| Office Hours: | Tuesday (T) 1:15 -- 2:45 pm | Thursday (R) 1:15 -- 2:45 pm |
| At other times, please send email. |
Texts That Might be Used (Optional)
- Berry, M.J.A., and Linoff, G.S., Mastering Data Mining: The Art and Science of Customer Relationship Management, Wiley, New York, 2000.
- Fayyad, U. M., Piatetsky-Shapiro, G., Smyth, P., and Uthurusamy, R., (eds.), Advances in Knowledge Discovery and Data Mining, AAAI Press / The MIT Press, 1996.
- Han, J. and Kamber, Micheline, Data Mining: Concepts and Techniques, Morgan Kaufmann, 2001.
- Piatetsky-Shapiro, G. and Frawley, W.J., Knowledge Discovery in Databases, AAAI Press / The MIT Press, 1991.
- Witten, I.H., and Frank, E., Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations, Morgan Kaufmann, 2000.
Reference Works
- IEEE Transactions on Knowledge and Data Engineering. Journal in library.
- Data Mining and Knowledge Discovery. Journal.
- Proceedings of the International Workshop/Conference on Knowledge Discovery in Databases: KDD-93, ..., KDD-2001.
- Proceedings of the European Conference on the Principles of Knowledge Discovery in Databases: PKDD-97, ..., PKDD-2001.
- Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining: PAKDD-97, ..., PAKDD-2001.
Grading
10% --- oral presentation of a research paper 10% --- written summary of a research paper 10% --- project proposal, due Feb. 14, 2002 (okay by noon Feb. 15) 40% --- final project report (written presentation), due Apr. 15, 2002, 9 am. 10% --- final project, oral presentation, Apr. 15--16, 2002, 9:00--12:00 15% --- midterm examination, February 26, 2002, 1:00 -- 2:15 pm 5% --- class participation
Other Dates
Midterm break: Monday, February 18-22 (No lectures or office hours) Drop date: Friday, March 15, 1997
Topic Outline and Readings
- Overview of Knowledge Discovery in Databases
- Fayyad, U. and Uthurusamy, R., "The KDD Process for Extracting Useful Knowledge From Volumes of Data, " in Fayyad, U. M., Piatetsky-Shapiro, G., Smyth, P., and Uthurusamy, R., (eds.), Advances in Knowledge Discovery and Data Mining, AAAI Press / The MIT Press, 1996, pp. 1-31
- Frawley, W.J., Piatetsky-Shapiro, G., and Matheus, C.J., "Knowledge Discovery in Databases: An Overview, " in Piatetsky-Shapiro, G. and Frawley, W.J., Knowledge Discovery in Databases, AAAI Press / The MIT Press, 1991.
- Knowledge Discovery Systems and Applications
- Weka
- Machine Learning Background
- Terminology and Version Spaces
- R. Quinlan, C4.5: Programs for Machine Learning, Morgan Kaufmann, 1991.
- Evaluation of Data Mining
- Confusion Matrix
- ROC Graph
- Cumulative Gains Chart and Lift
- Data Cubes and Summarization
- Itemsets
- Support Measures
- Apriori Itemset Generation
- Share Measures
- Another Example of Support and Share Measures
- Apriori Program
- Dynamic Itemsets
- Dynamic Itemset Program
- Clustering
- Student Presentations of Current (2001-2002) Research Papers
- Recent Developments on Above Topics
- Mining the Data Stream
- Temporal Data Mining
- Web Data Mining
- Project Presentations
- April 15-16, 2002
