Recording of the lecture:

Access to lecture recordings via the Stream Player of the ATIS. 

Lecture material:

The lecture notes and other course material can be found on the following folder  at our BSCW-Server.

Content:

This course introduces students to the deployment of modern database technology, in both breadth and depth. ’Breadth’ is reached by the detailed study and comparison of different data models (especially the relational and the semi-structured /XML data models) an appropriate query languages (SQL, YQuery). ’Depth’ is reached by the study of several non-trivial applications, such as management of XML or e-commerce data, implementation of retrieval-models using relational database technology, or the usage of SQL for accessing sensor networks. Since all these applications are generic problems themselves, the study of such applications is interesting in itself already.

Objective:

At the end of the course, the participants should be able to explain and compare database concepts
(especially data models and query languages) - in more breadth, compared to database courses at the
undergraduate level. They should know and be able to assess the different possibilities to store complex
user data using database technology.

Literature:

• Data Mining: Concepts and Techniques (3rd edition): Jiawei Han, Micheline Kamber, Jian Pei, Morgan Kaufmann Publishers 2011
• Data Mining and Analysis, Fundamental Concepts and Algorithms: Mohammed J. Zaki, Wagner Meira JR., Campridge University Press 2014
• Introduction to Data Mining: Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Addison-Wesley 2006
• Knowledge Discovery in Databases: Martin Ester, Jörg Sander, Springer 2000

Further Literature:

Weitere aktuelle Angaben in den Folien am Ende eines jeden Kapitels.