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.
Author supplied keywords
Cite
CITATION STYLE
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.