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.

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

Contact information


Dept. Llenguatges i Sistemes Informàtics

Lab. of Relational Algorithmics, Complexity and Learnability

Campus Nord, A0-S109
Jordi Girona Salgado 1-3
08034 - Barcelona

Tel:  +34 93 413 78 62
Fax: +34 93 413 78 33

E-mail:
  • abifet at lsi.upc.edu
  • balqui at lsi.upc.edu
  • gemma.garriga at hut.fi