Class # | Date | Lecture | Reading | Assignments |
---|---|---|---|---|
Week 1 | ||||
1 | 8/23 | Introduction & Logistics | Ch. 1 | |
2 | 8/25 | Data Mining Applications | Ch. 1 | Project 0 (Due 9/1) |
Week 2 | ||||
3 | 8/30 | Weka | 1. Introduction to WEKA 2. Weka (Tutorial) (Data Processing with Weka) 3. Datasets in Weka Arff Formats |
Bring your laptop to class |
4 | 9/1 | Weka Practice | Bring your laptop to class; Weka exercise (Due: 9/8) | |
Week 3 | ||||
5 | 9/6 | Understanding Data | Ch. 2 | |
6 | 9/8 | Understanding Data | Ch. 2 | |
Week 4 | ||||
7 | 9/13 | Data Preprocessing | Ch. 3 | Homework 1 (Due 9/20) |
8 | 9/15 | Data Preprocessing | Ch. 3 | |
Week 5 | ||||
9 | 9/20 | Data Warehouse | Ch. 4 | Homework 2 (Due 9/27) |
10 | 9/22 | Data Warehouse | Ch. 4 | |
Week 6 | ||||
11 | 9/27 | Mining Frequent Patterns | 5.1-5.2 | Project 1 (Due: 10/13) |
12 | 9/29 | No class. Instructor will be traveling. | ||
Week 7 | ||||
13 | 10/4 | Association | 5.3 | |
14 | 10/6 | Class cancelled due to Hurricane Matthew | 5.4 | |
Week 8 | ||||
15 | 10/11 | Association: Interestingness Measures | 5.3 | |
16 | 10/13 | Classification: Decision Tree | 6.1-6.3 | Project 2 (Due: 11/3) |
Week 9 | ||||
17 | 10/18 | Classification: Bayesian | 6.4 | |
18 | 10/20 | Classification: Neural Networks | 6.6 | |
Week 10 | ||||
19 | 10/25 | Classification: Support Vector Machines | 6.7 | |
20 | 10/27 | Classification: K Nearest Neighbors | 6.9 | |
Week 11 | ||||
21 | 11/1 | Model Selection and Evaluation, Prediction, Ensemble Methods | 6.12-15 | |
22 | 11/3 | Clustering: Introduction, Partitioning Methods | 7.1-7.4 | Final Project (Due: 12/9) |
Week 12 | ||||
23 | 11/8 | No class: Review for Midterm | ||
24 | 11/10 | Midterm Review | ||
Week 13 | ||||
25 | 11/15 | Mid-term Exam | ||
26 | 11/17 | Mid-term Exam Questions Review | ||
Week 14 | ||||
27 | 11/22 | Clustering: Hierarchical Methods | 7.5 | |
28 | 11/24 | Thanksgiving Holiday | ||
Week 15 | ||||
29 | 11/29 | Project Presentation 1 | ||
30 | 12/1 | Project Presentation 2 |