首页|A Mini-Review of Machine Learning in Big Data Analytics:Applications,Challenges,and Prospects

A Mini-Review of Machine Learning in Big Data Analytics:Applications,Challenges,and Prospects

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  • 万方数据
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The availability of digital technology in the hands of every citizenry worldwide makes an available unprecedented massive amount of data.The capability to process these gigantic amounts of data in real-time with Big Data Analytics(BDA)tools and Machine Learning(ML)algorithms carries many paybacks.However,the high number of free BDA tools,platforms,and data mining tools makes it challenging to select the appropriate one for the right task.This paper presents a comprehensive mini-literature review of ML in BDA,using a keyword search;a total of 1512 published articles was identified.The articles were screened to 140 based on the study proposed novel taxonomy.The study outcome shows that deep neural networks(15％),support vector machines(15％),artificial neural networks(14％),decision trees(12％),and ensemble learning techniques(11％)are widely applied in BDA.The related applications fields,challenges,and most importantly the openings for future research,are detailed.

Big Data Analytics(BDA)Machine Learning(ML)Big Data(BD)HadoopMapReduce

Isaac Kofi Nti、Juanita Ahia Quarcoo、Justice Aning、Godfred Kusi Fosu

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Department of Computer Science and Informatics,University of Energy and Natural Resources,Sunyani BS2103,Ghana

Department of Electrical&Electronic Engineering,Sunyani Technical University,Sunyani BS2103,Ghana

Department of Computer Science,Sunyani Technical University,Sunyani BS2103,Ghana

2022

10.26599/BDMA.2021.9020028

大数据挖掘与分析(英文版)

大数据挖掘与分析(英文版)

CSCDEI
ISSN：
年,卷(期)：2022.5(2)
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