Machine Learning Methods for Big Data Processing Research

Abstract

Machine learning has been widely used and applied in a variety of fields in our lives. However, as the big data era approaches, certain traditional machine learning algorithms will be unable to meet the demands of real-time data processing for massive datasets. As a result, machine learning must reinvent itself for the age of big data. In this paper, we examine recent research on machine learning for big data processing. First, a description of big data is offered, followed by an examination of novel machine learning properties in the context of large data. Then, using machine learning approaches, we present a workable reference framework for dealing with massive data. Finally, a number of research obstacles and unanswered questions are discussed.