Publication

Abstract : Biological Datamining is the process of extracting or mining, analyzing the biological information from the large biological database for discovering new knowledge that can be translated in to clinical applications. Feature Selection is the process of identifying the most relevant feature from a given dataset which is encountered in many fields such as Machine Learning, Image Processing, Signal Processing and Pattern recognition. Feature Selection Process should preserve the exact content after reduction. Rough Set theory plays vital role in Feature Selection. In this paper Rough Set Attribute reduction through Quick Reduct algorithm is performed for public domain data set available in UCI repository.