Triclustering algorithms for three-dimensional data analysis: a comprehensive survey
Three-dimensional data are increasingly prevalent across biomedical and social domains.
Notable examples are gene-sample-time, individual-feature-time, or node-node-time data …
Notable examples are gene-sample-time, individual-feature-time, or node-node-time data …
Knowledge representation and processing with formal concept analysis
During the last three decades, formal concept analysis (FCA) became a well‐known
formalism in data analysis and knowledge discovery because of its usefulness in important …
formalism in data analysis and knowledge discovery because of its usefulness in important …
Size bounds for factorised representations of query results
We study two succinct representation systems for relational data based on relational algebra
expressions with unions, Cartesian products, and singleton relations: f-representations …
expressions with unions, Cartesian products, and singleton relations: f-representations …
[ספר][B] Conceptual exploration
B Ganter, S Obiedkov, S Rudolph, G Stumme - 2016 - Springer
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 …
ABACUS: frequent pAttern mining-BAsed Community discovery in mUltidimensional networkS
Community discovery in complex networks is the problem of detecting, for each node of the
network, its membership to one of more groups of nodes, the communities, that are densely …
network, its membership to one of more groups of nodes, the communities, that are densely …
A survey on enhanced subspace clustering
Subspace clustering finds sets of objects that are homogeneous in subspaces of high-
dimensional datasets, and has been successfully applied in many domains. In recent years …
dimensional datasets, and has been successfully applied in many domains. In recent years …
Introduction to formal concept analysis and its applications in information retrieval and related fields
This paper is a tutorial on Formal Concept Analysis (FCA) and its applications. FCA is an
applied branch of Lattice Theory, a mathematical discipline which enables formalisation of …
applied branch of Lattice Theory, a mathematical discipline which enables formalisation 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 …
Triadic formal concept analysis and triclustering: searching for optimal patterns
This paper presents several definitions of “optimal patterns” in triadic data and results of
experimental comparison of five triclustering algorithms on real-world and synthetic …
experimental comparison of five triclustering algorithms on real-world and synthetic …
Graph-FCA: An extension of formal concept analysis to knowledge graphs
Abstract Knowledge graphs offer a versatile knowledge representation, and have been
studied under different forms, such as conceptual graphs or RDF graphs in the Semantic …
studied under different forms, such as conceptual graphs or RDF graphs in the Semantic …