Section Information Systems (IS)
The section IS studies subjects related to the design, realization, analysis and optimization of information systems.
The section IS comprises three chairs:
The chair Architecture of Information Systems (AIS)investigates methods, techniques and tools for the design and analysis of process-aware information systems, i.e., systems that support business processes (workflows) in organizations. We are not only interested in these information systems and their architecture, but also try to model and analyze the business processes and organizations they support.
Data-intensive systems are crucial in modern computing, analytics, and data science. The Database (DB) group studies core engineering and foundational challenges in scalable and effective management of big data. Current DB group research focuses primarily on problems in the management of massive graphs such as social and biological networks. Expertise within the group is on query language design, query optimization and evaluation, data analytics, data integration, and personalization.
The Data Mining (DM) chair studies techniques and knowledge discovery approaches that are at the core of data science. The group is known for its contributions to the areas of predictive analytics, automation of machine learning and networked science, subgroup discovery and exceptional model mining, and similarity computations on complex data.