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EE 380L : Data MiningSpring 2006Prof. Joydeep Ghosh |
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Term Project Schedule
Presentation Time:| Group | Group members | Titles | Presentation day |
| 1 | Huynh and Vu |
Multi-way Clustering on Graphs |
25th April |
| 2 | Bhargava, Ravi, Shen, and Yu |
Semi-supervised Text Classification |
25th April |
| 3 | Rajamani, Khan and Shukla |
An Ensemble Approach to Data Stream Mining |
25th April |
| 4 | Kaseridis |
Study of Principal Component Analysis for Microarchitecture Performance Evaluation |
25th April |
| 5 | Kulkarni and Agashe |
Comparing Classification Algorithms in Predicting Forest Cover Types |
27th April |
| 6 | Kamath, Prigden and Rajamani |
Applications of Data Mining to Digital Forensics |
27th April |
| 7 | Chen and Chen |
Active Learning for Class Probability Estimation with Bregman Divergence |
27th April |
| 8 | Pottamsetty, Shakil and Sridharan |
Yeast Gene Regulation Prediction |
27th April |
| 9 | Paek |
Distributed Event Streaming Mining for RFID Applications |
2nd May |
| 10 | Jun and Yang |
Visualization of Blogosphere |
2nd May |
| 11 | Horn and Graff |
Time-domain Modeling of RF Devices |
2nd May |
| 12 | Zhang, Zaman,and Tan |
Clustering of High Dimensional Ion Implantation Process Data |
2nd May |