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Nowadays, various learning technologies are required on uncertain data. As an important pre-processing step in data mining, feature selection needs to consider this vagueness or uncertainty. In this paper, we propose a novel algorithm to evaluate the correlation between features and uncertain class labels on the basis of Hilbert-Schmidt Independence Criterion. Consequently, the features can be ranked...
Uncertainty is an essential characteristic of intelligence. It has various types and usually each type can be measured in a different way. Thus, it is not helpful for thinking and processing as a whole. In this paper, based on entropy, we discuss the measurement of four common types of uncertainty: randomness, fuzziness, contradiction and dynamic. We present the concept of uncertain entropy and analyze...
This paper considers the problem of the dynamic risk assessment for the network based on the threat stream analysis. We analyze the general approach to do the network dynamic risk assessment. A stream based cube model is built to analyze the characteristics of the threat stream. Then combining with the research about the description and analysis of the threat effect, we propose the architecture of...
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