Associations

ACM SIG on Knowledge Discovery and Data Mining
The primary focus of the SIGKDD is to provide the premier forum for advancement and adoption of the "science" of knowledge discovery and data mining.

Data Mining Group
The Data Mining Group (DMG) is an independent, vendor-led group that develops data mining standards, such as the Predictive Model Markup Language (PMML).

The Data Warehousing Institute
TDWI provides in-depth, high-quality education and research in the business intelligence and data warehousing industry.

Education

Data Mining Application Workshop
Throughout the workshop, the CRISP-DM model will be used to guide participants through the steps of the data mining process, and the attendees themselves will complete the entire data mining process during the workshop by solving simple data mining problems through a staged progression.

Data Mining Techniques, Tools and Tactics
This two-day course presents an in-depth examination of the data mining process at a functional level. Attendees will observe and participate in demonstrations of computer-guided analytical techniques for extracting and interpreting complex business rules from data. If you desire a rapid and substantial boost in your understanding of data mining concepts, tools, techniques and supporting methods, then this course is designed for you.

Data Mining: Levels I, II and III

DATA MINING: LEVEL I
An Intensive Overview of Strategy, Best Practices and Case Studies for Predictive Analytics

DATA MINING: LEVEL II
A Tactical Drill-Down of the Data Mining Process, Methods, Tools and Techniques

DATA MINING: LEVEL III
A Hands-On Application Workshop for Data Mining Practitioners

Predictive Analytics: An Intensive Overview of Strategy, Application and Best Practices for Data Mining
This two-day course offers a broad-brushed introduction to data mining terminology, methods, resources and business issues. Those in attendance will learn about various methods of predictive analytics, competitive advantages, and common pitfalls that often cause data mining projects to fall short of their potential.

Articles

TDWI Report - Predictive Analytics: Extending the Value of your Data Warehousing Investment
This report is designed for the business or technical manager who oversees a business intelligence (BI) environment and wishes to learn the best practices and pitfalls of implementing a predictive analytics capability. The report defines predictive analytics as a form of BI that uncovers relationships and patterns, within large volumes of data, that can be used to predict future behavior and events. Unlike other BI technologies, predictive analytics is forward-looking, using past events to anticipate the future.