Data Mining School in Maastricht, The Netherlands: August 27 - August 30, 2013

Data Mining School in Maastricht, The Netherlands: August 27 - August 30, 2013

Posted by Rebecca Martin on Wed, 26/06/2013 - 08:51

Maastricht University,
Maastricht, The Netherlands

August 27 - August 30, 2013

School on Data Mining

An intensive 4-day introduction to methods and applications

Department of Knowledge Engineering, Maastricht University,
Maastricht, The Netherlands

August 27 - August 30, 2013

Most business organizations collect terabytes of data about business
processes and resources. Usually these data provide just "facts and
figures", not knowledge that can be used to understand and eventually
re-engineer business processes and resources. Scientific community in
academia and business have addressed this problem in the last 20 years
by developing a new applied field of study known as data mining.
In practice data mining is a process of extracting implicit,
previously unknown, and potentially useful knowledge from data. It
employs techniques from statistics, artificial intelligence, and
computer science. Data mining has been successfully applied for
acquiring new knowledge in many domains (like Business, Medicine,
Biology, Economics, Military, etc.). As a result most business
organizations need urgently data-mining specialists, and this is
the point where this school comes to help.

Our school on data mining tries to find a balance between theory and
practice. Each lecture is accompanied by a lab in which 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
school participants develop their own ability to apply data-mining
techniques for business and research purposes.

The school 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

Intended Audience
This school 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.

The school does not require any background in databases, statistics,
artificial intelligence, or machine learning. A general background in
science is sufficient as is a high degree of enthusiasm for new
scientific approaches.

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

To register for the school please send an email to:

(due to summer holidays please send the registration to both e-mails)

In the e-mail please specify:
- Name
- University / Organisation
- Address
- Phone
- E-Mail

Registration Deadline: August 23, 2013

Registration fees

Academic fee 750 Euros
Non-academic fee 1000 Euros

Coffee breaks are included in the price. The local
cafeteria will be available for lunch (not included).

Regular mail address:

Evgueni Smirnov and Kurt Driessens
Department of Knowledge Engineering
Faculty of Humanities and Sciences
Maastricht University
P.O.Box 616 6200 MD Maastricht
The Netherlands
Phone: +31 (0) 43 38 82023
Fax: +31 (0) 43 38 84897

E-mails: smirnov(at)