Learn More
Data Mining and Knowledge Discovery is an indispensable technology for business and researches in many fields such as statistics, machine learning, pattern recognition, databases and high performance computing. In which Privacy Preserving Data Mining has the potential to increase the reach and benefits of data mining technology. This allows publishing a(More)
One motivation of grid computing is to aggregate the power of widely distributed resources, and provide non-trivial services to users. To achieve this goal, an efficient grid fault tolerance system is an essential part of the grid. Rather than covering the whole grid fault tolerance area, this survey provides a review of the subject mainly from the(More)
In statistical pattern recognition, the decision of which features to use is usually left to human judgment. If possible, automatic methods are desirable. Like multilayer perceptrons, learning subspace methods (LSMs) have the potential to integrate feature extraction and classification. In this paper, we propose two new algorithms, along with their(More)
A healthy and a sound banking system are very essential for an economy in order to grow and remain in this competitive environment. RBI and other regulatory bodies have taken several policies in the light of developing the functioning of the banking sector. The best indicator for the health of the banking industry in a country is its level of Non-performing(More)
All Rights Reserved iii ACKNOWLEDGEMENTS First of all, I'd like to thank my advisor, Prof. Michael Roukes, who has always been a strong support through all these years of my graduate career, and beyond. During my stay at Condensed Matter Physics at Caltech, I have been privileged to work with, and learn from, other members of the group. Special thanks goes(More)