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Knowledge discovery in data using formal concept analysis and random projections

Aswani Kumar Ch.

International Journal of Applied Mathematics and Computer Science

2011

Vol. 21, no 4

745-756

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.