The paper proposes an approach to EUD focusing on communities: on the one hand, users are considered as a community of cooperating actors; on the other hand, applications and devi...
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...
The singular value decomposition (SVD) is fundamental to many data modeling/mining algorithms, but SVD algorithms typically have quadratic complexity and require random access to ...
Abstract. In the Internet era, the development of Web applications has impressively evolved and is characterized by a large degree of complexity. To this end, software community ha...
Abstract. In this paper, we consider whether traditional index structures are effective in processing unstable nearest neighbors workloads. It is known that under broad conditions...