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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References
MeadJohnson. www.meadjohnson.com
Friso. www.friso.com
Abbott. www.abbott.com
Wyeth. www.wyeth.com
Aptawelt. www.aptawelt.de
Mahesha, P., Vinod, D.: Support vector machine-based stuttering dysfluency classification using GMM supervectors. Int. J. Grid Util. Comput. 6, 143–149 (2015)
Rodas, O., To, M.A.: A study on network security monitoring for the hybrid classification-based intrusion prevention systems. Int. J. Space-Based Situated Comput. 5, 115–125 (2015)
Al-Kabi, M., Wahsheh, H., Alsmadi, I.M.: Polarity classification of Arabic sentiments. Int. J. Inf. Technol. Web. Eng. 11, 32–49 (2016)
Wu, K., Kang, J., Chi, K.: Research on fault diagnosis method using improved multi-class classification algorithm and relevance vector machine. Int. J. Inf. Technol. Web. Eng. 10, 1–16 (2015)
Zhao, Z., Lu, H., Cai, D., He, X., Zhuang, Y.: User preference learning for online social recommendation. IEEE Trans. Knowl. Data Eng. 28, 2522–2534 (2016)
Shigeyasu, T., Nagamine, J.: DCR-MAC: a data channel recommending MAC for multi-channel WLANs toward the higher throughput performance. Int. J. Space-Based Situated Comput. 5, 168–177 (2015)
Guo, L., Jin, B., Yu, R., Yao, C., Sun, C., Huang, D.: Multi-label classification methods for green computing and application for mobile medical recommendations. IEEE Access 4, 3201–3209 (2016)
Ihaka, R., Gentleman, R.: R: a language for data analysis and graphics. J. Comput. Graphical Stat. 5, 299–314 (1996)
Wu, Z., Lin, T., Tang, N.: Explore the use of handwriting information and machine learning techniques in evaluating mental workload. Int. J. Technol. Hum. Interact. 12, 18–32 (2016)
Lin, H., Su, S., Wang, S., Tsai, S.: Influence of cognitive style and cooperative learning on application of augmented reality to natural science learning. Int. J. Technol. Hum. Interact. 11, 41–66 (2015)
Gutierrez-Carreon, G., Daradoumis, T., Jorba, J.: Automatic composition of learning grid portlets: a comparison of syntactic and semantic approaches. Int. J. Grid Util. Comput. 1, 308–315 (2009)
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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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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