CAP4770 Introduction to Data Mining

Fall 2016

Course Calendar (tentative)

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