Research and analysis of big data visualization technology

Yingxiu Ai; Yunshan Yu; Kai Lei; Wan Liu

doi:10.1117/12.2628734

22 April 2022 Research and analysis of big data visualization technology

Yingxiu Ai, Yunshan Yu, Kai Lei, Wan Liu

Proceedings Volume 12174, International Conference on Internet of Things and Machine Learning (IoTML 2021); 121740O (2022) https://doi.org/10.1117/12.2628734
Event: International Conference on Internet of Things and Machine Learning (IoTML 2021), 2021, Shanghai, China

Abstract

The development of big data technology has given birth to big data products based on mobile terminals--intelligent teaching tools. Intelligent teaching tools can establish an objective, diversified, and comprehensive evaluation system based on the analysis of users’ massive data in mobile terminals; they are available to quantitatively analyze the characteristics of users’ behaviors and establish intuitive digital chart models, thereby providing effective decision-making services for users. This paper takes Rain Classroom as an example to introduce the use of big data visualization technology in art teaching.

Citation Download Citation

Yingxiu Ai, Yunshan Yu, Kai Lei, and Wan Liu "Research and analysis of big data visualization technology", Proc. SPIE 12174, International Conference on Internet of Things and Machine Learning (IoTML 2021), 121740O (22 April 2022); https://doi.org/10.1117/12.2628734

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available