Applications of big data in real world: It's not what you know. It's what you do with what you know

Autor: Vidhi Khanduja, Abhishek Arora, Sameer Garg
Rok vydání: 2017
Předmět:
Zdroj: 2017 International Conference on Computing, Communication and Automation (ICCCA).
DOI: 10.1109/ccaa.2017.8229792
Popis: Big Data is turning out to be useful in almost all real life scenarios. The meaningful analysis of the large amount of data (collected from installed sensors, cellular usage, CCTV etc.) is of prime importance in the current times. The purpose of big data analytics is to help companies/organisations make intelligent and informed decisions by utilising large volumes of transaction data which may be untapped by conventional business intelligence (BI) programs. In this paper, we discuss the significance of big data analytics and analyse the usefulness of big data in the varied fields like healthcare, security, understanding customer behaviour, and natural calamities. Big Data also found its application in high frequency stock trading based on history of stock prices, natural language processing of news, political decisions in an efficient way. We also discuss the challenges such as unfair usage of algorithms to trade, security and privacy issues relating to access control, storage etc. These important applications are leading us to take deep insights of large amounts of data.
Databáze: OpenAIRE