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Cluster Computing

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07.03.2018

RETRACTED ARTICLE: Big data analysis and research on consumption demand of sports fitness leisure activities

verfasst von: Jian Wang, Bin Lv

Erschienen in: Cluster Computing | Sonderheft 2/2019

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Abstract

With the rapid development of modern society, people are no longer satisfied with the rapid enrichment of the material life. The quality of life demands are put on the agenda of ordinary people. Health has become the first issue of concern. The number of people who exercise in health care has been increasing year by year. The national fitness has become a national strategy, the fitness has become the focus of national attention. This paper analyzes the present situation of consumer demand for physical fitness and leisure activities in the context of big data, and reflects on the existing problems in the current consumer fitness and leisure market, and proposes specific measures to solve the problem of consumer fitness and leisure markets in China. Furthermore, this paper aims to stimulate consumer demand of resident who take part in fitness leisure activities, and to further satisfy and expand consumer demand.

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Zhang, J., Zhang, J., Huo, X., Zheng, W., Zheng, X., Zhang, M.: Research on the positioning of protection and utilization of historic districts under big data analysis. In: ISPRS—International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLII-2/W5, pp. 731–735 (2017)

Yuan, Y.M., Wu, C.L.: Research on Clustering Analysis of Big Data. Adv. Eng. Forum 2078(6), 82–87 (2012)MathSciNetCrossRef

Ji, H., Cao, S.X.: Research on network video data acquisition and analysis based on big data. Appl. Mech. Mater. 3468(644), 3116–3119 (2014)CrossRef

Bai, L., Guo, J.P.: Research on optimizing the relationship between public economy and private economy based on the big data analysis. Appl. Mech. Mater. 3634(687), 4942–4945 (2014)CrossRef

Zhang, X.H.: Research on visual analysis of big data based on cite space III. Manag. Sci. Eng. 10(4), 62–67 (2016)

Lv, X.M., Zhou, L., Guo, X.N.: Research on P2P network loan risk evaluation based on generalized DEA model and R-type clustering analysis under the background of big data. J. Financ. Risk Manag. 06(02), 163–190 (2017)CrossRef

Wayne, D.S., Robert, M.: Exploring the demand aspects of sports consumption and fan avidity. Interfaces 42(42), 199–212 (2012)

Artioli, G.G., Bertuzzi, R.C., Roschel, H., Mendes, S.H., Lancha, A.H., Franchini, E.: Determining the contribution of the energy systems during exercise. J. Vis. Exp. 61, 3413 (2012)

Pawlowski, T., Breuer, C.: The demand for sports and recreational services: empirical evidence from Germany. Eur. Sport Manag. Q. 11(1), 5–34 (2011)CrossRef

10.

Stevenson, E.J., Hayes, P.R., Allison, S.J.: The effect of a carbohydrate-caffeine sports drink on simulated golf performance. Appl. Physiol. Nutr. Metab. 34(4), 681–688 (2009)CrossRef

11.

Pelly, F.E., O’Connor, H.T., Denyer, G.S., Caterson, I.D.: Evolution of food provision to athletes at the summer olympic games. Nutr. Rev. 69(6), 321–332 (2011)CrossRef

12.

Coast, J.R., Krause, K.M.: Relationship of oxygen consumption and cardiac output to work of breathing. Med. Sci. Sports Exerc. 25(3), 335 (1993)CrossRef

13.

Leticia, A.A.C., Cristiana, P.M.P., Anna, P.T.R.P.: Critical evaluation of food intake and energy balance in young modern pentathlon athletes: a cross-sectional study. J. Int. Soc. Sports Nutr. 13(1), 15–17 (2016)CrossRef

14.

Bharadwaj, V., Li, X., Ko, C.C.: Efficient partitioning and scheduling of computer vision and image processing data on bus networks using divisible load analysis. Image Vis. Comput. 18(11), 919–938 (2000)CrossRef

15.

Luo, Y., Zeng, B.: Novel new information non-equidistant optimum GM (1,1) and its application to line-drawing data processing in computer aided design. Key Eng. Mater. 930(439), 355–360 (2010)CrossRef

16.

Shao, H.N.: Analysis of computer information processing technology in era of big data. Appl. Mech. Mater. 3634(687), 2772–2775 (2014)

17.

Rojek, G., Regulski, K., Wilk-Kołodziejczyk, D., Kluska-Nawarecka, S., Wawrzaszek, T.: Computer catalog and semantic search of data in the domain of cast iron processing. Arch. Foundry Eng. 17(2), 79–84 (2017)CrossRef

18.

Lindemann, B., Radmanesh, R.: Distributed data processing system for laboratory automation with ESER computer and several experiment computers. Isot. Environ. Health Stud. 18(3), 96–98 (1982)

19.

Edwards, D.N.: Do we need a computer? A review of data processing applications in nuclear medicine and radiotherapy. Clin. Radiol. 25(1), 19–25 (1974)CrossRef

20.

Kato, S., Takeda, S., Toriumi, K., Noguchi, M.: System design and biomedical data processing in a life support computer network system for aged people. Biomed. Tech. Biomed. Eng. 43(s2), 165–166 (2009)CrossRef

Titel: RETRACTED ARTICLE: Big data analysis and research on consumption demand of sports fitness leisure activities
verfasst von: Jian Wang
Bin Lv
Publikationsdatum: 07.03.2018
Verlag: Springer US
Erschienen in: Cluster Computing / Ausgabe Sonderheft 2/2019
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-018-2207-y

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