Corona Update:
The lecture will be conducted online via Cisco Webex during the lecture slots (Tuesdays, 1.45 pm). Please join the video conference here: https://heiko-317.my.webex.com/heiko-317.my/j.php?MTID=m11fc300a81473dba84be771e8f23a6fa
Exercises will be provided. We are working on a solution for Q&A session for the exercises.
The Data Mining Cup has been postponed; the task will be out on April 14th. Please see the updated schedule below!
The exam will take place at the announced time and date (i.e., June 2nd, 10.30-11.30) as an online open book exam.
Building on the Data Mining fundamentals course, this course deepens the theory and practice of advanced data mining topics, such as:
- Data Preprocessing
- Dimensionality Reduction
- Anomaly Detection
- Time Series Analysis and Forecasting
- Parameter Tuning
- Ensemble Methods
- Neural Networks and Deep Learning
- Model Validation
The course consists of a lecture together with accompanying practical exercises as well as student team projects. In the exercises the participants will gather initial expertise in applying state of the art data mining tools on realistic data sets.
Like in the previous years, participants will take part in the annual Data Mining Cup (DMC), an international student competition in data mining, as part of the project work. In addition to the DMC submission, the approaches and results of the project have to be compiled into a written project report, and presented in a plenary session.
