TítuloA New Missing Data Imputation Algorithm Applied to Electrical Data Loggers

To analyze the available data quality models in the context of Big Data applications and adapt a quality model from the existing ones which can be applied to specific Big

However, missing data imputation in networking explores the ability of missing data imputation algorithms when the information was lost due to communication problems,

These are called Dirichlet type spaces because for p=0 one gets the classical Dirichlet space D of all analytic functions on 2 whose images have finite area, counting

In this chapter, we present a new methodology to approxi- mate a trapezoidal fuzzy numbers set by using radial basis functions (RBF s), the methodology use different similarity

CoDA, compositional data analysis; FDA, functional data analysis; ISO, isotemporal substitution models; MPA, multivariate pattern analysis; MVPA, moderate- to- vigorous PA;

Basque nationalist extremism has declined dramatically during the last 25 years. By relying on a theoretically-driven multivariate statistical approach of the available data, much

• Frente a la responsabilidad por leyes exequibles, la jurisprudencia deja de lado el requisito de la especialidad del daño. Ante esta situación, la propuesta radica en poner

Keywords: Data stream, Concept drift, Data preprocessing, Data reduction, Discretization, Online