The mission of the Knowledge Discovery group is to extract the maximum value out of data. To that end, we follow a data-driven approach, which is domain-agnostic in its application. Our research is related to the scientific fields of machine learning and natural language processing. Methods from these fields form the algorithmic base of data science, artificial intelligence and interactive applications.
Roman Kern is the head of the Knowledge Discovery group and the main contact point.
The Knowledge Discovery group spans people from the Institute of Interactive Systems and Data Science and the Know-Center (research centre for Data-Driven Business and Artificial Intelligence). There are three sub-groups of Knowledge Discovery, each with a dedicated leader:
List of courses at the Graz University of Technology.
Thesis overview, template and topics available at the homepage of Roman Kern
Regular presentation and discussion of students works, e.g., Master's thesis.
Get an overview of the slots Have a look at: ISDS-KD-Seminar or as .ics. There you see when the next slots are and their availability (e.g., "2 slots free" in the title of the event).
Book a slot: Just send an e-mail with your preferred date to rkern<at>tugraz.at, optimally including a title and a short abstract.
Date/time/location/speakers: Should be in the details of the event - occasionally, there will also be friendly reminders of upcoming presentations.
Give a presentation: The presentation typically are 20 minutes, allowing for approx. 5 minutes of Q&A - the language by default is English (German only in exceptional cases). For video conferencing: please use you machine and webcam for the presentation, and for physical meetings, please bring your own laptop for the presentation.
Overview of recent research activities.
Selected papers and other dissemination activities.