Development of algorithms to generate information and knowledge optimally
The research group Information Processing concerns itself with the automated extraction and processing of information from data of many different natures. To do this, techniques from the areas of machine learning, natural language processing, data mining and statistics are combined. The intent is to analyse known data as precise as possible to gather new insights. End users profit from accurate estimations and predictions for unknown data, but also from products that can learn from individual usage.
Research activities
- Modelling, simulating and optimizing processes and organisations
- Implementation of methods to compare plans with their implementation, improving the control of the process and supporting decision-making
- Development and evaluation of algorithms for optimal information generation
- Data collection, modelling and interpretation of social networks
Research topics
- Machine Learning
- Natural Language Processing
- Algorithmic and combinational optimization methods
- Social Network Analysis
- Data Mining
- Information Retrieval / Ontologies
