Paper Info
Title
Review of the Complexity of Managing Big Data of the Internet of Things.
Abstract
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.
Year
DOI
Venue
2019
10.1155/2019/4592902
COMPLEXITY
Field
DocType
Volume
Ontology (information science),Data science,XML,Internet of Things,Cloud server,Artificial intelligence,Deep learning,Big data,RDF,Machine learning,Mathematics
Journal
2019
ISSN
Citations 
PageRank 
1076-2787
0
0.34
References 
Authors
41
4
Name
Order
Citations
PageRank
David Gil111512.71
Magnus Johnsson29913.51
Higinio Mora Mora312925.35
Julian Szymański413223.53