This is the second part of a large survey paper in which we analyze recent literature on
Formal Concept Analysis (FCA) and some closely related disciplines using FCA. We …

Subgroup discovery is a broadly applicable descriptive data mining technique for identifying
interesting subgroups according to some property of interest. This article summarizes …

This paper addresses the important problem of efficiently mining numerical data with formal
concept analysis (FCA). Classically, the only way to apply FCA is to binarize the data, thanks …

This is the first part of a large survey paper in which we analyze recent literature on Formal
Concept Analysis (FCA) and some closely related disciplines using FCA. We collected 1072 …

In this paper, we analyze the literature on Formal Concept Analysis (FCA) using FCA. We
collected 702 papers published between 2003-2009 mentioning Formal Concept Analysis in …

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 …

Automatic text classification in text mining is a critical technique to manage huge collections
of documents. However, most existing document classification algorithms are easily affected …

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 …

Three-way concept analysis provides a novel model for three-way decisions, and also
extends the classical formal concept analysis, which has attracted many attentions in recent …

Formal Concept Analysis (FCA) is a mathematical technique that has been extensively
applied to Boolean data in knowledge discovery, information retrieval, web mining, etc …