A novel statistical maximal information coefficient (MIC) that can detect the nonlinear relationships in large data sets was proposed by Reshef et al. (2011), with emphasis being placed on the equitability, which is a very important concept in data exploration. In this paper, an improved...

Clustering is fundamental for using big data. However, AP (affinity propagation) is not good at non-convex datasets, and the input parameter has a marked impact on DBSCAN (density-based spatial clustering of applications with noise). Moreover, new characteristics such as volume, variety,...

Subgraph matching, which belongs to NP-hard, faces significant challenges on a large scale graph with billions of nodes, and existing methods are usually confronted with greater challenges from both stability and efficiency. In this article, a subgraph matching method in a distributed system,...

The Inter-Regional Targeted Assistance Program (ITAP) was established since the founding of the People's Republic of China (PRC) by the central government in order to connect the economically and culturally advanced provinces and regions with selected less developed provinces and regions, and to...

Under the leadership of Xi Jinping, the General Secretary of the Communist Party of China (CPC), China has entered a new stage of development. With the policy of further ‘reform and opening-up', it is the aim and motivation of the Chinese government to make all Chinese people benefit from the...

We proposed a method to find the community structure in a complex network by density-based clustering. Physical topological distance is introduced in density-based clustering for determining a distance function of specific influence functions. According to the distribution of the data, the...