Date:
8th SUMMER SCHOOL ON DATA MINING, Maastricht, The Netherlands
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
This course is intended for four groups of data-mining beginners: students, scientists, engineers and experts in specific fields who need to apply data-mining techniques to their scientific research, business management, or other related applications.
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