Fundamental standards and uses of big data analytics

Authors

  • Samrajyam Singu
  • Mahesh Tunguturi

Abstract

Within the era of the data explosion, decision-makers can get the right of entry to full-size quantities of facts. big records refer to everyday datasets that might be day-to-day daily manipulated using traditional tools and strategies. Given the speedy development of those facts, solutions day-to-day manage and extract the fee and information from these databases should every day be explored day every day. best large records Analytics, which uses advanced large facts analysis strategies, can provide the goals day-to-day the basics in huge information.

References

Toulmin, Stephen, 1958, The Uses of Arguments, Cambridge: Cambridge University Press.

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Van Fraassen, Bas C., 2008, Scientific Representation: Paradoxes of Perspective, Oxford: Oxford University Press. doi:10.1093/acprof:oso/9780199278220.001.0001

Waters, C. Kenneth, 2007, “The Nature and Context of Exploratory Experimentation: An Introduction to Three Case Studies of Exploratory Research”, History and Philosophy of the Life Sciences, 29(3): 275–284.

Tunguturi, M. (2009). More On Principles and Applications of Big Data Analytics. International Journal of Statistical Computation and Simulation, 1(1), 1–10. Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/43

Published

2013-12-12

How to Cite

Singu, S., & Tunguturi, M. (2013). Fundamental standards and uses of big data analytics. International Journal of Statistical Computation and Simulation, 5(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/47

Issue

Section

Articles