IJFCS
2008
13 years 9 months ago
2008
We present an application of formal concept analysis aimed at representing a meaningful structure of knowledge communities in the form of a lattice-based taxonomy. The taxonomy gr...
CLA
2006
13 years 10 months ago
2006
Formal Concept Analysis (FCA) considers attributes as a non-ordered set. This is appropriate when the data set is not structured. When an attribute taxonomy exists, existing techni...
CLA
2006
13 years 10 months ago
2006
Abstract. Design defects are poor design choices resulting in a hard-tomaintain software, hence their detection and correction are key steps of a disciplined software process aimed...
CLA
2006
13 years 10 months ago
2006
We present an application of formal concept analysis aimed at creating and representing a meaningful structure of knowledge communities under the form of a lattice-based taxonomy ...
CLA
2004
13 years 10 months ago
2004
In Formal Concept Analysis, it is a very important but quite difficult task to draw line diagrams of concept lattices automatically. In particular, we want every planar lattice to ...
CLA
2004
13 years 10 months ago
2004
cessary to abstract it and eliminate the redundancy data. In this context, a method for data reduction based on the formal concept analysis is proposed in [16,17]. At the same time...
CLA
2004
13 years 10 months ago
2004
An important problem in applications of formal concept analysis is a possibly large number of clusters extracted from data. Factorization is one of the methods being used to cope w...
NIPS
2008
13 years 10 months ago
2008
We propose a novel application of Formal Concept Analysis (FCA) to neural decoding: instead of just trying to figure out which stimulus was presented, we demonstrate how to explor...
MIE
2008
13 years 10 months ago
2008
: The pharmacovigilance databases consist of several case reports involving drugs and adverse events (AEs). Some methods are applied consistently to highlight all signals, i.e. all...
IJCAI
2007
13 years 10 months ago
2007
Motivated by basic ideas from formal concept analysis, we propose two ways to directly encode closure operators on finite sets in a 3-layered feed forward neural network.