Lectures and Seminars

Lectures on Thursdays, at 10:15-12 (and sometimes also 12:15-14)

Seminars: 12:15-14. Sometimes replaced by lectures.

1. Sep 3 - Introduction, setup. (10:15-12)

(no session at 12:15)

2. Sep 10 - Combinatorial data mining (Sven Laur, PhD)

3. Sep 10 (12:15-14) lecture continued...

Errata. In the slides there was an error in the definition of lift. The definition of lift was in an inverted form. Normalisation coefficient n is needed when all supports are absolute.

4. Sep 17 - Descriptive Data Summarisation

X. Sep 24 - no lecture/seminar (JV travel)

5. Oct 1 - Clustering

6. Oct 8 - Seriation and Matrix Visualization (Innar Liiv, PhD, Tallinn University of Technology)

7. Oct 15 - Data Warehouses (Prof. Marlon Dumas)

X. Oct 22 - no lecture/seminar (JV travel)

8. Oct 29 - Business Intelligence applications (Prof. Marlon Dumas)

9. Oct 29 12:15 - Data Warehouses in practice (Kalle Tomingas)

Kimball vs Inmon - philosophy of data warehousing.

10. Nov 5 - Machine Learning. Part I: Basics. (Konstantin Tretjakov)

11. Nov 12 - Machine Learning. Part II: Supervised learning.
(Konstantin Tretjakov)

12. Nov 19 - Machine Learning. Part III: Statistical learning. SVMs.
(Konstantin Tretjakov)

13. Nov 26 - Streams, time series

14. Dec 3 - no lecture or seminar :-( (Jaak @ conference)

15., 16. Dec 10 - Information Retrieval, Text mining, Graph mining, social network analysis

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