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Uncertain data is an important issue in research of big data and railway accident prediction. In this paper, we introduce categories of uncertain data, and propose a method to deal with uncertain data in railway accident prediction. This method assumes that uncertain data obeys a special probability distribution, and then extracts features from the whole data using fuzzy principal component analysis...
It is meaningful to discover valuable relationships in big data. The maximal information coefficient (MIC), a new measure of dependence of relationships, was proposed by Reshef et al. in 2011, and an approximate algorithm was designed. But the algorithm designed by Reshef et al. (2011) can only calculate the MIC of two-variable relationships. In this paper, an algorithm (BKM-MIC) is proposed. To our...
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