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Showing 1 to 5 of 5 for “"network analytics"”.

  1. Efficient Spatio-Temporal Network Analytics in Epidemiological Studies using Distributed Databases

    Real-time Spatio-Temporal Analytics has become an integral part of Epidemiological studies. The size of the spatio-temporal data has been increasing tremendously over the years, gradually evolving into Big Data. The processing in such domains are highly data and compute intensive. High performance …

    vt Repository record for Efficient Spatio-Temporal Network Analytics in Epidemiological Studies using Distributed Databases (opens in a new tab)

  2. Learning-Augmented Algorithms

    … counting triangles in a graph is a basic tool of network analytics and community detection in social networks. Lastly, the problem of estimating the number of distinct elements in a large data set (or, equivalently, the support size of the distribution induced by the data set) from a random sample …

    mit Repository record for Learning-Augmented Algorithms (opens in a new tab)

  3. MODELING AND MINING ANTIMICROBIAL RESISTANCE IN HUMAN AND ANIMAL POPULATIONS

    … in chicken-associated Escherichia coli. Network analytics and the association rules demonstrated that E. coli from chicken carcasses and chicken meat had similar multidrug resistance phenotypes, despite the high variability in the dataset. Finally, I refine and expand the association …

    cornell Repository record for MODELING AND MINING ANTIMICROBIAL RESISTANCE IN HUMAN AND ANIMAL POPULATIONS (opens in a new tab)

  4. Faster isomer network generation

    Isomer networks provide a mechanism to understand and interpret relationships between organic molecules with applications in medicinal chemistry and drug design. The extraction of isomer networks is a time and data-intensive computation. The contributions of this dissertation are a variety of …

    colo-mines Repository record for Faster isomer network generation (opens in a new tab)

  5. Online and active learning of big networks: theory and algorithms

    … thereby forming gigantic information networks. These networks are not only massive, but also grow and evolve very quickly. It is critical to quickly process and understand these networks in order to enable data-driven applications. On the other hand, the labels of the nodes in big …

    uiuc Repository record for Online and active learning of big networks: theory and algorithms (opens in a new tab)