A Unified Theoretical Framework for Data Mining

نویسندگان

  • Dost Muhammad Khan
  • Nawaz Mohamudally
  • D. K. R. Babajee
چکیده

The pattern extraction and discovery of useful information from a dataset are the foremost purposes of data mining; the 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. © 2013 The Authors. Published by Elsevier B.V. Selection and/or peer-review under responsibility of the organizers of the 2013 International Conference on Computational Science

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تاریخ انتشار 2013