|
Data Mining |
| EECS-4412 |
| Winter 2019 |
|
York University
|
| Date | Content | 2 slides per page | 6 slides per page |
| January 7 | Introduction to Data Mining and to the Course | ||
| January 9 | Introduction to Data Mining (cont'd) | ||
| January 14 | Frequent Pattern and Association Rule Learning (Part 1) | ||
| January 16 | Frequent Pattern and Association Rule Learning (Part 2) | ||
| January 21 | Frequent Pattern and Association Rule Learning (Part 3) | ||
| January 23 | Sequential Pattern Mining (Part 1) | ||
| January 28 | Sequential Pattern Mining (Part 2) | ||
| January 30 | Decision Tree Leaning (Part 1) | ||
| February 4 | Decision Tree Learning (Part 2) | ||
| February 11 | Data Preparation (Part 1) | ||
| February 13 | Data Preparation (Part 2) | ||
| February 25 | Data Preparation (Part 3) | ||
| March 4 | K Nearest Neighbour Classifier and Performance Evaluation | kNN Performance | kNN Performance |
| March 6 | Decision Rule Learning | ||
| March 11 | Bayesian classification | ||
| March 13 | Neural networks | ||
| November 16 | Introduction to Deep Neural Networks, and Text classification |
Deep Neural Networks Text Classification |
Deep Neural Networks Text Classification |
| March 20 | Clustering (1) | ||
| March 25 | Clustering (2) | ||
| March 27 | Data Warehousing and OLAP (1) | ||
| April 1 | Reinforcement Learning | ||
| April 3 | Data Warehousing and OLAP (2) and Emotion Detection |
Data Warehousing and OLAP (2) Emotion Detection |
Data Warehousing and OLAP (2) Emotion Detection |