|
Data Mining |
| EECS-4412 |
| Fall 2017 |
|
York University
|
| Date | Content | 2 slides per page | 6 slides per page |
| September 7 | Introduction to Data Mining and to the Course | ||
| September 12 | Introduction to Data Mining (cont'd) | ||
| September 14 | Frequent Pattern and Association Rule Learning (Part 1) | ||
| September 19 | Frequent Pattern and Association Rule Learning (Part 2) | ||
| September 21 | Frequent Pattern and Association Rule Learning (Part 3) | ||
| September 26 | Sequential Pattern Mining (Part 1) | ||
| September 28 | Sequential Pattern Mining (Part 2) | ||
| October 3 | Decision Tree Leaning (Part 1) | ||
| October 5 | Decision Tree Learning (Part 2) | ||
| October 10 | Decision Tree Learning (Part 3) | See above | See above |
| October 12 | Data Preparation (Part 1) | ||
| October 17 | Data Preparation (Part 2) | ||
| October 19 | Data Preparation (Part 3) | ||
| October 24 | Decision Rule Learning | ||
| October 31 | Performance Evaluation | ||
| November 7 | Bayesian classification | ||
| November 9 | K Nearest Neighbour Classifier | kNN | kNN |
| November 14 | Neural networks | ||
| November 16 | Text classification and Factor Magnitude Detection from Text | Text Classification Factor Magnitude Detection | Text Classification Factor Magnitude Detection |
| November 21 | Clustering (1) | ||
| November 23 | Clustering (2) | ||
| November 28 | Data Warehousing and OLAP (1) | ||
| November 30 | Data Warehousing and OLAP (2) |