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At present, the power system is building up on top of a series of auxiliary systems for examples communication systems, monitoring systems, marketing systems and so on. All the systems work based on the shared power system data which are defined using Common Information Model (CIM). Due to diversiform reasons, errors may exist in the data. Therefore the verification technologies are developed. So...
Latent Dirichlet Allocation (LDA) has been widely applied to text mining. LDA is a probabilistic topic model which processes documents as the probability distribution of topics. One challenging issue in application of LDA is to select the optimal number of topics in LDA model. This paper presents a topic selection method which considers the density of each topic and computes the most unstable topic...
At present, the power system is building up on top of a series of auxiliary systems for examples communication systems, monitoring systems, marketing systems and so on. All the systems work based on the shared power system data which are defined using Common Information Model (CIM). Due to diversiform reasons, errors may exist in the data. Therefore the verification technologies are developed. So...
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