Software

Survey designed to provide a comprehensive review of different clustering techniques in data mining.

Technical journal focused on the theory, techniques, and practice for extracting information from large databases.

Outlines the crucial concepts in data mining, defines the data warehousing process, and offers examples of computational and graphical exploratory data analysis techniques.

Offers an introduction to various data mining applications and techniques: association-rule mining, low-support/high correlation, query flocks, searching the Web, web mining, and clustering.

Find blogs, forums, and mailing lists dedicated to computer programming, data mining, statistics, and artificial intelligence.

Association of companies and organizations working to identify "best in class" data mining processes through benchmarking studies.

Includes a set of tutorials on many aspects of statistical data mining, including the foundations of probability, the foundations of statistical data analysis, and most of the classic machine learning and data mining algorithms.

About.com article on how businesses are discovering new trends and patterns of behavior that previously went unnoticed through data mining, automated statistical analysis techniques.

Developing innovative technology to discover useful patterns in large amounts of data. At the Almaden Research Center.

Introduction to knowledge discovery, the computer-assisted process of digging through and analyzing enormous sets of data and then extracting the meaning of the data.