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Paper details
Number 4 - December 2011
Volume 21 - 2011
Knowledge discovery in data using formal concept analysis and random projections
Cherukuri Aswani Kumar
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.
Keywords
attribute implications, concept lattices, dimensionality reduction, formal concept analysis, knowledge discovery, random projections