Advanced Machine Learning for Enterprise IoT Modeling

1Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Machine-to-machine communication is now enabled and will rule the world in the future. This is achieved through the Internet and this is called the Internet of Things (IoT) as it enables all the things in the real world to communicate with each other. IoT achieves this by bridging various other software technologies and hardware devices. IoT has flourished in all domains starting with simple home automation to businesses. As everything in this real world is business, enabling IoT in business will be of great help to the enterprises and the decision makers in the field. So here this chapter portrays what an enterprise Internet of Things deals with, its issues, and its applications. Also the importance of business forecast for an enterprise and how it is achieved via various techniques for the business forecast are discussed. For better forecasting results, the advanced machine learning algorithms that can be employed in a different perspective of enterprise IoT and their applications are presented here. This would be a great help for the researchers and practitioners in the field of enterprise IoT.

Cite

CITATION STYLE

APA

Deepa, N., & Prabadevi, B. (2020). Advanced Machine Learning for Enterprise IoT Modeling. In EAI/Springer Innovations in Communication and Computing (pp. 99–121). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-44407-5_5

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