CS 525D Spring 2008 - Schedule of Classes

Computer Science Department

CS525D Knowledge Discovery and Data Mining
Schedule of Classes - Spring 2008

PROF. CAROLINA RUIZ

WARNING: Changes to this schedule may be made during the course of the semester.

WEEK	DATE	DUE	TOPIC	READINGS
1	Jan. 15 & 17		Introduction to KDD & Data Mining	Chp. 1 & 9, assigned papers
2	Jan. 22 & 24		Data & Data Preparation Concepts, instances, attributes Data integration Data preprocessing	2, 7.1-7.3, 10.1-10.3, 10.8
3	Jan. 29 & 31		Data & Data Preparation (cont.) Data warehousing & OLAP Attribute selection Dimensionality reduction	2, 7.1-7.3, 10.1-10.3, 10.8
4	Feb. 5 & 7	Project 1	Mining process Training and Testing Cross validation Performance evaluation Project 1 presentations	5.1-5.4, 5.8
5	Feb. 12 & 14		Classification Decision trees	3.2, 4.3, 6.1
6	Feb. 19 & 21		Numeric Predictions model trees regression trees	3.7, 4.6, 6.5, 5.8
7	Feb. 26 & 28	Project 2	Project 2 presentations Association Analysis association rules	3.4, 4.5, assigned papers
8	Mar. 4 & 6	Project 3	Association Analysis (cont.) association rules Project 3 presentations	3.4, 4.5, assigned papers
9	Mar. 11 & 13	Project 4	Cluster Analysis partitioning methods hierarchical methods density-based methods Project 4 presentations	3.9, 4.8, 6.6
10	Mar. 18 & 20		Cluster Analysis (cont.) grid-based methods model-based methods	3.9, 4.8, 6.6
11	Mar. 25 & 27		Anomaly Detection model-based methods proximity-based methods density-based methods	7.4, assigned papers
12	April 1 & 3	Project 5	Advanced topics Visualization Web mining Project 5 presentations	8, assigned papers
13	April 8 & 10		Advanced topics (cont.) Similarity search Sequence mining Multimedia data mining	8, assigned papers
14	April 15 & 17	Project 6	Advanced topics (cont.) Text mining Industrial applications of data mining Scientific applications of data mining Project 6 presentations	8, assigned papers
15	April 22 & 24		make-up week for snow or other cancellations