CV Lattes
Universidade Federal de São Paulo (UNIFESP). Campus São José dos Campos. Instituto de Ciência e Tecnologia (ICT) (Institutional affiliation from the last research proposal) Birthplace: Brazil
graduation at Ciência e Tecnologia from Universidade Federal de São Paulo (2015). , acting on the following subjects: heurística espectral, community detection problem, detecção de comunidades em redes, modularidade and genetic algorithm. (Source: Lattes Curriculum)
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Anomaly detection in data has a wide variety of applications, such as intrusion detection in computer networks or credit card fraud detection. In particular, if the data can represented by graphs, metrics and methods based on graph theory known for high quality solutions can be used. In the case of static graphs, the anomaly detection problem has been extensively studied and several algor…
Spectral heuristics for graph clustering problems, also known as community detection in networks, are target of solid research in the past years, mainly because of the improvements of numerical methods for evaluation of eigenvalues and eigenvectors of matrices. Moreover, the consistent theory and the relevance of the obtained solutions using these heuristics have drawn the attention of ma…
| 2 / 2 | Completed scholarships in Brazil |
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