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Indexed by:会议论文

Date of Publication:2018-11-12

Included Journals:EI

Volume:11434 LNCS

Page Number:439-442

Abstract:With the development of artificial intelligence (AI) industry, the research field is more and more closely related to AI industry. It is increasingly important to analyze the development trend of AI, predict and grasp the research direction, and provide industrial transformation in time. There are many kinds of AI classification, and the scale of literature data is also very large. In this paper we propose a visual analysis system based on micro-service architecture, which is an efficient, robust and easily extended and easy-to-use visual platform for AI development situation analysis. Our paper describes the usage of the system in detail. © Springer Nature Switzerland AG 2019.