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Sequence classification is a significant problem that arises in many different real-world applications. The purpose of a sequence classifier is to assign a class label to a given sequence. Also, to obtain the pattern that characterizes the sequence is usually very useful. In this paper, a technique ...

In this paper, we present an evolving data-based approach to automatically cluster Twitter users according to their behavior. The clustering method is based on the Gaussian probability density distribution combined with a Takagi–Sugeno fuzzy consequent part of order zero (eGauss0). This means that t ...

We model a system of interacting agents characterized by a given wealth and a certain criminal propensity, measured by an honesty coefficient. This honesty is related to intrinsic factors, like moral barriers, and extrinsic ones, as the risk of being imprisoned if committing an offense. In the simul ...