Summer School on Data Mining, Maastricht, Netherlands, Aug 30 - Sep 2

An intensive 4-day introduction to methods and applications

Department of Knowledge Engineering, Maastricht University,
Maastricht, The Netherlands
August 30 - September 2, 2010

Course Description The course is well balanced between theory and practice. Each lecture is accompanied by a lab in which course participants experiment with the techniques introduced in the lecture. The lab tool is Weka, one of the most advanced data-mining environments. A number of real data sets will be analysed and discussed. In the end of the course participants develop their own ability to apply data-mining techniques for business and research purposes.

The course focuses on techniques with a direct practical use. A step-by-step introduction to powerful (freeware) data-mining tools will enable you to achieve specific skills, autonomy and hands-on experience. A number of real data sets will be analysed and discussed. In the end of the course you will have your own ability to apply data- mining techniques for research purposes and business purposes.

Course Content

The course will cover the topics listed below.

• The Knowledge Discovery Process
• Data Preparation
• Basic Techniques for Data Mining:
  • Decision-Tree Induction
  • Rule Induction
  • Instance-Based Learning
  • Bayesian Learning
  • Support Vector Machines
  • Regression Techniques
  • Clustering Techniques
  • Association Rules
• Tools for Data Mining
• How to Interpret and Evaluate Data-Mining Results

Certificate Upon request a certificate of full participation will be provided after the course.

Please register before August 9, 2010

For additional information and registration, see

www.pascal-network.org/?q=node/337