EE 380L : Data Mining

Spring 2006
Prof. Joydeep Ghosh
 

Term Project Schedule

Presentation Time:
Group of 1: 12 mins
Group of 2: 15 mins
Group of 3: 20 mins
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


Last updated 03/2006