| Group No. |
Team |
Title
|
| 1 |
Lee and Wei |
Mining Genome-wide SNP Datasets |
| 2 |
Barman, Bettadapura, and Dhandapani |
Sparse PCA for Oligonucleotide Microarray Data |
| 3 |
Sullivan and Iqbal |
Benchmark Subsetting |
| 4 |
Bhargava and Enderle |
Mobility Clustering |
| 5 |
Sharma, Daruru, and Venugopal |
Scalining Simultaneous Co-clustering and Learning (SCOAL) Framework to Large Scale Complex Dyadic Data |
| 6 |
Ganesan and Ponnappan |
Hierarchical Co-clustering of E-mail Dataset |
| 7 |
Chen and Su |
Predicting User Ratings of Movies Based on Movie Content Information and Neighborhood-based Collaborative Filtering |
| 8 |
Sastry and Janakiraman |
Financial Time Series Forecasting |
| 9 |
Liu, Wu, and Shao |
Automatic Sleep Stage Classification Using Ensemble Classifiers |
| 10 |
Lee, Prabhakar, and Raghavan |
Hierarchical Classification with Isotonic Smoothing |
| 11 |
Tsai and Su |
Major League Baseball - Salary Estimation Based on Performance |
| 12 |
Bansal |
Clustering Analysis of Twitter's User Community |