Maastricht Summer School On Data Mining, Aug 27-30, The Netherlands

11-th MAASTRICHT SCHOOL ON DATA MINING

Maastricht University

Maastricht, The Netherlands

August 27 - August 30, 2013

Description

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.

Content

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.

Prerequisites

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.

Registration

To register for the school please send an email to:

• smirnov@maastrichtuniversity.nl
• kurt.driessens@maastrichtuniversity.nl

(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