IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Discovering Knowledge Hidden in Big Data From Machine-Learning Techniques

Discovering Knowledge Hidden in Big Data From Machine-Learning Techniques
View Sample PDF
Author(s): Adiraju Prashantha Rao (Anurag Group of Institutions, India)
Copyright: 2019
Pages: 17
Source title: Web Services: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-7501-6.ch037

Purchase

View Discovering Knowledge Hidden in Big Data From Machine-Learning Techniques on the publisher's website for pricing and purchasing information.

Abstract

As the speed of information growth exceeds in this new century, excessive data is making great troubles to human beings. However, there are so much potential and highly useful values hidden in the huge volume of data. Big Data has drawn huge attention from researchers in information sciences, policy and decision makers in governments and enterprises. Data analytic is the science of examining raw data with the purpose of drawing conclusions about that information. Data analytics is about discovering knowledge from large volumes data and applying it to the business. Machine learning is ideal for exploiting the opportunities hidden in big data. This chapter able to discover and display the patterns buried in the data using machine learning.

Related Content

Mohib Ullah, Arbab Waseem Abbas, Lala Rukh, Kamran Ullah, Muhammad Inam Ul Haq. © 2023. 25 pages.
Rafi Ullah Khan, Mohib Ullah, Bushra Shafi, Imran Ihsan. © 2023. 20 pages.
Rafi Ullah Khan, Mohib Ullah, Bushra Shafi. © 2023. 17 pages.
Shaukat Ali, Shah Khusro, Mumtaz Khan. © 2023. 34 pages.
Tayyaba Riaz, Iftikhar Alam. © 2023. 20 pages.
Ufuk Uçak, Gurkan Tuna. © 2023. 22 pages.
Muhammad Hamad, Altaf Hussain, Majida Khan Tareen. © 2023. 21 pages.
Body Bottom