Data Mining Algorithms II (DMA II) im Sommersemester 2025
News
Organization
- Scope: 3+2 semester hours per week
- Lecture: Prof. Dr. Thomas Seidl
- Teaching Assistant: Philipp Jahn
- Required: Lecture "Data Mining Algorithmen I" or equivalent
- ECTS: 6
- Registration: via Moodle
- Moodle Enrolment key: DMA2_2025_key
Dates and Location
| Component | When | Where | Starts at |
| Lecture | Wed, 9:15 - 11:45 | Schellingsstr. 3, S 002 | 23.04.2025 |
| Exercise 1 | Mon, 14:00 - 16:00 | HGB, D Z003 | 05.05.2025 |
| Exercise 2 | Mon, 16:00 - 18:00 | HGB, D Z003 | 05.05.2025 |
Content
In many modern application areas, data scientists face challenges which go beyond the basic techniques being introduced in the basic module Knowledge Discovery in Databases I. The module Knowledge Discovery in Databases II covers advanced techniques to handle large data volumes, volatile data streams, complex object descriptions and linked data. These topics are also known as the three major challenges (Volume, Velocity, Variety) in Big Data Analysis. The module is directed at master students being interested in developing and designing knowledge discovery processes for various types of applications. This includes the development of new data mining and data preprocessing methods as well as the ability to select the best suited established approach for a given practical challenge.