1. What are the contributions in "Mining classification knowledge based on cloud models" ?
There have been many data classification methods studied, including decision-tree method, statistical methods, neural networks, rough sets, etc.. In this paper, the authors present a new mathematical representation of qualitative concepts—Cloud Models.. Finally, the authors perform experiments on a challenging medical diagnosis domain, acute abdominal pain.
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2. How does the information generalization procedure reduce the complexity of an information system?
The information generalization procedure applies attribute-oriented concept tree ascension [5,6,7,8] to reduce the complexity of an information system.
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3. What are the two important concepts in the generalization process?
In this algorithm, there are two important concepts the attribute threshold and the theoretical complexity threshold, which constrain the generalization process.
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4. What are the steps in the qualitative approach to knowledge discovery?
After classification search, further steps in the qualitative approach to knowledge discovery involve classification analysis and simplification, rule induction and prediction, if required by any application.
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![Fig. 1). That is why we use the terminology ``cloud'' to name it. Thirdly, the mathematics expected curve (MEC) of a membership cloud may be considered as its membership function from the fuzzy set theory point of view. Finally, the definition has effectively integrated the fuzziness and randomness of a linguistic term in a unified way. In the cloud, fuzziness lies at the center, and there may be nothing to do with probability, but there is a probability adhered on the fuzziness from the statistical point of view. We can see the integrated uncertainty of fuzziness and randomness and the convergent properties of the cloud model. The cloud concept provides a means of both qualitative and quantitative characterization of linguistic terms.[3,4]](/figures/fig-1-that-is-why-we-use-the-terminology-cloud-to-name-it-3nzuhthb.webp)
