Abstract
With the advancement of society and the increase of computer, network and digital media technology, big data technology has become an indispensable part of the modern service industry. Big data technology has been developed in all aspects of modern interior design, and the value of products and services created has gradually increased. Big data plays an important role in technology, ethnic minority patterns, and modern interior design. This article mainly introduces the application research of ethnic minority patterns in modern interior design based on big data. This paper uses the application research of ethnic minority patterns in modern interior design based on big data, adopts ethnic minority patterns for modern interior design, and reasonably analyzes the feasibility of interior design. Modern interior design is a history of thousands of years in China developed in a certain traditional regional culture. It has created the wisdom and essence of my country’s traditional culture. The unique artistic spirit of the Chinese nation has been passed down in the long river of historical development. The ancestors worshipped nature and attached to all things in the world. What is reflected in the interior design is the preference for the natural color and natural texture of the materials in the selection of materials, use ethnic patterns in modern interior design. The experimental results of this paper show that the application research of ethnic minority patterns in modern interior design based on big data has increased the indoor beautification rate by 23%. Pattern application provides good modern interior design methods and approaches for analysis, discussion and summary, thereby enriching academic research results.
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Zhang, Y. (2021). Minority Patterns in Modern Interior Design Based on Big Data. In: Abawajy, J., Xu, Z., Atiquzzaman, M., Zhang, X. (eds) 2021 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2021. Advances in Intelligent Systems and Computing, vol 1398. Springer, Cham. https://doi.org/10.1007/978-3-030-79200-8_128
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DOI: https://doi.org/10.1007/978-3-030-79200-8_128
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