Week 1 (Intro. of Data Mining)
Week 2 (DW and OLAP, My talk on OLAM for Web Usage Mining from the following paper
A Data Warehouse/OLAP Framework for Web Usage Mining and Business Intelligence Reporting
in International Journal of Intelligence Systems, Vol. 19, No. 7, July 2004, pp 567-584
Week 3 (Association Rule, Hu’s paper related to visualization-based association rules algorithms)
Week 4 (Data Mining Pre-processing,
Hu X., DBHReduction: A Preprocessing Algorithm for Data Mining Application
( pdf version ) Applied Mathematics Letters, volume 16, issue 6, pp 889-895, 2003.)
Week 5 & 6 (Classification and Prediction, Case study using classification method for attrition analysis for a leading bank,
Hu, X., A
Data Mining Approach for Retail Banking Attrition Analysis , International Journal of Applied Intelligence, 22(1):47-60, Jan-Feb.,
2005)
Week 7 (Clustering)
Week 8 Graph-Mining, Social network analysis
Reading Hu’s paper on Mining Protein-protein interaction network and the topological Analysis of protein-protein interaction analysis (ppt
)
Reading:
Han and Kamber: Chapter 10
Week
10: Data mining applications and trends