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Cross domain data such as numerical or categorical types are ubiquitous in practical network. Network anomaly detection based on cluster analysis exist some difficulties, for example, the initial center of cluster analysis is sensitive and easy to fall into the local optimal solution. Cross domain data involved great information, but can't be effectively used, which will influence the performance...
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...
Recently MapReduce programming model is becoming popular for large scale data intensive distributed applications due to its efficiency, simplicity and ease of use. The Hadoop implementation of MapReduce is one of the most popular tools for many programmers due its ability to hide details of parallel programming from the users. However work on simulating the Hadoop environment is still in its infancy...
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