Big data analytics for wireless and wired network design: A survey
TLDR
This is the first survey that addresses the use of big data analytics techniques for the design of a broad range of networks, and identifies the challenges confronting the utilization ofbig data analytics in network design.About:
This article is published in Computer Networks.The article was published on 2018-02-26 and is currently open access. It has received 110 citations till now. The article focuses on the topics: Big data & Raw data.read more
Citations
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Journal ArticleDOI
Technical Issues on Cognitive Radio-Based Internet of Things Systems: A Survey
TL;DR: This survey classifies the SS and sharing approaches and discusses the merits and limitations of those approaches, as well as exploring the integration of newly emerging technologies with the CR-based IoT systems.
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Patient-Centric Cellular Networks Optimization Using Big Data Analytics
TL;DR: In this article, the authors proposed a system for out-patient (OP) centric Long Term Evolution-Advanced (LTE-A) network optimization, where big data harvested from the OPs' medical records, along with current readings from their body-connected medical IoT sensors are processed and analyzed to predict the likelihood of a life-threatening medical condition, for instance, an imminent stroke.
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Big data analytics meets social media: A systematic review of techniques, open issues, and future directions
TL;DR: It is demonstrated how big data analytics meets SNA, and a comprehensive review is provided on big data analytic approaches in social networks to search published studies between 2013 and August 2020, with 74 identified papers.
Journal ArticleDOI
Optimum resource allocation in optical wireless systems with energy-efficient fog and cloud architectures.
Osama Zwaid Alsulami,Amal A. Alahmadi,Sarah O. M. Saeed,Sanaa Hamid Mohamed,T. E. H. El-Gorashi,Mohammed T. Alresheedi,Jaafar M. H. Elmirghani +6 more
TL;DR: An OWC system which employs a wavelength division multiple access (WDMA) scheme is studied, for the purpose of supporting multiple users, and a cloud/fog architecture is proposed for the first time for OWC to provide processing capabilities.
References
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Book
Computers and Intractability: A Guide to the Theory of NP-Completeness
TL;DR: The second edition of a quarterly column as discussed by the authors provides a continuing update to the list of problems (NP-complete and harder) presented by M. R. Garey and myself in our book "Computers and Intractability: A Guide to the Theory of NP-Completeness,” W. H. Freeman & Co., San Francisco, 1979.
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Latent dirichlet allocation
TL;DR: This work proposes a generative model for text and other collections of discrete data that generalizes or improves on several previous models including naive Bayes/unigram, mixture of unigrams, and Hofmann's aspect model.
Proceedings Article
Latent Dirichlet Allocation
TL;DR: This paper proposed a generative model for text and other collections of discrete data that generalizes or improves on several previous models including naive Bayes/unigram, mixture of unigrams, and Hof-mann's aspect model, also known as probabilistic latent semantic indexing (pLSI).