[BOOK][B] Conceptual exploration
This book describes a method called “attribute exploration”, its applications, its theory, and
some of the many possible generalizations. The basic task is very simple: for a given list of …
some of the many possible generalizations. The basic task is very simple: for a given list of …
Formal concept analysis: from knowledge discovery to knowledge processing
In this chapter, we introduce Formal Concept Analysis (FCA) and some of its extensions.
FCA is a formalism based on lattice theory aimed at data analysis and knowledge …
FCA is a formalism based on lattice theory aimed at data analysis and knowledge …
Formal concept analysis applications in bioinformatics
The bioinformatics discipline seeks to solve problems in biology with computational theories
and methods. Formal concept analysis (FCA) is one such theoretical model, based on partial …
and methods. Formal concept analysis (FCA) is one such theoretical model, based on partial …
Linguistic-valued layered concept lattice and its rule extraction
L Zou, N Kang, L Che, X Liu - International Journal of Machine Learning …, 2022 - Springer
Formal concept analysis as an effective tool for data analysis and knowledge acquisition can
be used to describe the potential relation between objects and attributes. In order to handle …
be used to describe the potential relation between objects and attributes. In order to handle …
Link key candidate extraction with relational concept analysis
Linked data aims at publishing data expressed in RDF (Resource Description Framework) at
the scale of the worldwide web. These datasets interoperate by publishing links which …
the scale of the worldwide web. These datasets interoperate by publishing links which …
Rule extraction based on linguistic-valued intuitionistic fuzzy layered concept lattice
L Zou, H Lin, X Song, K Feng, X Liu - International Journal of Approximate …, 2021 - Elsevier
As one of the research tools for data processing and knowledge discovery, concept lattice
can effectively extract information. In daily life, due to the ambiguity and uncertainty of the …
can effectively extract information. In daily life, due to the ambiguity and uncertainty of the …
On the connection of hypergraph theory with formal concept analysis and rough set theory
We present a unique framework for connecting different topics: hypergraphs from one side
and Formal Concept Analysis and Rough Set Theory from the other. This is done through …
and Formal Concept Analysis and Rough Set Theory from the other. This is done through …
Pattern structures and concept lattices for data mining and knowledge processing
This article aims at presenting recent advances in Formal Concept Analysis (2010-2015),
especially when the question is dealing with complex data (numbers, graphs, sequences …
especially when the question is dealing with complex data (numbers, graphs, sequences …
Conceptual data sampling for breast cancer histology image classification
Data analytics have become increasingly complicated as the amount of data has increased.
One technique that is used to enable data analytics in large datasets is data sampling, in …
One technique that is used to enable data analytics in large datasets is data sampling, in …
The granular partition lattice of an information table
In this paper we study the lattice of all indiscernibility partitions induced from attribute
subsets of a knowledge representation system (information table in the finite case). This …
subsets of a knowledge representation system (information table in the finite case). This …