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On the basis of the pre-research of the comprehensive evaluation of basin initial water right allocation scheme, in view of the complexity and differences of the allocation scheme, taking advantages of the grey system clustering evaluation method based on the reformative triangular whitenization weight function, and the method of Analytic Hierarchy Process in historical data processing and sophisticated...
The class imbalance problem usually occurs in real applications. The class imbalance is that the amount of one class may be much less than that of another in training set. Under-sampling is a very popular approach to deal with this problem. Under-sampling approach is very efficient, it only using a subset of the majority class. The drawback of under-sampling is that it throws away many potentially...
Time series clustering is an important task in time series data mining. Compared to traditional clustering problems, time series clustering poses additional difficulties. The unique structure of time series makes many traditional clustering methods unable to apply directly. This paper presents a novel feature-based approach to time series clustering, which first converts the raw time series data into...
An intelligent model of relative words that concerns semantic similarity is discussed in this paper. Based on this model, a knowledge system capable of semantically calculating and associating has been developed, which enables adapting and/or extending keywords in search process. This paper aims to make information retrieval with semantic ability; as a result, the precision of information retrieval...
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