Data analytics: Why data normalization

21Citations
Citations of this article
40Readers
Mendeley users who have this article in their library.

Abstract

The two maestros Artificial Intelligence and Machine learning are ruling the data filled world with good analytics. Many of these domain skills are used in the industry to analyze and interpret the data beyond what it actually is. Supporting the known saying find the horse before the cart is ready is what it mean to normalize the data before getting it analyzed. This article focus on what normali-zation actually is, why normalization is needed before data analysis and how data normalization is done.

Cite

CITATION STYLE

APA

Dhana Sree, K., & Shoba Bindu, C. (2018). Data analytics: Why data normalization. International Journal of Engineering and Technology(UAE), 7(4.6 Special Issue  6), 209–213. https://doi.org/10.14419/ijet.v7i4.6.20464

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free