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Published in: Mobile Networks and Applications 6/2019

07-10-2019

Big Data Analytics for Sustainable Computing

Authors: H . Anandakumar, R. Arulmurugan, Chow Chee Onn

Published in: Mobile Networks and Applications | Issue 6/2019

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Excerpt

Big Data analytics is the process of collecting, organizing and analyzing large sets of data. To analyze such a large volume of data, Big Data analytics is typically performed using specialized software tools and applications for predictive analytics, data mining, text mining, forecasting and data optimization. Big Data analytics can help organizations to better understand the information contained within the data and will also help identify the data that is most important to the business and future business decisions. Collectively these processes are separate but highly integrated functions of high-performance analytics. Using Big Data tools and software enables an organization to process extremely large volumes of data that a business has collected to determine which data is relevant and can be analyzed to drive better business decisions in the future. This issue focused high quality research papers that address significant and new big data application and related system development issues in the emerging sustainable application domains. We anticipate this issue will open new entrance for further research and technology improvements in this important area. …

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Metadata
Title
Big Data Analytics for Sustainable Computing
Authors
H . Anandakumar
R. Arulmurugan
Chow Chee Onn
Publication date
07-10-2019
Publisher
Springer US
Published in
Mobile Networks and Applications / Issue 6/2019
Print ISSN: 1383-469X
Electronic ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-019-01393-6

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