Data Mining Lab
- Lecturer: Prof. Dr. Eirini Ntoutsi
- Teaching assistants: Vasileios Iosifidis || Amir Abolfazli|| Arjun Roy || Tai Le Quy
- Participation is equivalent to 6 ECTS credits (1 ECTS credit equals 30 hours of study).
- We will use StudIP for discussions/announcements/material/schedule.
- Kick-off lecture: Friday 1/11/2019, 11:30-12:30, room 235 Appelstrasse 4.
- Introduction to the labor & project announcements
- Regular meetings and updates on project progress
- Final presentation of the results (oral, poster)
- Academic projects will be typically based on some published paper. The goal is to reproduce the authors results with some extensions and application to new datasets.
- Application-specific projects referring to the analysis of interesting datasets from different application domains.
- Programming skills.
- Data Mining/ Machine Learning basics.
- Independent and team work.
- Teams of 3-4 students (set up your teams )
About the lab
The goal is gaining hands-on experience on data mining methods and algorithms in the context of a semester-long team project.Organisation
Lab schedule