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Research Article

Analysis of Chinese Dietary Habits from the Top Food Websites by Using CBFA

Sanivarapu Venkata Pranaya Reddy1 Sanivarapu Shilpitha Reddy2
1Computer Science, Gokaraju Rangraju Institute of Technology, India. 2Electronics and Communication Engineering, Gitam University, India.

Published Online: May-June 2022

Pages: 129-132

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References

[1] G. Ma, ‘‘Food, eating behavior, and culture in Chinese society,’’
[2] G. Alfian et al., ‘‘Integration of RFID, wireless sensor networks, and data mining in an e-pedigree food traceability system,’’
[3] D. Caballero et al., ‘‘Prediction of pork quality parameters by applying fractals and data mining on MRI,’’ Food Res. Int.,
[4] T. Kusmierczyk, C. Trattner, and K. Nørvåg, ‘‘Temporality in online food recipe consumption and production,’’ May 2015, pp. 55–56.
[5] S. Jiang, ‘‘You are what you eat: Exploring rich recipe information for cross-region food analysis,’’ IEEE Trans. Apr. 2017.
[6] S. Sajadmanesh et al., ‘‘Kissing cuisines: Exploring worldwide culinary habits on the Web,’’ i 2017, pp. 1013–1021.
[7] A. Yong-Yeol, ‘‘Geography and similarity of regional cuisines in China,’’ PLoS ONE, vol. 8, no. 11, Nov. 2013.
[8] X. Wu et al., ‘‘Top 10 algorithms in data mining,’’ Knowl. Inf. Syst., vol. 14, no. 1, pp. 1–37, Jan. 2008.
[9] C. E. Shannon, ‘‘A mathematical theory of communication,’’ Mobile Comput. Commun. Rev., vol. 5, no. 1, pp. 3–55, 2001

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