| Office Hours: | Tuesday (T) 3:45 -- 5:00 pm | Thursday (R) 3:45 -- 5:00 pm |
| At other times, please send email. |
Texts That Might be Used (Optional)
- Han, J. and Kamber, Micheline, Data Mining: Concepts and Techniques, Morgan Kaufmann, 2001.
- Witten, I.H., and Frank, E., Data Mining, 2nd edition.
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
15% --- oral presentation and written summary of a research paper 30% --- assignments 10% --- project proposal, due July 16, 2012 30% --- final project report (written presentation), due August 20, 2012, 5 pm. 5% --- final project, oral presentation, August 21, 2012, 1:00--5:00 pm 10% --- midterm examination, June 25, 2012, 1:00 pm 5% --- instructor discretion
Other Dates
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
- 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 Research Papers
- late June 2012
- Project Presentations
- mid August 2012
