Databases & Data Mining

Autumn 2011

(Last updated: 27-1 2012: Deadlines Assignment 4 and 5 have been extended.)

 

Organizer:                 Dr Erwin M Bakker

Teaching Assistants: M.Sc. Hossein Rahmani (Room 124)

                                            

Period: September 13th - December 13th 2011

Place:   Room 412 (LIACS, Snelliusgebouw)

Time:   13.45 - 15.30

 

ECTS: 6

 

Description: The course Databases & Data Mining consists of a series of lectures in which advanced database and data mining techniques will be discussed, with applications to bioinformatics.

 

Grading:

There will be a total of 5 database - and data mining assignments. The final grade will be based on a weighted average of the grades (P1, ..., P5) obtained for the 5 assignments: Final Grade = (P2 + P3 +2*P4 + 2*P5)/6, and P1 should be 'g', a pass.

 

Schedule:

 
Date Subject
13-9  Introduction
20-9  The Evolution of Database Technology
27-9  Data
4-10  No Class.
11-10  Data Preprocessing, Data Warehouses (OLAP) & Data Cubes
18-10  Grand Challenges and State of the Art. (Part I)
25-10  Grand Challenges and State of the Art. (Part II and Data Cubes
1-11  Data Cubes Computation
8-11  No Class
15-11  Data Mining Basic Algorithms
22-11  Data Mining Basic Algorithms (cont'd)
29-11  Data Mining Advanced
6-12  Applications: Bio-Sequencing, Social Networks
13-12  Graph Mining (by M.Sc. Hossein Rahmani) (Slides Introduction_on Graph Mining from book.)
20-12  Questions Hour

 

Note: Slides will be made available right after the lectures.

 

Assignments:

 

Here new assignments will be available. Announcements will be made during class. For questions about the assignments please contact the teaching assistant

Book used during the course:

  • J. Han, M. Kamber, J. Pei. Data Mining Concepts and Techniques (3rd Edition), Morgan Kaufman Publishers, July 2011 (ISBN 978-0123814791)

Links:

 

Data Sets

Genome Databases and Research