关键词: 数据挖掘, 文献挖掘, 研究领域扩散, 发文序列

Abstract: With the development of digital library technology, many digital literatures have come into being. It is very important to mine these sources for providing convenience for the user, and it is paramount to analyze these texts to help user understand topic evolution and development. Dynamic Bayesian network model was used to investigate the research field diffusion, and experiments on real data sets indicate that the proposed method can help researchers get a better insight into research field diffusion for various research fields.

Key words: data mining, literature mining, research field diffusion, publication track