: Discovering interesting patterns or substructures in data streams is an important challenge in data mining. Clustering algorithms are very often applied to identify single substr...
Closed sets have been proven successful in the context of compacted data representation for association rule learning. However, their use is mainly descriptive, dealing only with ...
A multiobjective genetic algorithm for detecting communities in dynamic networks, i.e., networks that evolve over time, is proposed. The approach leverages on the concept of evolu...
An e-Government portal is responsible to provide news, information and services to citizens, merchants and tourists in a reliable way. Previously, we proposed a Web Monitoring Sys...
In previous works, we showed how sequential pattern mining can be used to extract a partial problem space from logged user interactions for a procedural and ill-defined domain wher...
Philippe Fournier-Viger, Roger Nkambou, Engelbert ...