Relacionamentos entre as espécies autógamas de Cuphea P. Browne seção Brachyandra koehne (Lythraceae)

Uma Metodologia para Descoberta de Relacionamentos Frequentes Entre Dados Espaciais de Desmatamento Usando Mineração de Grafos

One of the great research challenges in Computer Science is the computational modeling of arti cial, natural and social complex systems, as well the man-nature interactions. Due to the growing size and complexity of databases, the search for new techniques of data mining has been strongly emphasized. Many of these repositories have structural features, which data are composed of segments and re...

A Phylogenetic Study of Cuphea (Lythraceae) Based on Morphology and Nuclear rDNA ITS Sequences

Cuphea is an endemic genus of the New World and the most speciose member of the Lythraceae with ca. 260 species classified in two subgenera and 13 sections. As a first attempt to construct a phylogenetic framework for the genus, data from morphology and nuclear ITS sequences for 53 species and four outgroup taxa were analyzed. Independent results employing morphological and molecular datasets c...

A Força dos Relacionamentos Pode Medir a Qualidade de Comunidades?

In social networks, community detection provides valuable data about relationships between individuals. There are various metrics to validate the quality of communities, but there is no consensus on the performance of these metrics. In this paper, we evaluate whether strength metrics can also be used to measure the quality of algorithms that detect communities. The results are positive to confi...

Les réseaux de régulation biologique : rencontre entre biologie et informatique. Production de mucus chez P. aeruginosa

Pour élucider les principes qui gouvernent la complexité en biologie, la modélisation bioinformatique doit dépasser les explications ad hoc et faire émerger de nouveaux concepts abstraits [HUA 01]. Cela impose de comprendre la structure des systèmes biologiques, la dynamique de ces systèmes et les méthodes de mise au point de modèles pour prendre en compte les propriétés observées [KIT 02, WOL ...

Détection de motifs de dépendance entre neurones