More On Principles and Applications of Big Data Analytics

Authors

  • Mahesh Tunguturi

Abstract

Decision-makers may additionally now get entry to large volumes of statistics in the age of the statistics explosion. huge statistics refer every day large datasets which might be daily day-to-day manipulate the usage of conventional equipment and methods. Given the fast evolution of this information, strategies every day manage and extract fees and statistics from those databases every day be investigated and made. The fee can only be provided via massive information Analytics, which employs modern huge facts analysis methodologies. The motive of this essay is the day-to-day study of the ideas of large information.

References

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

Turner, Raymond and Nicola Angius, 2006, “The Philosophy of Computer Science”, in The Stanford Encyclopedia of Philosophy (Spring 2006 edition),

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.

Published

2009-12-12

How to Cite

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

Issue

Section

Articles