A Unified Theoretical Framework for Data Mining

Abstract The pattern extraction and discovery of useful information from a dataset are the foremost purposes of data mining; the outcome of this process is the ‘knowledge’ which is helpful in taking the decision. For the past decade there have been multiple attempts and strong beliefs in the development and the formulation of the unified data mining frameworks that would answer to the fundamental versions related to the discovery of knowledge. In this paper we are presenting a novel unified framework for data mining conceptualized through the composite functions. The framework is further illustrated with a variety of real life datasets using different data mining algorithms.

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