Data Mining und Knowledge Discovery

What it is about

You will learn methods of Data Mining and Knowledge Discovery: from data sources and quality through preprocessing, visualization and feature selection to correlation, regression, forecasting, classification and clustering. In the end you will be able to select appropriate methods, apply them and critically evaluate them, as well as deepen the foundations independently.

What you will be able to do

• Distinguishing different data types and relationships
• Applying and evaluating data preprocessing, analysis and visualization
• Applying and evaluating linear and nonlinear correlation, regression and forecasting
• Comparing, applying and evaluating classification and clustering methods
• Selecting appropriate data mining methods for concrete applications

What the module consists of

• VorlesungDelivery of content and concepts; basis for self-study and exercises

Teaching method

• Vorlesung/PräsentationCommunication of content; motivation for self-study, solving tasks and acquiring practical skills