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In recent years the frequent occurring of social security events has leaded a serious damage to the masses' life and property. Based on large scale online time series data, this article mines event trigger factors and quantitatively analyzes their correlation to social security events by using multidimensional time series model. In addition, a situation dominated similarity measure method is presented...
Being able to understand dynamics of human mobility is essential for social management and urban planning. Based on the sociology of community, this paper chooses different types of communities as research objects, and then characterizes human mobility that describes most probable activities associated with them. With the analysis of thousands of digital footprint data in the urban district, we find...
A novel class based linear dimensionality reduction method is proposed, called Class-Wise Correlation Preserving Projection (CWCPP). In CWCPP, the relation among the original gene expression data is preserved according to a certain kind of similarity between data points, which takes special consideration of both the correlation information and the class information. Different from the traditional...
This paper proposed a graph-based clustering approach for gene expression data. The new method is based on regulatory network graph obtained from gene expression data. Clustering is performed based on the topological features of the graph which characterizes the regulatory relationships between genes, which is different from the conventional methods that simply group genes with similar gene expression...
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