|
Data Mining |
| EECS-4412 |
| Fall 2016 |
|
York University
|
| Date | Content | 2 slides per page | 6 slides per page |
| September 8 | Introduction to Data Mining and to the Course | ||
| September 13 | Introduction to Data Mining (cont'd) | ||
| September 15 | Frequent Pattern and Association Rule Learning (Part 1) | ||
| September 20 | Frequent Pattern and Association Rule Learning (Part 2) | ||
| September 22 | Frequent Pattern and Association Rule Learning (Part 3) | ||
| September 27 | Sequential Pattern Mining (Part 1) | ||
| September 29 | Sequential Pattern Mining (Part 2) | ||
| October 4 | Decision Tree Leaning (Part 1) | ||
| October 6 | Decision Tree Learning (Part 2) | ||
| October 11 | Data Preparation (Part 1) | ||
| October 13 | Data Preparation (Part 2) | ||
| October 18 | Data Preparation (Part 3) | ||
| October 20 | Decision Rule Learning | ||
| October 25 | K Nearest Neighbour Classifier and Midterm Discussion | kNN | kNN |
| November 3 | Performance Evaluation | ||
| November 8 | Bayesian classification | ||
| November 10 | Neural networks | ||
| November 15 | Text classification and Factor Magnitude Detection from Text | Text Classification Factor Magnitude Detection | Text Classification Factor Magnitude Detection |
| November 17 | Clustering (1) | ||
| November 22 | Clustering (2) | ||
| November 24 | Data Warehousing and OLAP (1) | ||
| November 29 | Data Warehousing and OLAP (2) |