053621 VU Mining Massive Data (2021S)
- Registration is open from Mo 15.02.2021 09:00 to Mo 22.02.2021 09:00
- Deregistration possible until Su 14.03.2021 23:59
Classes (iCal) - next class is marked with N
Aims, contents and method of the course
Assessment and permitted materials
Pen & paper exercises and their (live) discussion
Minimum requirements and assessment criteria
40% Programming exercises
30% Pen & paper exercises (with minor programming exercises)P = Average percentage on the written exam, the programming exercises, and the pen & paper exercises85% <= P <= % Sehr Gut (1)
74% <= P < 85% Gut (2)
62% <= P < 74% Befriedigend (3)
50% <= P < 62% Genügend (4)
0% <= P < 50% Nicht Genügend (5)At least 50% on the written exam, 50% on the programming exercises, and 50% on the pen&paper exercises must be achieved for a passing grade.
J. Leskovec, A. Rajaraman, J. Ullman. Mining of Massive Datasets.
J. Han, M. Kamber, J.Pei.Data Mining: Concepts and Techniques.
I. H. Witten , E. Frank, M. A. Hall. Data Mining: Practical Machine Learning Tools and Techniques.
+ papers mentioned lecture slides