论文标题
基于深度学习的科学论文的采矿和搜索关联关系
Mining and searching association relation of scientific papers based on deep learning
论文作者
论文摘要
科学论文数据之间存在复杂的相关性。该现象揭示了特定领域的科学和技术论文数据中包含的数据特征，法律和相关性，这些数据可以实现对科学和技术大数据的分析，并有助于设计应用程序以服务于科学研究人员。因此，基于深度学习的科学论文的采矿和搜索关系的研究具有深远的实际意义。
There is a complex correlation among the data of scientific papers. The phenomenon reveals the data characteristics, laws, and correlations contained in the data of scientific and technological papers in specific fields, which can realize the analysis of scientific and technological big data and help to design applications to serve scientific researchers. Therefore, the research on mining and searching the association relationship of scientific papers based on deep learning has far-reaching practical significance.
