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Data mining:
This group is mainly involved in developing novel learning algorithms for a variety of neural network architectures. Applications include pattern mapping and pattern classification to real-world problems such as:
- Character recognition
- Hand-Written Text recognition
- Credit Risk Analysis
Web-mining:
This group is engaged in developing agent-based software for mining the web.
Bio-informatics:
The group has expertise in applying machine learning for diagnosing diseases. The projects include detection of:
- Breast cancer
- Primary tumors
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