BSc in Computer Science from Federal University of São Carlos (Source: Lattes Curriculum)
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Applications that collect large volumes of temporal data using sensors have emerged in different knowledge domains. One way to obtain knowledge about the data in time series context is by learning classification models. A particular case in this context occurs when data from only one class of the problem can be obtained or, because of specific interest in this class, this is the only one …
With the development of mobile sensors, applications that collect large volumes of temporal data have emerged in different knowledge domains. In many of these applications, using algorithms to find frequent and anomalous patterns is an alternative to discover knowledge from data. In the case of high-dimensional temporal data, the literature indicates that similarity measures more suitable…
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