Semester week
(year week) |
Date
|
Lecture
|
Tutorials / Labs
|
Assignments |
| 1 (8) |
19 Feb |
Course introduction and
data mining overview;
The data mining process; |
No lab or tutorial. |
|
| 2 (9) |
26 Feb
|
Data issues in data mining;
Data pre-processing
|
No lab or tutorial. |
|
| 3 (10) |
5 Mar |
Data integration and
data linkage |
Laboratory 1
(Introduction to Rattle) |
Assignment 1 released |
| 4 (11) |
12 Mar |
Mining frequent patterns and associations |
Tutorial 1
(Rahm and Do, 2000: Data cleaning) |
|
| 5 (12) |
19 Mar |
Cluster analysis
|
Laboratory 2
(Association rules in Rattle) |
|
| 6 (13) |
26 Mar |
Classification and prediction (1) |
Tutorial 2
(Agrawal and Srikant, 1994: Fast Algorithms for Mining Association Rules) |
Assignment 1 due
(Wednesday 27 March, 5 pm)
Assignment 2 released |
| Mid Semester Break (Friday 29 March to Sunday 14 April) |
| 7 (16) |
16 Apr |
No lectures - Peter at PAKDD conference |
| 8 (17) |
23 Apr |
Classification and prediction (2) |
Laboratory 3
(Decision trees in Rattle)
|
|
| 9 (18) |
30 Apr
|
Outlier detection;
Privacy-preserving data mining |
Tutorial 3
(Hand, 2006: Classifier technology)
|
|
| 10 (19) |
7 May |
Text data mining;
Web data mining
|
Laboratory 4
(SVM and other classifiers in Rattle)
|
|
| 11 (20) |
14 May |
Mining data streams and time series;
Data mining trends, social impacts and course review
|
Tutorial 4
(Verykios et al., 2004: Privacy-preserving data mining)
|
|
| 12 (21) |
21 May |
Student research paper presentations;
Guest lecture (Graham Williams, End-to-end data mining, data mining at the ATO) |
Student research paper presentations |
Assignment 2 due
(Wednesday 22 May, 5 pm) |
| 13 (22) |
28 May
|
Student research paper presentations;
Data mining trends, social impacts and course review
|
Student research paper presentations |
Paper presentation report due
(Wednesday 29 May, 5 pm) |
