: 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...
In this paper we address the problem of analyzing web log data collected at a typical online newspaper site. We propose a two-way clustering technique based on probability theory....
Hannes Wettig, Jussi Lahtinen, Tuomas Lepola, Petr...
When trying to reverse engineer software, execution trace analysis is increasingly used. Though, by using this technique we are quickly faced with an enormous amount of data that ...
In statistical language modeling, one technique to reduce the problematic effects of data sparsity is to partition the vocabulary into equivalence classes. In this paper we invest...
Trajectory classification, i.e., model construction for predicting the class labels of moving objects based on their trajectories and other features, has many important, real-worl...