TítuloOn processing extreme data

We compare several VaR methodologies: (1) Historical simulation, (2) Monte Carlo simulation, (3) Parametric methods and (4) Extreme Value Theory methods. Parametric and Extreme

Using ground-based data, meteorological observations, and atmospheric environmental monitoring data, a comparative analysis of the microphysical and optical properties, and

Google Fusion Tables Visualisation application/service Yes Web application, API JavaScript, Flash Free Browser External server Yes Tableau Public

Linked data, enterprise data, data models, big data streams, neural networks, data infrastructures, deep learning, data mining, web of data, signal processing, smart cities,

This separation was even more extreme in the Italian data, as the statistically significant collocate pairs in both the canonical and the variant form consisted of only 11 types

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Section 6 addresses the model and forecast of extreme maximum and extreme minimum values of temperatures in the South of Spain modeled by a CCP, obtaining the principal

This Subsection is devoted to the applications of link prediction studied within this dissertation, including prioritization using heterogeneous data, the disambiguation of