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Contact Me
Office: 4423 Engr Building
Office Hours: T 4:00-5:00 pm
rangwala@cs.gmu.edu
703-993-3826
Assignments
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Final Project Report Guidelines |
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| Please download the Project Report Guidelines. It is due on 12.08.2008. It should be 12 point, Times New Roman (Max Pages: 8). |
Scoring Guidelines for the Project.
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Assignment 3 (Association, Clustering, Classification) |
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| Please download the assignment questions. It is due on 11.10.2008. The associated data with this project include the iris dataset (here) and a market basket data (here). Please email me or the TA for questions, or use the discussion forum. |
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Assignment 2 (Data Warehousing, Classification) |
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| Please download the assignment questions. It is due on 10.13.2008. Please email me or the TA for questions, or use the discussion forum. |
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Project Proposal Guidelines (Due: 10/20/2008) |
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| Please download the guidelines file. |
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Assignment 1 (Data) |
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| Please download the assignment questions and data in weka format ( heart-c and heart-h for doing assignment 1. It is due on 09.22.2008. Please email me or the TA for questions, or use the discussion forum. The data (used in Part 2) is from the UCI machine learning repository and more information about this data is available here . Have FUN! |
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News Highlights
- Syed F to join the Lab.
- Paper Accepted at Journal of Chemical Information & Modeling
- Huzefa to serve on program committee for SIAM Data Mining Conference 2010 (SDM 2010)
- Huzefa to serve on program committee for HiCOMB 2010
- New funding received from NSF IIS for bridging chemical and biological spaces.
- Two open positions for graduate students (MLBio+ Laboratory)
- Ammar submits his 1st paper!
- Salman's paper accepted at WISM-AICI 2009.
- Huzefa presents 2 posters at ISMB 2009
- Sheng Li and Anveshi join the lab this Fall
Bioinformatics & Data Mining
- PrePrint: Skewed Rotation Symmetry Group Detection
- PrePrint: Object Detection with Discriminatively Trained Part Based Models
- PrePrint: Large Scale Discovery of Spatially Related Images
- PrePrint: Epitomic Location Recognition
- PrePrint: Class Conditional Nearest Neighbor for Large Margin Instance Selection
