Research on Visual Analysis of Big Data Based on CiteSpace III
Abstract
This paper makes visual analysis on big data retrieval literature by using the information visualization tool CiteSpace III and the Web of Science™ core collection as data sources. The spatial and temporal distribution, research focus, major fields of study, research fronts and evolution paths on the research field of big data were analyzed by knowledge maps and literature research. The results of the research show that the research focus in the future may include Hadoop Distributed File System, Hadoop Database, performance evaluation and medical research.
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Almalki, M., Gray, K., & Sanchez, F. M. (2015). The use of self-quantification systems for personal health information: big data management activities and prospects. Health Inf Sci Syst, 3(Suppl 1 HISA Big Data in Biomedicine and Healthcare 2013 Con): S1.
Anderson, J. E., & Chang, D. C. (2015). Using electronic health records for surgical quality improvement in the era of big data. JAMA Surgery, 150(1), 24-29.
Chen, C. (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359-377.
Colleoni, E., Rozza, A., & Arvidsson, A. (2014). Echo chamber or public sphere predicting political orientation and measuring political homophily in twitter using big data. Journal of Communication, 64(2), 317-332.
Dean, J., & Ghemawat, S. (2008). MapReduce: Simplified data processing on large clusters. Communications of the ACM, 51(1), 107-113.
Feng, Z. Y., & Guo, X. H., et al. (2013). On the research frontiers of business management in the context of big data. Journal of Management Sciences in China, (01), 1-9.
Fridley, B. L., Koeslter, D. C., & Godwin, A. K. (2014). Individualizing care for ovarian cancer patients using big data. Journal of the National Cancer Institute, 106(5), dju080.
Ge, B., Ge, S., & Minard, T. (2014). Visualizations make big data meaningful. Communications of the ACM, 57(6).
Hashem, I. A. T., Yaqoob, I., & Anuar, N. B., et al. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information Systems, 47, 98-115.
Hazen, B. T., Boone, C. A., & Ezell, J. D., et al. (2014). Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications. International Journal of Production Economics, 154, 72-80.
Howe, D., Costanzo, M., & Fey, P., et al. (2008). Big data: The future of biocuration. Nature, 455(7209), 47-50.
Kwon, O., et al. (2014). Data quality management, data usage experience and acquisition intention of big data analytics. International Journal of Information Management, 34(3), 387-394.
Leveling. J., Edelbrock, M., & Otto, B. (2014). Big data analytics for supply chain management (pp.918-922). Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on. IEEE.
Li, X. L. (2015). A survey on big data systems. SCIENTIA SINICA Informationis, (01), 1-44.
Li, F., Ooi, B. C. O., & Zsu, M. T., et al. (2014). Distributed data management using MapReduce. ACM Computing Surveys (CSUR), 46(3), 31.
Lohr, S. (2012). The age of big data. New York Times, p.11.
Lynch, C. (2008). Big data: How do your data grow? Nature, 455(7209), 28-29.
Mayer-Schönberger, V., & Cukier, K. (2013). Big data: A revolution that will transform how we live, work, and think. Houghton Mifflin Harcourt.
Mcafee, A., Brynjolfsson, E., & Davenport, T. H., et al. (2012). Big data: The management revolution. Harvard Bus Rev., 90(10), 61-67.
Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: Promise and potential. Health Information Science and Systems, 2(1), 3.
Saha, B., & Srivastava, D. (2014). Data quality: The other face of big data (pp.1294-1297). Data Engineering (ICDE), 2014 IEEE 30th International Conference on. IEEE
Shivhare, H., Mishra, N., & Sharma, S. (2013). Cloud computing and big data (pp.222-225). Proceedings of 2013 International Conference on Cloud, Big Data and Trust.
Shneiderman, B., Plaisant, C., & Hesse, B. W. (2013). Improving health and healthcare with interactive visualization methods. HCIL Technical Report.
Tang, J., & Chen, W. G. (2015). Deep analytics and mining for big social data. Chinese Science Bulletin, 60(5/6), 509-519.
Wang, B. L. (2015). Research on big data based on scientometrics and visualization analysis. Journal of Intelligence, 34(2), 131-136.
Yu, Y., & Wang, X. (2015). World cup 2014 in the twitter world: A big data analysis of sentiments in U.S. sports fans’ tweets. Computers in Human Behavior, 48, 392-400.
DOI: http://dx.doi.org/10.3968/n
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