@misc{Aswani_Kumar_Cherukuri_Knowledge,
 author={Aswani Kumar, Cherukuri},
 howpublished={online},
 publisher={Zielona Góra: Uniwersytet Zielonogórski},
 language={eng},
 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.},
 type={artykuł},
 title={Knowledge discovery in data using formal concept analysis and random projections},
 keywords={attribute implications, concept lattices, dimensionality reduction, formal concept analysis, knowledge discovery, random projections},
}