作者
Xiaokang Zhou, Wei Liang, I Kevin, Kai Wang, Laurence T Yang
发表日期
2020/5/8
期刊
IEEE Transactions on Computational Social Systems
卷号
8
期号
1
页码范围
171-178
出版商
IEEE
简介
The advancement of several significant technologies, such as artificial intelligence, cyber intelligence, and machine learning, has made big data penetrate not only into the industry and academic field but also our daily life along with a variety of cyber-enabled applications. In this article, we focus on a deep correlation mining method in heterogeneous big data environments. A hierarchical hybrid network (HHN) model is constructed to describe multitype relationships among different entities, and a series of measures are defined to quantify the internal correlations within one specific layer or external correlations between different layers. An intelligent router based on deep reinforcement learning framework is designed to generate optimal actions to route across the HHN. An improved random walk with the restart-based algorithm is then developed with the intelligent router, based on the hierarchical influence across …
引用总数
20202021202220232024732548953
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