Data Mining
Formalia
- Targeted audience
- DAI Hauptstudium with 4 credit points : Bereich "D"
- ISE Master with 4 credit points
Dates
Lectures
Date | Time | Place |
Mittwoch | 14:15 - 15:45 | LF/052 |
Description
Data mining deals with the extraction of implicit, yet unknown knowledge from raw data. For this purpose, there are methods for analyzing databases, in order to identify patterns and to perform abstraction, in order to produce valuable knowledge. The methods applied are based on machine techniques.
Course structure:
- Input: Concepts, Instances, Attributes
- Output: Knowledge Representation
- Algorithms: The Basic Methods
- Credibility: Evaluating What's Been Learned
- Implementations: Real Machine Learning Schemes
- Moving On: Engineering the Input and Output
- Nuts And Bolts: Machine Learning Algorithms In Java
Assignments / preparation for the oral exam
- Examples for assignments can be found here.
- Examples
for questions in the oral exam (only in German)
(consider also the repetition slides)