CS 4445 B Term 2014 - Class Schedule

Computer Science Department

WARNING: Small changes to this schedule may be made during the course of the term.

Week	Date		Due	Topic	Book Chapters/Sections
1	Th	Oct 30		Introduction to KDD and Data Mining Data and Data Preprocessing	1, 2
2	Mo	Nov 03		Data Exploration Data Visualization Data Integration and OLAP Classification: Decision trees Project 1 presentations	3, 4.1,4.2, 4.3
2	Th	Nov 06	Proj1		3, 4.1,4.2, 4.3
3	Mo	Nov 10		Classification: Model Evaluation Classification: Bayesian Nets Project 2 presentations	4.5, 5.3
3	Th	Nov 13	Proj2 (with solutions)		4.5, 5.3
4	Mo	Nov 17		Classification: Bayesian Nets (Cont.) Classification Rules	5.1
4	Th	Nov 20	Proj3 (with solutions)	Classification: Bayesian Nets (Cont.) Classification Rules	5.1
5	Mo	Nov 24	Exam1 solutions	Project 3 presentations Exam 1 topics & sample questions Exam 1
6	Mo	Dec 01		Association Rules Clustering	6.1, 6.2, 6.3, 6.7, 8.
6	Th	Dec 04		Association Rules Clustering	6.1, 6.2, 6.3, 6.7, 8.
7	Mo	Dec 08	Proj4 (with solutions)	Project 4 presentations Anomaly Detection Text Mining Web Mining	10
7	Th	Dec 11			10
8	Mo	Dec 15	Exam2 solutions	Review Exam 2 Exam 2 topics & sample questions Project 5 presentations
8	Th	Dec 18	Proj5