As organizations accumulate data over time, the problem of tracking how patterns evolve becomes important. In this paper, we present an algorithm to track the evolution of cluster...
This article deals with the recognition of recurring multivariate time series patterns modelled sample-point-wise by parametric fuzzy sets. An efficient classification-based approa...
In the recent years several research efforts have focused on the concept of time granularity and its applications. A first stream of research investigated the mathematical model...
Claudio Bettini, Sergio Mascetti, Xiaoyang Sean Wa...
We address multistream sign language recognition and focus on efficient multistream integration schemes. Alternative approaches are investigated and the application of Product-HM...
As Internet applications become larger and more complex, the task of managing them becomes overwhelming. “Abnormal” events such as software updates, failures, attacks, and hots...
Peter Van Roy, Seif Haridi, Alexander Reinefeld, J...