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A Mini-Review of Machine Learning in Big Data Analytics:Applications,Challenges,and Prospects 被引量:8

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摘要 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.
出处 《Big Data Mining and Analytics》 EI 2022年第2期81-97,共17页 大数据挖掘与分析(英文)
作者简介 To whom correspondence should be addressed:Isaac Kofi Nti,is with the Department of Computer Science and Informatics,University of Energy and Natural Resources,Sunyani BS2103,Ghana.E-mail:isaac.nti@uenr.edu.gh,received the Higher National Diploma(HND)in electrical&electronic engineering from Sunyani Technical University,Ghana in 2007,the BS degree in computer science from Catholic University College,Ghana in 2011,the MS degree in information technology from Kwame Nkrumah University of Science and Technology,Ghana in 2016,and the PhD degree in computer science from University of Energy and Natural Resources,Ghana in 2021.He is a lecturer at the Department of Computer Science and Informatics,University of Energy and Natural Resources(UENR),Sunyani,Ghana.His research interests include artificial intelligence,energy system modelling,intelligent information systems,social and sustainable computing,business analytics,and data privacy and security;Juanita Ahia Quarcoo,is with the Department of Electrical&Electronic Engineering,Sunyani Technical University,Sunyani BS2103,Ghana.E-mail:juan83p@yahoo.com,received the MPhil degree in computer engineering from Kwame Nkrumah University of Science and Technology,Ghana in 2011,and PgD(Postgraduate Diploma)in Wireless and Mobile Computing(WiMC)from Advanced Information Technology Institute–Kofi Annan Centre of Excellence(AITI–KACE),Ghana in 2013.She is a lecturer at the Department of Electrical&Electronic,Sunyani Technical University.Her research interests are in the area of computer networks,educational and instructional technology,wireless and mobile computing,artificial intelligence,cloud computing,and mobile app development;Justice Aning,is with the Department of Computer Science,Sunyani Technical University,Sunyani BS2103,Ghana.E-mail:aning421@gmail.com,received the MS degree in information technology from Kwame Nkrumah University of Science and Technology(KNUST),Ghana in 2017.He is currently a lecturer at the Department of Computer Science,Sunyani Technical University,Sunyani,Ghana.He has authored more than five papers in journals.His current research interests include Web design,machine learning,and intelligent systems for modelling and optimisation;Godfred Kusi Fosu,is with the Department of Computer Science,Sunyani Technical University,Sunyani BS2103,Ghana.E-mail:godfred17@gmail.com,received the BS degree in computer science from All Nation University College,Ghana in 2009,and the MS degree in information technology from Sikkim Manipal University,India in 2014.He is a computer scientist with a broad interest in and strong passion for computer science and other research.He is currently an assistant lecturer at the Department of Computer Science,Sunyani Technical University.His research areas include artificial intelligence application,data science,computer and data security,and wireless and mobile computing.
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