Data Warehousing and Data Mining

This course gives an introduction to methods and theory for development of data warehouses and data analysis using data mining.

Data quality and methods and techniques for preprocessing of data.

Modeling and design of data warehouses.

Algorithms for classification, clustering and association rule analysis.

Practical use of software for data analysis.

Knowledge:

The candidate will get knowledge of:

• Data preprocessing and data quality.
• Modeling and design of data warehouses.
• Algorithms for data mining.

Skills:

• Be able to design data warehouses.
• Ability to apply acquired knowledge for understanding data and select suitable methods for data analysis.

Lectures and exercises. Information about the exercises will be given at the start of the semester.