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New Design Principles for Effective Knowledge Discovery from Big Data

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 96 - Number 17
Year of Publication: 2014
Authors:
Anjana Gosain
Nikita Chugh
10.5120/16886-6904

Anjana Gosain and Nikita Chugh. Article: New Design Principles for Effective Knowledge Discovery from Big Data. International Journal of Computer Applications 96(17):19-23, June 2014. Full text available. BibTeX

@article{key:article,
	author = {Anjana Gosain and Nikita Chugh},
	title = {Article: New Design Principles for Effective Knowledge Discovery from Big Data},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {96},
	number = {17},
	pages = {19-23},
	month = {June},
	note = {Full text available}
}

Abstract

Big data is creating hype in IT industry. Knowledge discovery from big data can allow organizations to have deeper insights, look at the bigger picture and project big returns. There are various principles that have been presented for knowledge discovery from big data by ORNL (Oak Ridge National University), USA. These are: (i) support a variety of analysis methods, (ii) one size doesn't fit all, (iii) make data accessible. However timeliness and security still pose great challenges in the knowledge discovery process. Timely analysis of big data is essential because data is being produced at a very high velocity. Security of big data is difficult to ensure since big data solutions were not developed with security in mind. In this paper, we give a view of various big data dimensions and present two new principles based on security and timely analysis for knowledge discovery from big data.

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