José Felipe Júnior

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Due to the growing popularity of the Web, there is an increasing number of people who perform e-business transactions. On the other hand, this popularity has also attracted the attention of criminals, raising the number of frauds on the Web and associated financial losses, which reach billions of dollars per year. This paper proposes a KDD-based methodology(More)
Due to the growing popularity of the Web, there is an increasing number of people who performs e-business transactions. On the other hand, this popularity has also attracted the attention of criminals, raising the number of fraud cases in Web and financial losses that reach billions of dollars per year. This paper proposes a methodology, based on the(More)
High-dimensional data often threatens the performance of classification algorithms. We propose a two-step approach for dealing with high-dimensional data. In the first step, features are arranged into bins, where each bin corresponds to a much smaller sub-space of features. In the second step, classifiers are independently applied to the set of features(More)
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