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Alessio Martino, Luca Baldini and Antonello Rizzi
Granular Computing is a powerful information processing paradigm, particularly useful for the synthesis of pattern recognition systems in structured domains (e.g., graphs or sequences). According to this paradigm, granules of information play the pivotal...
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Giuseppe Granato, Alessio Martino, Andrea Baiocchi and Antonello Rizzi
Network traffic analysis, and specifically anomaly and attack detection, call for sophisticated tools relying on a large number of features. Mathematical modeling is extremely difficult, given the ample variety of traffic patterns and the subtle and vari...
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Chen Fu and Jianhua Yang
The problem of classification for imbalanced datasets is frequently encountered in practical applications. The data to be classified in this problem are skewed, i.e., the samples of one class (the minority class) are much less than those of other classes...
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Anna Bryniarska
In this paper, a postulation on the relationship between the memory structure of the brain?s neural network and the representation of information granules in the semantic web is presented. In order to show this connection, abstract operations of inducing...
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Ho-Sung Park, Witold Pedrycz and Sung-Kw
Pág. 830 - 846
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Chao-Ton Su, Long-Sheng Chen and Yuehwern Yih
Pág. 531 - 541
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