FREE delivery to all EXCLUSIVE BOOKS stores nationwide. FREE delivery to your door on all orders over R450. Excludes all international deliveries.

  • Safe delivery by Christmas SANTA SAFE
    Sublinear Algorithms for Big Data Applications

Sublinear Algorithms for Big Data Applications

Dan Wang
    Product form
      FORMAT: Paperback / softback

      R 1,519.41 Price and availability exclusive to website

      YOU COULD EARN 1,519.41 FUTURE RETAIL DISCOUNTS.
      ESTIMATED DELIVERY: Approx. 10 - 15 Business Days
      BUY NOW PAY LATER
      From R 253.23 per month!
      3x monthly payments of R 506.47 with
      4x fortnightly payments of R 379.85 with
      The brief focuses on applying sublinear algorithms to manage critical big data challenges. The text offers an essential introduction to sublinear algorithms, explaining why they are vital to large scale data systems. It also demonstrates how to apply sublinear algorithms to three familiar big data applications: wireless sensor networks, big data processing in Map Reduce and smart grids. These applications present common experiences, bridging the theoretical advances of sublinear algorithms and the application domain. Sublinear Algorithms for Big Data Applications is suitable for researchers, engineers and graduate students in the computer science, communications and signal processing communities.
      Format: Paperback / softback CONTRIBUTORS: Dan Wang EAN: 9783319204475 COUNTRY: Switzerland PAGES: WEIGHT: 454 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2015-08-20 CITY: GENRE: COMPUTERS / Database Administration & Management, COMPUTERS / Networking / Hardware, TECHNOLOGY & ENGINEERING / Telecommunications WIDTH: 155 cm SPINE:

      Book Themes:

      Communications engineering / telecommunications, Network hardware, Databases

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      The brief focuses on applying sublinear algorithms to manage critical big data challenges. The text offers an essential introduction to sublinear algorithms, explaining why they are vital to large scale data systems. It also demonstrates how to apply sublinear algorithms to three familiar big data applications: wireless sensor networks, big data processing in Map Reduce and smart grids. These applications present common experiences, bridging the theoretical advances of sublinear algorithms and the application domain. Sublinear Algorithms for Big Data Applications is suitable for researchers, engineers and graduate students in the computer science, communications and signal processing communities.
      Format: Paperback / softback CONTRIBUTORS: Dan Wang EAN: 9783319204475 COUNTRY: Switzerland PAGES: WEIGHT: 454 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2015-08-20 CITY: GENRE: COMPUTERS / Database Administration & Management, COMPUTERS / Networking / Hardware, TECHNOLOGY & ENGINEERING / Telecommunications WIDTH: 155 cm SPINE:

      Book Themes:

      Communications engineering / telecommunications, Network hardware, Databases

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)

      Recently viewed products

      Login

      Forgot your password?

      Don't have an account yet?
      Create account