机器学习领域研究热点与前沿演进——基于CiteSpace的可视化分析

Research Hotspots and Frontier Evolution in the Field of Machine Learning——Visual Analysis Based on CiteSpace

基于CiteSpace采用文献计量法,分析总结机器学习领域近十年研究热点与技术前沿演进。研究结果显示,该领域热点算法有Classification(分类算法)、Support Vector Machine(支持向量机)等,热点框架有sorFlow、Caffe、PaddlePaddle等;数据库、序列等突变词共同组成了近十年的研究新兴领域。

In order to acquaintance the gradual progress of research hotspots and technology forward position in the field of machine learning in recent ten years, this paper uses Cite Space's bibliometric method to analyze the results. It is found that hot algorithms include classification (classification algorithm), support vector machine (support vector machine), and so on;hot frameworks include sorFlow, Caffe, Paddle Paddle etc. Mutation words such as databases and sequences have together made up a new and developing domain of study in the past decade.