Sublinear Algorithms for Big Data Applications

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À propos

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.

  • Auteur(s)

    Dan Wang, Zhu Han

  • Éditeur

    Springer

  • Date de parution

    16/07/2015

  • EAN

    9783319204482

  • Disponibilité

    Disponible

  • Action copier/coller

    Non

  • Action imprimer

    Dans le cadre de la copie privée

  • Nb pages imprimables

    1

  • Partage

    Dans le cadre de la copie privée

  • Nb Partage

    6 appareils

  • Poids

    1 096 Ko

  • Distributeur

    Numilog

  • Diffuseur

    Numilog

  • Entrepôt

    Numilog

  • Support principal

    ebook (ePub)

  • Ref catalogue

    1416095

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