| Lecture No | Date | Viewing | Printing | Notes | Lecturer | Chapters (textbook) |
|---|---|---|---|---|---|---|
| Lecture 1 (1hr) | Feb 24 | ppt, pdf | Introduction to DW & DM | Weifa Liang | Chap 1 | |
| Lecture 2 (2hrs) | Feb 25 | ppt | Relation between DW & DM | Weifa Liang | Chap 1 & 3 | |
| Lecture 3 (1hr) | March 3 | lec. 03 ppt, lec.03 pdf, | lec.3 pdf | Overview of data preprocessing/Descriptive data summarization | Weifa Liang | Chapter 2 |
| Lecture 4 (2hrs) | March 4 | lec. 04 ppt, lec.04 pdf, | lec.04 pdf | Data Cleaning/Data Integration/Data Transformation | Weifa Liang | Chapter 2 | Lecture 5 (1hr) | March 10 | lec. 05 ppt, lec.05 pdf, | lec.05 pdf | Data reduction | Weifa Liang | Chapter 2 |
| Lecture 6 (2hrs) | March 11 | lec.06 pdf, | lec.06 pdf | Data Linkage and Geocode matching | Peter Christen | Not covered in text book! |
| Lecture 7 (1hr) | March 17 | lec. 05b ppt, lec.05b pdf, | lec.05b pdf | Data discretization and concept hierarchy generation and summary | Weifa Liang | Chapter 2 |
| Lecture 8 (2hrs) | March 18 | lec. 07 ppt, lec.07 pdf | lec.07 pdf | Data Warehousing (A multi-dimensional data model) | Weifa Liang | Chapter 3 |
| March 24 | no lecture | Lecture 9 (2hrs) | March 25 | lec. 08 ppt, lec.08 pdf,, OLAPoperation pdf, | lec.08 pdf | Data Warehousing (Data warehouse architecture Data warehouse implementation) |
Weifa Liang | Chapter 3 | Lecture 10 (1hr) | March 31 | lec. 09 ppt, lec.09 pdf, | lec.09 pdf | Data Cube Computation (I) | Weifa Liang | Chapter 4 | Lecture 11 (2hrs) | April 1 | lec. 09b ppt, lec.09 pdf, | lec.09 pdf | Data Cube Computation (II) | Weifa Liang | Chapter 4 |
| Mid Semester Break (Friday 10 April - Sunday 26 April) | ||||||
| Lecture 12 (1hr) | April 28 | DM-12.pdf | DM-12-print.pdf | Introduction to association mining | Denny | Chapter 4 |
| Lectures 13 and 14 (2hrs) | April 29 | DM-13.pdf DM-14.pdf |
DM-13-print.pdf DM-14-print.pdf |
Advanced association mining Introduction to cluster analysis |
Denny | Chapters 4 and 7 |
| Lecture 15 (1hr) | May 5 | DM-15.pdf | DM-15-print.pdf | Advanced cluster analysis | Denny | Chapter 7 |
| Lectures 16 and 17 (2hrs) | May 6 | DM-16.pdf DM-17.pdf |
DM-16-print.pdf DM-17-print.pdf |
Classification and prediction: Introduction and decision trees Bayesian classification and evaluating classifier accuracy |
Denny | Chapter 6 |
| Lecture 18 (1hr) | May 12 | DM-18.pdf | DM-18-print.pdf | Classification and prediction: Rule-based classification and artificial neural networks |
Denny | Chapter 6 |
| Lecture 19 (1hr) | May 13 | DM-19.pdf | DM-19-print.pdf | Classification and prediction: Support vector machines, other classification methods, and prediction |
Denny | Chapter 6 |
| Lecture 20 (1hr) | May 19 | DM-20.pdf | DM-20-print.pdf | Mining data streams and time series | Denny | Chapter 8 (Sections 1 and 2) |
| Lectures 21 and 22 (2hrs) | May 21 | DM-21.pdf DM-22.pdf |
DM-21-print.pdf DM-22-print.pdf |
Text data mining and Web data mining | Denny | Chapter 10 (Sections 4 and 5) |
| Lecture 23 (1hr) | May 26 | DM-23.pdf | DM-23-print.pdf | Privacy-preserving data mining and data sharing | Peter Christen | Not covered in text book! |
| Lecture 24 (1hr) | June 2 | DM-Exam.pdf | DM-Exam-print.pdf | Course review and exam preparation | Weifa Liang and Peter Christen |
|