Recommendation algorithms aim at proposing “next” pages to a user based on her current visit and the past users’ navigational patterns. In the vast majority of related algor...
We introduce a graph clustering problem motivated by a stream processing application. Input to our problem is an undirected graph with vertex and edge weights. A cluster is a subse...
We consider in this paper a new lagrangean relaxation with clusters for the Manufacturer’s Pallet Loading Problem (MPLP). The relaxation is based on the MPLP formulated as a Max...
Glaydston Mattos Ribeiro, Luiz Antonio Nogueira Lo...
This paper proposes a new approach for hot event detection and summarization of news videos. The approach is mainly based on two graph algorithms: optimal matching (OM) and normali...
Spatial data mining, i.e., discovery of interesting characteristics and patterns that may implicitly exist in spatial databases, is a challenging task due to the huge amounts of s...