Knowledge Management & Discovery Lab
KMD stands for "Knowledge Management and Discovery".
The KMD Lab is part of the department Technical and Business Information Systems (ITI).
The KMD Lab has been established in February 2003.
In the KMD, lab we develop and apply data mining methods for dynamic environments:
- to understand the progress of diseases and the long-term impact of interventions
- to make recommenders adaptive to changing user interests and market conditions
- to monitor opinions
- to learn actively from the data, minimizing human effort.
Our methods are mostly in the field of stream mining. We develop stream mining methods, methods that exploit timestamped data, and dedicated stream algorithms for recommendation engines, opinion analysis, patient records and longitudinal epidemiological data.
Our research is reflected in our teaching programme. With KMD, students learn fundamentals of data mining and recommendation engines. They learn to design and apply mining and machine learning methods in realistic applications, and get involved in our research - in teamprojects and individual projects.
All our projects are listed here.