The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Software has for a long time been used for controlling different systems. Today, there is a trend towards integrating software into consumer electronics, home appliances, cars etc...
Web usage mining is the process of extracting interesting patterns from web logs. This paper proposes an IPA (Integrating Path traversal patterns and Association rules) model for ...
Many biological phenomena are inherently multiscale, i.e. they are characterised by interactions involving different scales at the same time. This is the case of bone remodelling,...
This paper develops a new model that describes the queueing process of a communication network when data sources use window flow control. The model takes into account the burstines...
Ao Tang, Lachlan L. H. Andrew, Krister Jacobsson, ...