CS 525D Fall 2009 - Schedule of Classes

Computer Science Department

CS525D Knowledge Discovery and Data Mining
Schedule of Classes - Fall 2009

PROF. CAROLINA RUIZ

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

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