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Mutual information (MI) and transfer entropy (TE) are employed to measure correlation and interdependence between stocks. Based on algorithms of Minimal Spanning Tree (MST) and Planar Maximally Filtered Graph (PMFG), redundant information contained in fully connected networks represented by MI and TE matrices are filtered and according networks are constructed. It is found that the MST of MI constructed...
With the rapid development of the Internet, the application of data mining in the Internet is becoming more and more extensive. However, the complex data source's features are making the data mining process become very inefficient. In order to make data mining more efficient and simple, feature selection research is essential. In this paper, a new metric of mutual information based on mutual information...
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