Korbicz, Józef - red. ; Uciński, Dariusz - red.
Knowledge discovery in data using formal concept analysis and random projections
Group publication title:
Subject and Keywords:
attribute implications ; concept lattices ; dimensionality reduction ; formal concept analysis ; knowledge discovery ; random projections
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.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, Volume 21, Number 4 (2011) ; click here to follow the link