1.
Shyam Mohan
– Sri Chandrasekharendra Saraswathi Viswa University, Enathur, Kanchipuram, Tamil Nadu, India
2.
Shanmugapriya P.
– Sri Chandrasekharendra Saraswathi Viswa University, Enathur, Kanchipuram, Tamil Nadu, India
Abstract
Data is growing at an exponential phase today that posing challenges in analyzing, handling and sharing. The task of choosing the correct machine learning tools for such huge datasets is a difficult task. Each tool have their own limitations. Traditional tools fail to perform
real time processing of huge datasets. This paper is intended for the individuals those who are interested to know about machine intelligence tools and how they are related to perform big data analytics. We have given the overview of each tools that are available with
their latest versions and releases. To begin with, we have started with the introduction to big data, Hadoop and machine intelligence techniques. Then we go to the machine intelligence tools and understand the application areas where they can be implemented. We discuss the key features of each tool and provide a comparative study of all the tools. So, this paper aims to help the users to choose or take decisions easily in choosing the tools.
