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Omitola, Tope
University of Southampton
Southampton, United Kingdom
 
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- 9 of 9 reviews

   
   Unmanned systems of World Wars I and II
Everett H., The MIT Press, Cambridge, MA, 2015. 768 pp.  Type: Book (978-0-262029-22-3)

The first time I heard of H. R. Everett was in Singer’s Wired for war [1], on the subject of unmanned systems on the battlefield: “When I asked people who they most respected in the field, the name that consi...

Jul 25 2017  
  Weapons of math destruction: how big data increases inequality and threatens democracy
O’Neil C., Crown Publishing Group, New York, NY, 2016. 272 pp.  Type: Book (978-0-553418-81-1), Reviews: (2 of 2)

We live in a data economy and, as this book argues, mathematical models are its engines. It was Gauss that reminded us that “mathematics is the queen of the sciences” [1]. Reading this book shows that mathematics is...

Jan 12 2017  
  Constructing an interactive natural language interface for relational databases
Li F., Bonifati A. Proceedings of the VLDB Endowment 8(1): 73-84, 2014.  Type: Article

The Internet of Things is democratizing computer usage, with computers metamorphosing into communication devices making their way from offices to inside people’s homes, cars, factories, and so on. Data access on these compute...

Aug 10 2016  
  Privacy protection for preventing data over-collection in smart city
Li Y., Dai W., Ming Z., Qiu M. IEEE Transactions on Computers 65(5): 1339-1350, 2016.  Type: Article

The personal devices (and apps) we carry around have the ability to collect lots of data from and about us. Some of this data is useful for personal productivity, while some borders on the verge of over-collection and possible privacy ...

Jul 22 2016  
   Clash of the titans: MapReduce vs. Spark for large scale data analytics
Shi J., Qiu Y., Minhas U., Jiao L., Wang C., Reinwald B., Özcan F. Proceedings of the VLDB Endowment 8(13): 2110-2121, 2015.  Type: Article

Analyzing big data has never been more important in computer science, and the platforms of choice have been either MapReduce or Spark. By using selected workloads that characterize the majority of batch and iterative analytic operation...

Jun 29 2016  
  RDF in the clouds: a survey
Kaoudi Z., Manolescu I. The VLDB Journal: The International Journal on Very Large Data Bases 24(1): 67-91, 2015.  Type: Article

With the ongoing explosion of cloud computing, graph knowledge bases, and the requisite resource description framework (RDF) data encoding, it’s only apt to ask about the typologies of these knowledge bases. The main thrust h...

Apr 8 2016  
   The social machine: designs for living online
Donath J., The MIT Press, Cambridge, MA, 2014. 432 pp.  Type: Book (978-0-262027-01-4)

Machines used to be programmed by programmers and used by users. This boundary has been dissolved by the rise of the web and its increased user participation, the rise of home automation, and the emerging Internet of Things (IoT). We n...

Dec 3 2014  
  Semantic to intelligent web era: building blocks, applications, and current trends
Tekli J., Rjeily A., Chbeir R., Tekli G., Houngue P., Yetongnon K., Abebe M.  MEDES 2013 (Proceedings of the 5th International Conference on Management of Emergent Digital EcoSystems, Luxembourg, Oct 28-31, 2013) 159-168, 2013.  Type: Proceedings

As the semantic web slowly transforms into the Internet of Things, it is ideal to have the foundational technologies of both summarized in one place....

Apr 7 2014  
   Specifying and detecting spatio-temporal events in the Internet of Things
Jin B., Zhuo W., Hu J., Chen H., Yang Y. Decision Support Systems 55(1): 256-269, 2013.  Type: Article

Manufactured objects and everyday devices are becoming increasingly network enabled, providing constant communication and interaction while producing a surfeit of data and events. The question then becomes, how can one locate some set ...

Oct 4 2013  
 
 
 
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