Data profiling refers to the activity of collecting data about data,{ie}, metadata. Most IT
professionals and researchers who work with data have engaged in data profiling, at least …

In this paper, we propose a robust multi-layer background subtraction technique which takes
advantages of local texture features represented by local binary patterns (LBP) and …

Recently, there has been a renovated interest in functional dependencies due to the
possibility of employing them in several advanced database operations, such as data …

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 …

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 …

Functional dependencies (FDs) provide valuable knowledge on the relations between
attributes of a data table. A functional dependency holds when the values of an attribute can …

Taking domain knowledge into account is a long-standing issue in AI, especially nowadays
where huge amounts of data are collected in the hope of delivering new in-sights and value …

Although big data is being discussed for some years, it still has many research challenges,
such as the variety of data. The diversity of data sources often exists in information silos …

Software product line engineering relies on systematic reuse and mass customisation to
reduce the development time and cost of a software system family. The extractive adoption …

Functional Dependencies (FDs) play a key role in many fields of the relational database
model, one of the most widely used database systems. FDs have also been applied in data …