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Reduction of Concepts from Generalized One-Sided Concept Lattice Based on Subsets Quality Measure
The method for evaluation of concepts from generalized one-sided concept lattices based on the quality measure of objects subsets is described, which is able to select most relevant concepts according to their quality, which can lead to useful reduction of information from concept lattice.
Distributed Computation of Generalized One-Sided Concept Lattices on Sparse Data Tables
The study on the usage of distributed version of the algorithm for generalized one-sided concept lattices (GOSCL), which provides a special case for fuzzy version of data analysis approach called formal concept analysis (FCA), and presents the experimental results on sparse data tables.
Basic theorem as representation of heterogeneous concept lattices
This work describes a transformation of heterogeneous formal context into a binary one, such that corresponding concept lattices will be isomorphic, and proves the correctness of this transformation by the basic theorem for heterogeneous as well as classical concept lattice.
Design and implementation of incremental algorithm for creation of generalized one-sided concept lattices
In this paper we describe incremental algorithm for generalized one-sided concept lattices based on the Galois connections within Formal Concept Analysis (FCA) framework, which allows to analyse
Use of Concept Lattices for Data Tables with Different Types of Attributes
This approach, called Generalized One-Sided Concept Lattices, provides a method which allows to create same FCA-based output in form of concept lattice with the precise many-valued attributes and the same interpretation of concept hierarchy as in the classical FCA, without the need for specific unified preprocessing of attribute values.
Bipolarized extension of heterogeneous concept lattices
The construction of heterogeneous concept lattices involves biresiduated mappings for defining particular Galois connections from entry values. The aim of this paper is to show that such construction
Multiple Data Tables Processing via One-Sided Concept Lattices
This chapter describes closure operator, which corresponds to the intersection of particular closure systems obtained from various object-attribute models with different types of attributes.
Cloud computing as a platform for distributed fuzzy FCA approach in data analysis
Use of cloud computing platform for support of distributed creation of conceptual models based on the FCA (Formal Concept Analysis) framework is described and a solution for creation of simple hierarchy of smaller FCA models is proposed.