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Article http://dx.doi.org/10.26855/acc.2024.04.002

Big Data Information Interface Feature Analysis

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Yingquan Wang

Faculty of Creative Industries, City University, Kuala Lumpur, Malaysia.

*Corresponding author: Yingquan Wang

Published: May 14,2024

Abstract

This paper delves into the development and features of big data information interfaces. It introduces the origin of big data information interfaces, emphasizing their close correlation with the rise of big data technology. The paper explores the presentation forms of big data information interfaces, emphasizing data visualization as a key method achieved through encoding and decoding stages to offer an intuitive representation of big data. Furthermore, it conducts an in-depth analysis of the characteristics of big data information interfaces, including the enormity of data scale, diversity of data types, complexity of data relationships, and real-time data feedback. By comparing traditional information interfaces with big data information interfaces, the paper highlights the advantages and necessity of the latter when facing challenges related to vast, diverse, complex, and real-time data. The development of big data information interfaces is not only a result of technological innovation but also a profound consideration of user experience and information communication effectiveness.

References

[1] Jia, Q., Chai, C., & Cai, R. (2022). A Comprehensive Review of Aesthetic Design in Data Visualization. Packaging Engineering, 43(20), 24-28. https://doi.org/10.19554/j.cnki.1001-3563.2022.20.002.

[2] Liu, B., Liu, Z., Liu, Y., & Li, Z. (2021). A Comprehensive Review of Data Visualization Research. Journal of Hebei University of Science and Technology, 42(06), 09-14.

[3] Wang, N., & Qiu, X. (2021). Simulation of UI Interface Data Visualization Transmission Based on Perceptual Feedback. Computer Simulation, 38(10), 34-36.

[4] Huo, C., & Lu, X. (2021). Advancements and Prospects in Research on Data Visualization Literacy. Journal of Library Science in China, 47(02), 16-20. https://doi.org/10.13530/j.cnki.jlis.2021014.

[5] Gan, L. (2020). Symbolic Communication of “Graphs” and “Numbers”—A Rhetorical Analysis Based on Data Visualization Charts. Dongyue Tribune, 41(02), 35-37. https://doi.org/10.15981/j.cnki.dongyueluncong.2020.02.016.

[6] Du, H., & Jiang, J. (2022). Information Visualization Design under Cognitive and Visual Thinking. Packaging Engineering, 43(08), 15-18. https://doi.org/10.19554/j.cnki.1001-3563.2022.08.028.

[7] Liu, F. (2018). Data Visualization and Information Charts: Communication Design in the Information Age. Art Panorama, 05, 33-36.

How to cite this paper

Big Data Information Interface Feature Analysis

How to cite this paper: Yingquan Wang. (2024) Big Data Information Interface Feature Analysis. Advances in Computer and Communication5(2), 108-112.

DOI: http://dx.doi.org/10.26855/acc.2024.04.002