Big Data with Ten Big Characteristics-Reference-Cited by-同舟云学术

Big Data with Ten Big Characteristics

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd International Conference on Big Data Research - ICBDR 2018
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Author:

Sun Zhaohao¹,Strang Kenneth²,Li Rongping³

Affiliation:

1. Department of Business Studies, PNG University of Technology, Lae, Morobe, PNG

2. School of Business & Economics, State University of New York, Plattsburgh at Queensbury, NY, USA

3. School of Economics & Management, Hebei University of Science & Technology, Shijiazhuang, Hebei, China

Publisher

ACM Press

Reference42 articles.

1. B. Kumar, "An encyclopedic overview of 'big data' analytics," International Journal of Applied Engineering Research, vol. 10, no. 3, pp. 5681--5705, 2015.

2. McKinsey, "The digital tipping point: McKinsey Global Survey results," June 2014. [Online]. Available: http://www.mckinsey.com/insights/business_technology/the_digital_tipping_point_mckinsey_global_survey_results. [Accessed 1-7 2014].

3. C. P. Chen and C.-Y. Zhang, "Data-intensive applications, challenges, techniques and technologies: A survey on Big Data," Information Sciences, vol. 275, p. 314--347, 2014.

4. D. Laney and A. Jain, "100 Data and Analytics Predictions Through," 20 June 2017. [Online]. Available: https://www.gartner.com/events-na/data-analytics/wp-content/uploads/sites/5/2017/10/Data-and-Analytics-Predictions.pdf. [Accessed 04 August 2018].

5. Gartner, "Big data," 2016. [Online]. Available: http://www.gartner.com/it-glossary/big-data/.

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