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Review of the Complexity of Managing Big Data of the Internet of Things
Joint Authors
Mora Mora, Higinio
Gil, David
Szymański, Julian
Johnsson, Magnus
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-03
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
There is a growing awareness that the complexity of managing Big Data is one of the main challenges in the developing field of the Internet of Things (IoT).
Complexity arises from several aspects of the Big Data life cycle, such as gathering data, storing them onto cloud servers, cleaning and integrating the data, a process involving the last advances in ontologies, such as Extensible Markup Language (XML) and Resource Description Framework (RDF), and the application of machine learning methods to carry out classifications, predictions, and visualizations.
In this review, the state of the art of all the aforementioned aspects of Big Data in the context of the Internet of Things is exposed.
The most novel technologies in machine learning, deep learning, and data mining on Big Data are discussed as well.
Finally, we also point the reader to the state-of-the-art literature for further in-depth studies, and we present the major trends for the future.
American Psychological Association (APA)
Gil, David& Johnsson, Magnus& Mora Mora, Higinio& Szymański, Julian. 2019. Review of the Complexity of Managing Big Data of the Internet of Things. Complexity،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1131842
Modern Language Association (MLA)
Gil, David…[et al.]. Review of the Complexity of Managing Big Data of the Internet of Things. Complexity No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1131842
American Medical Association (AMA)
Gil, David& Johnsson, Magnus& Mora Mora, Higinio& Szymański, Julian. Review of the Complexity of Managing Big Data of the Internet of Things. Complexity. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1131842
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131842