bachelor's at Ciência da Computação from Universidade Federal de São Carlos (2003), master's at Computer Science from Universidade Federal de São Carlos (2006) and doctorate at Computer Science from Universidade de São Paulo (2011). Currently João Bertini is a full-time professor at School of Technology, State University of Campinas, Brazil. He has experience in Computer Science and has interest in machine learning. (Source: Lattes Curriculum)
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Traditional machine learning techniques applied to data classification are essentially based on the premise that data distribution is stationary along time. However, recent advances on hardware and software have allowed gathering huge volumes of data in a continuous way. Such phenomenon has given rise to a new variety of applications which need to process an uninterrupted data stream at h…
Machine learning methods are essential in the resolution of data mining related problems. Applications like clustering, classification and information retrieval, would not be properly addressed by other approaches. In the context of machine learning, only recently have graph-based methods been considered as a solution to data mining related problems. Graph-based methods consist in a power…
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