The Rise of Big Data Science: A Survey of Techniques, Methods and Approaches in the Field of Natural Language Processing and Network Theory

The continuous creation of data has posed new research challenges due to its complexity, diversity and volume. Consequently, Big Data has increasingly become a fully recognised scientific field. This article provides an overview of the current research efforts in Big Data science, with particular em...

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Main Authors: Jeffrey Ray, Olayinka Johnny, Marcello Trovati, Stelios Sotiriadis, Nik Bessis
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Big Data and Cognitive Computing
Subjects:
Online Access:http://www.mdpi.com/2504-2289/2/3/22
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author Jeffrey Ray
Olayinka Johnny
Marcello Trovati
Stelios Sotiriadis
Nik Bessis
author_facet Jeffrey Ray
Olayinka Johnny
Marcello Trovati
Stelios Sotiriadis
Nik Bessis
author_sort Jeffrey Ray
collection DOAJ
description The continuous creation of data has posed new research challenges due to its complexity, diversity and volume. Consequently, Big Data has increasingly become a fully recognised scientific field. This article provides an overview of the current research efforts in Big Data science, with particular emphasis on its applications, as well as theoretical foundation.
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spelling doaj.art-6289d943817747d984c952f8ebfe668a2022-12-21T19:19:36ZengMDPI AGBig Data and Cognitive Computing2504-22892018-08-01232210.3390/bdcc2030022bdcc2030022The Rise of Big Data Science: A Survey of Techniques, Methods and Approaches in the Field of Natural Language Processing and Network TheoryJeffrey Ray0Olayinka Johnny1Marcello Trovati2Stelios Sotiriadis3Nik Bessis4Department of Computer Science, Edge Hill University, Ormskirk, L39 4QP, UKDepartment of Department of Electronics, Computing and Mathematics, University of Derby, Derby DE22 1GB, UKDepartment of Computer Science, Edge Hill University, Ormskirk, L39 4QP, UKDepartment of Computer Science and Information Systems, Birkbeck University of London, London WC1E 7HX, UKDepartment of Computer Science, Edge Hill University, Ormskirk, L39 4QP, UKThe continuous creation of data has posed new research challenges due to its complexity, diversity and volume. Consequently, Big Data has increasingly become a fully recognised scientific field. This article provides an overview of the current research efforts in Big Data science, with particular emphasis on its applications, as well as theoretical foundation.http://www.mdpi.com/2504-2289/2/3/22Big Datatext miningNLPnetwork theoryBayesian networks
spellingShingle Jeffrey Ray
Olayinka Johnny
Marcello Trovati
Stelios Sotiriadis
Nik Bessis
The Rise of Big Data Science: A Survey of Techniques, Methods and Approaches in the Field of Natural Language Processing and Network Theory
Big Data and Cognitive Computing
Big Data
text mining
NLP
network theory
Bayesian networks
title The Rise of Big Data Science: A Survey of Techniques, Methods and Approaches in the Field of Natural Language Processing and Network Theory
title_full The Rise of Big Data Science: A Survey of Techniques, Methods and Approaches in the Field of Natural Language Processing and Network Theory
title_fullStr The Rise of Big Data Science: A Survey of Techniques, Methods and Approaches in the Field of Natural Language Processing and Network Theory
title_full_unstemmed The Rise of Big Data Science: A Survey of Techniques, Methods and Approaches in the Field of Natural Language Processing and Network Theory
title_short The Rise of Big Data Science: A Survey of Techniques, Methods and Approaches in the Field of Natural Language Processing and Network Theory
title_sort rise of big data science a survey of techniques methods and approaches in the field of natural language processing and network theory
topic Big Data
text mining
NLP
network theory
Bayesian networks
url http://www.mdpi.com/2504-2289/2/3/22
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