Title: Research on relationship between geomantic omen and housing choice in big data era

Authors: Lin Cheng

Addresses: North China University of Water Resources and Electric Power, Zhengzhou, Henan, China; Wuhan University of Technology, Wuhan, Hubei, China

Abstract: In order to make the optimal decision of housing choice based on geomantic omen, the modern information technology in big data era is applied to confirm the relationship between the geomantic omen and housing choice. Firstly, geomantic theory and residential district planning decision are discussed. Secondly, the big data-mining algorithm based on grey relational theory is studied. Thirdly, the big data relational analysis algorithm is put forward. Finally, three resident districts are used as example to carry out the grey relational analysis for the geomantic theory and housing choice. The results verify the effectiveness of the big data-mining algorithm, the relational degree between the geomantic culture and the residential region can be obtained based on the proposed model.

Keywords: big data; mining; residential region; grey relational analysis; geomantic omen.

DOI: 10.1504/IJGUC.2020.108457

International Journal of Grid and Utility Computing, 2020 Vol.11 No.4, pp.533 - 539

Received: 12 Nov 2018
Accepted: 07 Apr 2019

Published online: 14 Jul 2020 *

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