| Lecture No | Date | Viewing | Printing | Notes | Lecturer | Chapters (textbook) |
|---|---|---|---|---|---|---|
| Lecture 1 (2hrs) | Feb 23 | lec01.ppt, lec01.pdf | Introduction to Data Mining | Weifa Liang | Chap 1 | |
| Lecture 2 (1hr) | March 1 | lec02.ppt , lec02.pdf | Introduction to Data Warehousing | Weifa Liang | Chapters 1 & 3 | |
| Lecture 3 (2hrs) | March 2 | lec.03 ppt, lec.03 pdf, | Overview of data preprocessing Descriptive data summarization |
Weifa Liang | Chapter 2 | |
| Lecture 4 (2hrs) | March 9 | lec. 04 ppt, lec.04 pdf, | lec.04 pdf | Data Cleaning/Data Integration/Data Transformation | Weifa Liang | Chapter 2 | Lecture 5 (1hr) | March 15 | lec. 05 ppt, lec.05 pdf, | lec.05 pdf | Data reduction | Weifa Liang | Chapter 2 |
| Lecture 6 (2hrs) | March 16 | lec. 06 ppt, lec.06 pdf, | lec.06 pdf | Data discretization and concept hierarchy generation and summary |
Weifa Liang | Chapter 2 |
| Lecture 7 (1 hr) | March 22 | lecture slides, 1up, pdf, | lecture slides, 4up, pdf | Data Linkage and geocode matching | Peter Christen | This lecture is not covered in text book, it is however part of the assessable course material! |
| Lecture 8 (2hrs) | March 23 | lec. 07 ppt, lec.07 pdf, | lec.07 pdf | Data Warehousing and OLAP Technology | Weifa Liang | Chapter 3 |
| Lecture 9 (1hr) | March 29 | lec. 08 ppt, lec.08 pdf | lec.08 pdf | Data Warehousing (A multi-dimensional data model) | Weifa Liang | Chapter 3 | Lecture 10 (2hrs) | March 30 | lec. 09 ppt, lec.09 pdf, | lec.09 pdf | Data Cube Computation | Weifa Liang | Chapter 4 |
| Mid Semester Break ( Friday 2 April - Sunday 18 April) | ||||||
| Lecture 11 (1hr) | April 19 | lec. 10 ppt, lec.10 pdf, | lec.10 pdf | High Dimensional OLAP query | Weifa Liang | Chapter 4 |
| Lecture 12 (2 hrs) | April 20 | data-mining-01.pdf (1up) / data-mining-02.pdf (1up) |
data-mining-01.pdf (4up) / data-mining-02.pdf (4up) |
Introduction to association mining and Advanced association mining |
Peter | Chapter 5 |
| Lecture 13 (2 hrs) | April 27 | data-mining-03.pdf (1up) / data-mining-04.pdf (1up) |
data-mining-03.pdf (4up) / data-mining-04.pdf (4up) |
Introduction to cluster analysis and Advanced cluster analysis |
Peter | Chapter 7 |
| Lecture 14 (2hrs) | May 4 | lec14.pdf | lec14_print.pdf | Data Warehousing Review session | Michael Stevens | Chapters 1-4 |
| Lecture 15 (1 hr) | May 10 | data-mining-05.pdf (1up) | data-mining-05.pdf (4up) | Classification and prediction: Introduction and Decision Tree Induction | Peter | Chapter 6 |
| Lecture 16 (2 hrs) | May 11 | data-mining-06.pdf (1up) / data-mining-07.pdf (1up) |
data-mining-06.pdf (4up) / data-mining-07.pdf (4up) |
Classification and prediction: Bayesian
classification and evaluating classifier
accuracy and Rule-based classification and
artificial neural networks |
Peter | Chapter 6 |
| Lecture 17 (1 hr) | May 17 | data-mining-08.pdf (1up) | data-mining-08.pdf (4up) | Classification and prediction: Support vector machines, other classification methods, and prediction | Peter | Chapter 6 |
| Lecture 18 (2 hrs) | May 18 | data-mining-09.pdf (1up) / data-mining-10.pdf (1up) |
data-mining-09.pdf (4up) / data-mining-10.pdf (4up) |
Mining data streams and time series and
Privacy preserving data mining and data sharing
|
Peter | Chapter 8 (Note that privacy preservation is NOT covered in the textbook!) |
| Lecture 19 (2 hrs) | May 25 | data-mining-11.pdf (1up) / data-mining-12.pdf (1up) |
data-mining-11.pdf (4up) / data-mining-12.pdf (4up) |
Text data mining and
Web data mining
|
Peter | Chapter 10 |
| Lecture 20 (1hr) | June 1 | DM-Exam.pdf | DM-Exam-print.pdf | Course review and exam preparation | Peter and Weifa | |