Data Warehousing and Machine Learning (Data Mining)
Spring 2002
Together, data warehousing and machine learning comprise what is known as data mining or knowledge discovery in databases (KDD). Data warehousing can be briefly described as creating a copy of transaction data specifically structured for query and analysis. Machine learning is concerned with computer programs that automatically improve their performance through experience.
A more detailed description of data mining and the contents of this course can be found in a PDF document (also available as a PostScript document).
Michael O. Akinde, room no. E1-201b.
Uffe B. Kjærulff, room no. E1-101a.
Tom Mitchell (1997),
Machine Learning, McGraw Hill.
Available at
Aalborg Centerboghandel, Fredrik Bajers Vej 7B, at a price of DKK
470 (10% discount for students).
Errata for printings one and two available in PostScript and PDF
formats.
Review of the book available in PostScript
and PDF formats.
Topic |
Date & time |
Room | |
1 |
Introduction to Data Warehousing | Mon 25 Feb 10:15 | E1-214 |
2 |
Introduction to Machine Learning | Wed 27 Feb 10:15 | E1-214 |
3 |
Advanced Multi-dimensional Modelling | Thu 21 Mar 12:00-16:00 | E1-212 |
4 |
Decision Trees | Wed 6 Mar 10:15 | E1-214 |
5 |
Building the Data Warehouse | Thu 21 Mar 12:00-16:00 | E1-212 |
6 |
Artificial Neural Networks | Wed 13 Mar 10:15 | E1-214 |
7 |
Complex OLAP | Fri 22 Mar 8:00-16:00 | E1-214 |
8 |
Bayesian Learning: MAP & ML | Wed 3 Apr 8:30 | E1-214 |
9 |
Data Mining - A Database Perspective | Fri 5 Apr 9:30-16:00 | E1-212 |
10 |
Bayesian Networks, EM Algorithm | Wed 3 Apr 10:15 | E1-214 |
11 |
Some Other Machine Learning Algorithms | Wed 10 Apr 10:15 | E1-214 |
12 |
DW Workshop | Fri 17 May 8:30 | E1-214 |
13 |
DW Workshop | Fri 17 May 10:15 | E1-214 |
14 |
ML Workshop | Fri 17 May 12:30 | E1-214 |
15 |
ML Workshop | Fri 17 May 14:15 | E1-214 |
Examination requirements (ps file or pdf file)
This page is maintained by
Uffe Kjærulff.
Last updated 6 June 2002.