Data Mining |
EECS-4412 |
Winter 2020 |
York University
|
Date | Content | 2 slides per page | 6 slides per page |
January 6 | Introduction to Data Mining and to the Course | ||
January 8 | Introduction to Data Mining (cont'd) | ||
January 13 | Frequent Pattern and Association Rule Learning (Part 1) | ||
January 15 | Frequent Pattern and Association Rule Learning (Part 2) | ||
January 20 | Frequent Pattern and Association Rule Learning (Part 3) | ||
January 22 | Sequential Pattern Mining (Part 1) | ||
January 27 | Sequential Pattern Mining (Part 2) | ||
January 29 | Decision Tree Leaning (Part 1) | ||
February 3 | Decision Tree Learning (Part 2) | ||
February 5 | Data Preparation (Part 1) | ||
February 10 | Data Preparation (Part 2) | ||
February 12 | Decision Rule Learning | ||
February 24 | Data Preparation (Part 3) | ||
February 26 | K Nearest Neighbour Classifier | ||
March 2 | Performance Evaluation | Performance | Performance |
March 9 | Bayesian classification | ||
March 11 | Neural networks (1) | ||
March 16 | Text Classification | ||
March 18 | Text Classification (Word Embeddings) | above | above |
March 23 | Neural Network (II) | ||
March 25 | Clustering (1) | ||
March 30 | Clustering (2) | ||
April 1 | Clustering (2) (Continued) | See slides above | See above |
NA | Data Warehousing and OLAP (1) | ||
NA | Data Warehousing and OLAP (2) |