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Data Analysis for Infant Formula Nutrients

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Advances in Internetworking, Data & Web Technologies (EIDWT 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 6))

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Abstract

With the development of the social economy and the improvement of the people’s living standard, more and more categories of infant formulas are presented according to nutritional requirements and regional differences. For a specific family, nowadays it is usually quite difficult to make a quick decision. This manuscript firstly analyzes some infant formulas made in Canada, The Netherlands, Denmark, Ireland and Germany, and then outlines the special nutrients of each given kind of infant formula. Based on these observations, dataset construction and classification are discussed so that relational decisions can be made according to specific needs.

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Acknowledgments

This work is partly supported by the National Natural Science Foundation of China under Grant No. 61300122, 61502145 and 61602150, and the Fundamental Research Funds of China for the Central Universities under Grant No. 2013B01814.

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Correspondence to Qian Huang .

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Huang, Q., Zhang, C., Ye, F., Wang, Q., Chen, S. (2018). Data Analysis for Infant Formula Nutrients. In: Barolli, L., Zhang, M., Wang, X. (eds) Advances in Internetworking, Data & Web Technologies. EIDWT 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 6. Springer, Cham. https://doi.org/10.1007/978-3-319-59463-7_63

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  • DOI: https://doi.org/10.1007/978-3-319-59463-7_63

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59462-0

  • Online ISBN: 978-3-319-59463-7

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