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In the dynamic social network, how to use data mining tools to find the hidden dynamic knowledge in the social network has become the focus of the study. It can be applied to a wide range of areas with good practical value and application significance. We propose a novel algorithm called iDBMM based on the improvement of DBMM algorithm. At first, iDBMM algorithm classifies the training set to obtain...
Traditional Web spam classifiers use only labeled data (feature/label pairs) to train. Labeled spam instances, however, are very difficult, expensive, or time consuming to obtain, as they require the efforts of experienced human annotators. Meanwhile unlabeled samples are relatively easy to collect. Semi-supervised learning addresses the classification problem by using large amount of unlabeled data,...
Epilepsy is a brain dysfunction disease, which is caused by brain neuron excessive discharge. The damage induced by seizure is irreversible, so it is necessary to propose a new method to prevent epileptic seizure and protect the brain. Therefore, the best way is to predict preictal state accurately and to give preventive treatment. In this paper, the calculation of the largest Lyapunov exponent based...
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