Online Publications/Magazines

KDnuggets
The site is data mining centric and provides news, software, jobs, courses, education and more.

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.

CRISP-DM
The CRISP-DM project developed an industry- and tool-neutral data mining process model. Starting from the embryonic knowledge discovery processes used in early data mining projects and responding directly to user requirements, this project defined and validated a data mining process that is applicable in diverse industry sectors. This methodology makes large data mining projects faster, cheaper, more reliable and more manageable. Even small scale data mining investigations benefit from using CRISP-DM.

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 Mining Group
A consortium of industry and academics formed to facilitate the creation of useful standards for the data mining community.        

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.