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6-th SUMMER COURSE ON DATA MINING, Maastricht, The Netherlands
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SUMMER COURSE ON DATA MINING
An intensive 5-day introduction to methods and applications
MICC, Maastricht University, Maastricht, The Netherlands
August 26 - 30, 2008
http://www.cs.unimaas.nl/datamining/ <http://www.cs.unimaas.nl/datamining/>
INTRODUCTION
Data mining is a relatively new scientific field that enables finding
interesting knowledge
(patterns, models and relationships) in very large databases. It is the most
essential part
of the knowledge-discovery process and has the potential to predict events or
to analyse
them in retrospect. Data mining has elements of databases, statistics,
artificial intelligence,
and machine learning.
WHY DATA MINING
A typical database contains data, information or even knowledge if the
appropriate
queries are submitted and answered. The situation changes if you have to
analyse large
databases with many variables. Elementary database queries and standard
statistical
analysis are not sufficient to answer your information need. Your intuition
guides you to
understand that the database contains more knowledge on a specific topic that
you
would like to know explicitly. Data mining can assist you in discovering this
knowledge.
The course shows you within five days how this works. You will learn new
techniques,
new methods, and tools of data mining. Hands-on education is involved.
COURSE DESCRIPTION
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.
CONTENT
The course will cover the topics listed below.
* The Knowledge Discovery Process
* Preparing Data for Mining
* Basic Techniques for Data Mining:
* Decision-Tree Induction
* Rule Induction
* Instance-Based Learning
* Neural Networks
* Bayesian Learning
* Support Vector Machines
* Ensemble Techniques
* Clustering
* Association Rules
* Tools for Data Mining
* How to Interpret and Evaluate Data-Mining Results
INTENDED AUDIENCE
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.
PREREQUISITES
The course 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 course please send an email to the registration office
specifying the
following information:
* Name
* University / Organisation
* Address
* Phone
* E-Mail
* Dietary needs
DEADLINE REGISTRATION: August 4, 2008
REGISTARTION FEES:
* Academic fee € 600,- (approximately $ 900)
* Non-academic fee € 850,- (approximately $ 1.275)
CONTACT:
Evgueni Smirnov
MICC
Maastricht University
P.O.Box 616
6200 MD Maastricht
The Netherlands
Phone: +31 (0) 43 38 82023
Fax: +31 (0) 43 38 84897
