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 domains of knowledge discovery in databases (KDD) such as ontology engineering, association rule mining, machine learning, as well as relation to other established theories for representing knowledge processing, like descripti...

. The potentials of formal concept analysis (FCA) for information retrieval (IR) have been highlighted by a number of research studies since its inception. The growth of the web has favoured the emergence of new search applications. In this paper, we will focus on the unique features of FCA for searching in distributed information and for reducing the size of the set information. The developmen...

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 concepts as basic units of human thinking and analysing data in the object-attribute form. Originated in early 80s, during the last three decades, it became a popular human-centred tool for knowledge representation a...

The objective of this paper is to apply Formal Concept Analysis (FCA) to identify the best open source Learning Management System (LMS) for an E-learning environment. FCA is a mathematical framework that represents knowledge derived from a formal context. In constructing the formal context, LMSs are treated as objects and their features as attributes. This context is analysed and classified int...

The fca mutant of Arabidopsis is one of numerous late-flowering mutants in the autonomous, or constitutive, floral promotion pathway (Koornneef et al., 1991, 1998). The autonomous pathway acts independently of the photoperiod pathway and intersects with the vernalization response pathway in the control of flowering. The FCA gene encodes a novel protein that contains RNA binding domains and a pu...

analysis (FCA) to support the formal description of the International Classification of Functioning, Disability,and Health (ICF). An ontology-based framework based on Protégé platform was adopted for the formalization tasks. The ICF was represented as a local terminology which contains a family of lists of pre-coordinated phrases. The ICNP was used as a cross-thesaurus that provides a set of de...

In the previous paper (1), we reported that BCG cells injected into rats as Freund's complete adjuvant (FCA) enhanced insulin release stimulated by secretagogues, and insulin thus released attenuated some met abolic effects of the agonist. BCG is known as an immunopotentiator. It also has been known that BCG cell walls are as active as viable BCG in the immunotherapy of a certain guinea pig hep...

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 to a so-called scaling procedure. This may either involve loss of information, or produce large and dense binary data known as hard to process. In the context of gene expression data analysis, we propose and co...

Formal Concept Analysis (FCA) is a mathematical framework for knowledge processing tasks. FCA has been successfully incorporated into fuzzy setting and its extension (interval-valued fuzzy set) for handling vagueness and impreciseness in data. However, the analysis in such settings is restricted to unipolar space. Recently, some applications of bipolar information are shown in bipolar fuzzy gra...

Managing and extracting information from databases is one of the main goals in several fields, as Formal Concept Analysis (FCA). One-sided concept lattices multi-adjoint are two frameworks FCA that have been developed parallel. This paper shows one-sided particular cases lattices. As a first consequence this characterization, new attribute reduction mechanism has introduced one-side framework.