A Survey of Machine Learning for Big Data Processing  

作　　者：Reem Almutiri Sarah Alhabeeb Sarah Alhumud Rehan Ullah Khan 

机构地区：[1]Department of Information Technology,College of Computer,Qassim University,Buraydah,Saudi Arabia

出　　处：《Journal on Big Data》2022年第2期97-111,共15页大数据杂志（英文）

基　　金：This work was supported by the Deanship of Scientific Research at Qassim University.

摘　　要：Today’s world is a data-driven one,with data being produced in vast amounts as a result of the rapid growth of technology that permeates every aspect of our lives.New data processing techniques must be developed and refined over time to gain meaningful insights from this vast continuous volume of produced data in various forms.Machine learning technologies provide promising solutions and potential methods for processing large quantities of data and gaining value from it.This study conducts a literature review on the application of machine learning techniques in big data processing.It provides a general overview of machine learning algorithms and techniques,a brief introduction to big data,and a discussion of related works that have used machine learning techniques in a variety of sectors to process big amounts of data.The study also discusses the challenges and issues associated with the usage of machine learning for big data.

关 键 词：Machine learning big data PROCESSING ALGORITHMS 

分 类 号：H31[语言文字—英语]