ISSA is a system integrating different structural mining tasks (only the sequencial case for the moment) by using a common unifying framework: a Galois lattice adapted to sequential data. After characterizing the Galois lattice, it is possible to calculate either partial orders, or frequent sequential patterns, or also a new notion of association rules with order by just traversing its nodes. Our aim is providing a visual tool based on a sound theory that can be useful in different contexts of the analys of structures.

Publications



Summarizing sequential data with closed partial orders.
  [ps] 
G.C.Garriga.

In 2005 SIAM International Conference on Data Mining (SDM'05), pages 380-391. Newport Beach, California.

On Horn axiomatizations for sequential data.
[ps]
J.L.Balcázar and G.C.Garriga.
In 10th International Conference on Database Theory (ICDT'05), pages 215-229. Edinburgh, Scotland.

Galois connections for mining structured objects
. [ps]
G.C.Garriga and  J.L.Balcázar.
In 4th Learning Conference 2004, pages 91-96. Elx, Spain.

Coproduct transformations on lattices of closed partial orders.
[ps] 
G.C.Garriga and J.L.Balcázar.
In 2nd International Conference on Graph Transformation (ICGT'04), pages 336-352. Rome, Italy.

A lattice-based method for structural analysis.
 
G.C.Garriga, P. Díaz-López and J.L.Balcázar.

Pascal Research Report 2005

people

Academic Staff

The following are academic staff that have been involved in the ISSA project.
Dr. José L. Balcázar
Dr. Gemma C. Garriga
Albert Bifet
Berny Cantos
Pablo Díaz-López