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Standard Galois Lattices are effective tools for data analysis and knowledge discovery. Several algorithms were proposed to generate concepts of lattices, among which the ScalingNextClosure algorithm. In order to share the production workload between several processors when the number of closed itemsets to determine is very large, this algorithm leans on… (More)

Standard Galois Lattices are effective tools for data analysis and knowledge discovery. They allow structuring data sets, by extracting concepts and rules to deduce concepts from other concepts. They focus on binary data arrays, called contexts. Several algorithms were proposed to generate concepts or concept lattices on a data context. However, the mining… (More)

Standard Galois Lattices are effective tools for data analysis and knowledge discovery. Many research works in classification or association rules increase the interest of them for data mining. They allow structuring data sets, by extracting concepts and rules to deduce concepts from other concepts. They concern binary data arrays, called contexts. Several… (More)

The paper [1]: A fast scalable algorithm to build closed itemsets for large data, of Huaiguo Fu and Engelbert Mephu Nguifo, leans on the sequential character of the determination of the closed itemsets of a Galois Lattice by the Ganter algorithm, to share the work of production between several processors when the number of closed itemsets to determine is… (More)

Standard Galois Lattices are effective tools for data analysis and knowledge discovery. Many research works in classification or association rules increase the interest of them for data mining. They allow structuring data sets, by extracting concepts and rules to deduce concepts from other concepts. They concern binary data arrays, called contexts. Several… (More)

Large data processing is an essential problem in many data mining application. Our work explores the algorithms calculating a Generalized Galois Lattice (GL) over a large collection of data. A GL contains all the so-called closed sets of a collection of tuples (individuals characterized by a set of properties), GLs generalize to multivalued data the GL… (More)

- A Salhi, F S Baklouti, F Godeferd, T Lehner, C Cambon
- Physical review. E
- 2017

Magnetic Archimedes Coriolis (MAC) waves are omnipresent in several geophysical and astrophysical flows such as the solar tachocline. In the present study, we use linear spectral theory (LST) and investigate the energy partition, scale by scale, in MAC weak wave turbulence for a Boussinesq fluid. At the scale k^{-1}, the maximal frequencies of magnetic… (More)

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