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Modeling topological properties in the field of complex networks in recent years has been rather spectacular and amazing. A key question for characterizing topological structure is how to understand the importance of a node in network? Here we propose a topological potential model to obtain the global ranking which can reflect the importance of each node in given network. Through defining and calculating...
Object categorization has become active in the field of pattern recognition. There are two main factors which affect the performance of classification. One is the representation of images, and the other is the design of classifier. The representation of images based on bag-of-word (BOW) has become a popular method because of its simpleness and high efficiency. This paper aims to compare some state-of-the-art...
A clear understanding of the complicated interactions among various key ingredients of flux will be very beneficial for developing future high performance solder pastes. In this work, the group contribution method was introduced to estimate and predict the properties of compound and their interactions, especially, the chemical interactions. Based on the assumption that the effects of the individual...
Mining investment is a kind of venture capital, the risk level of which is impacted by various factors. There are still a lot of uncertainty and ambiguity in the process of evaluating on mining investment decision, so it is more suitable to use fuzzy evaluation methods for it. The core of fuzzy evaluation is membership degree transformation. But the existing transformation methods should be questioned,...
The core of fuzzy evaluation on the safety of belt conveying system is membership degree transformation. But the existing transformation methods should be questioned, because redundant data in index membership degree is also used to compute object membership degree, which is not useful for object classification. The new algorithm is: using data mining technology based on entropy to mine knowledge...
The core of performance fuzzy evaluation is membership degree transformation. But the transformation methods should be questioned, because redundant data in index membership degree is also used to compute object membership degree, which is not useful for object classification. The new algorithm is: using data mining technology based on entropy to mine knowledge information about object classification...
The core of fuzzy evaluation on the safety of chemical industrial park is membership degree transformation. But the transformation methods should be questioned, because redundant data in index membership degree is also used to compute object membership degree, which is not useful for object classification. The new algorithm is: using data mining technology based on entropy to mine knowledge information...
Uncertainty measure is a key issue of knowledge discovery based on covering approximation space. Information entropy was applied into both classical rough set and extended rough set to measure the uncertainty respectively, but their relationship has not been studied. Based on equal domain relation, a covering approximation space is converted into a partition approximation space in this paper, and...
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