Knowledge discovery in data using formal concept analysis and random projections

  • Authors:
  • Cherukuri Kumar

  • Affiliations:
  • Networks and Information Security Division, School of Information Technology and Engineering, VIT University, Vellore, India

  • Venue:
  • International Journal of Applied Mathematics and Computer Science
  • Year:
  • 2011

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Abstract

In this paper our objective is to propose a random projections based formal concept analysis for knowledge discovery in data. We demonstrate the implementation of the proposed method on two real world healthcare datasets. Formal Concept Analysis (FCA) is a mathematical framework that offers a conceptual knowledge representation through hierarchical conceptual structures called concept lattices. However, during the design of a concept lattice, complexity plays a major role.