Data mining-based big data analytics: parameters and layered framework Online publication date: Sat, 26-Jul-2014
by Vishal Bhatnagar
International Journal of Computational Systems Engineering (IJCSYSE), Vol. 1, No. 4, 2013
Abstract: The growing data size and finding information's from such bulk data need to be addressed. The term coined big data has found its vital importance in modern day business. With petabytes of data, it becomes essential that such new technologies need to be applied to the modern business for finding nuggets of the information hidden from it. The author felt the need to find the guiding parameters which can help the business users to understand at which stage need of big data and its relevant analytics is required and better for the organisation. These parameters will help the business user to enable them to find at what time they should be going for such technological changes in their setup. The blend of technologies which are needed and used to make a viable solution for the big data analytics in the organisation is high and this demands use of layered framework for effective implementation of the big data analytics using a most emerging analytical tool data mining as presented in this paper by the authors.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Systems Engineering (IJCSYSE):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook