Microsoft(r) SQL Server(tm) 2000 Analysis Services Step by Step

by Olap Train (Editor), et al

  Data Mining Techniques
by Michael J. A. Berry, Gordon Linoff

Mastering Data Mining
by Michael J. A. Berry (Author), Gordon Linoff (Author)

Data Mining Using SAS Applications

by George Fernandez

Building Data Mining Applications for CRM

by Alex Berson, et al

Artificial Intelligence
by Stuart J. Russell, Peter Norvig

Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations by Ian H. Witten, Eibe Frank (Paperback)

Mastering Data Warehouse Design: Relational and Dimensional Techniques de Claudia Imhoff
How to easily extract metadata from documents and files into different formats

How to geocode your photos with GeoIPTC
Metadata and controlled vocabulary software for image files: Kalimages www.kalimages.comdocumentation of photo files with Kalimages software