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Case-Based Reasoning (CBR) systems solve new problems using others which have been previously resolved. The knowledge is composed of a set of cases stored in a case memory, where each one describes a situation in terms of a set of features. Therefore, the size and organization of the case memory influences in the computational time needed to solve new situations. We organize the memory using Self-Organization...
Usually, performance of classifiers is evaluated on real-world problems that mainly belong to public repositories. However, we ignore the inherent properties of these data and how they affect classifier behavior. Also, the high cost or the difficulty of experiments hinder the data collection, leading to complex data sets characterized by few instances, missing values, and imprecise data. The generation...
In UNLPpsilas network, like in most of the present networks, a great percentage of the traffic network demand is that of HTTP protocol. At the moment it is around 60%. To be more precise, we would have to claim that most of the traffic is transported by TCP port 80. Although port 80 TCP is used by default by protocol HTTP, any other application can use it, taking advantage of the fact that usually...
In this paper, we highlight the use of synthetic data sets to analyze learners behavior under bounded complexity. We propose a method to generate synthetic data sets with a specific complexity, based on the length of the class boundary. We design a genetic algorithm as a search technique and find it useful to obtain class labels according to the desired complexity. The results show the suitability...
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