A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life
Problems Contrast Data Mining: Concepts, Algorithms, and Applications collects recent …

Combining multi-criteria decision analysis and trend reversal discovery make it possible to
extract globally optimal, or non-dominated, data in relation to several criteria, and then to …

We present a new full cube computation technique and a cube storage representation
approach, called the multidimensional cyclic graph (MCG) approach. The data cube …

Data cubes capture general trends aggregated from multidimensional data from a
categorical relation. When provided with two relations, interesting knowledge can be …

The border concept has been introduced by Mannila and Toivonen in their seminal paper
[20]. This concept finds many applications, eg maximal frequent itemsets, minimal functional …

In this paper we propose the characterization of two new structures, the Agree Concept
Lattice and the Quotient Agree Lattice of a database relation. Both of them are of great …

Découvrir des renversements de tendances entre deux cubes de données offre aux
utilisateurs une connaissance nouvelle et intéressante lors des fluctuations de l'univers réel …

The Skyline concept has been introduced in order to exhibit the best objects according to all
the criterion combinations and makes it possible to analyze the relationships between …

La matérialisation de vues est une technique efficace d'optimisation de requêtes. Dans cette
thèse, nous proposons une nouvelle vision" orientée utilisateur" de solutions pour le …

This paper focuses on borders and lossless representations for Constrained Datacubes of
database relations, which can represent many-valued contexts. The final goal is to optimize …