Machine Learning and Natural Language Processing Lab

Praktikum

Data Mining: The practice

Dr. Andreas Karwath

• Time and Place:
• The en-block practical will be held just before or at the beginning of the semester and will last full three days (11.04-13.04.07, building 101, room 01-016).
• The time and place for the meetings during the semester can be found here.

• Participation:
• The practical aims at Master and Ph.D students from scientific disciplines such as biology, pharmacy, chemistry, finance, etc. and computer science MSc and diploma students.
• Limited to 20 people while taking into account a healthy balance among the two different groups.

• Registration:
• Please register using the official web page.

• Lectures:

The practical is concered with the application of data mining to real world scientific problems, supplied by problem-providers from within the university. The idea is that these problem providers will introduce a specific scientific problem or application they would like to have solved/tackled and that computer science students will form groups attempting to apply DM techiques to it. The practical is divided into two parts. The first part is on block and runs from 11.04 to the 13.04.2006 The second part will run over the whole semester and will be concerned wih developing concrete solutions to the problems provided.

• Credit points (Kreditpunkte):
• 6 (for computer science students)

• Language:
• English

• Overview:

This practical aims at two different target groups. On the one hand, Master and Ph.D. students from scientific disciplines such as biology, pharmacy, chemistry, finance, etc. that have a need for learning more about datamining. Ideally, these students also come with a concrete problem, which they want to solve and for which data is avaliable or can be made avaliable. On the other hand it is aimed at computer science MSc and diploma students that want to learn how to apply datamining and machine learning principles onto real world and scientific problems. The practical will introduce the basics of datamining and will provide hands-on exercises with the WEKA WEKA workbench. The idea of this practical is that computer scientists will form teams with the problem providers in an attempt to solve the problems. We hope for strong synergy effects amongst the different groups and disciplines.

• Providing a Problem:

Problem providers should be prepared to give a short presentation (10-15min) some time during the en-bloc practical session of the problem they want to solve. (Please consult Andreas Karwath before). It might be useful to bring along your own laptop.

• Further Information:
• Further information and material