Abstract
Big data as a new information environment at present, there are few research and Application on architectural characteristics. In this context, this paper aims to analyze and mine the differences between Chinese and Western ancient buildings, find out the intrinsic relationship between Chinese and Western ancient buildings, design mining algorithms to analyze and classify the differences of ancient building features, and realize the information mining based on the large data of ancient building features. a certain amount of building data analysis is used as the driving force to carry out the experiment. The attribute classification of Chinese and Western ancient buildings is realized by using the information entropy splitting criterion in data analysis and data mining, and a decision tree is established to provide computer decision support for the difference of the characteristics of ancient buildings. The experimental results show that the classification algorithm proposed in this paper achieves more than 91% of the correct rate of classification for the characteristics of ancient buildings in China and the West, basically realizes the classification and recognition of the differences between the characteristics of ancient buildings in China and the West, and provides support for the design evaluation of the different architectural characteristics of ancient buildings in China and the West.
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Zhao, Y., Yin, L., Wang, Q. (2020). Difference of Chinese and Western Ancient Architectural Characteristics Based on Big Data Analysis. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2019. Advances in Intelligent Systems and Computing, vol 1117. Springer, Singapore. https://doi.org/10.1007/978-981-15-2568-1_200
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DOI: https://doi.org/10.1007/978-981-15-2568-1_200
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