The term 'Big Data'has spread rapidly in the framework of Data Mining and Business
Intelligence. This new scenario can be defined by means of those problems that cannot be …

Reliability field data such as that obtained from warranty claims and maintenance records
have been used traditionally for such purposes as generating predictions for warranty costs …

The richly illustrated Interactive Web-Based Data Visualization with R, plotly, and shiny
focuses on the process of programming interactive web graphics for multidimensional data …

We present statistical methods for big data arising from online analytical processing, where
large amounts of data arrive in streams and require fast analysis without storage/access to …

An increasing number of interactive visualization tools stress the integration with
computational software like MATLAB and R to access a variety of proven algorithms. In …

With the ever-increasing volume of data, alternative strategies are required to divide big data
into statistically consistent data blocks that can be used directly as representative samples of …

Principal component analysis (PCA) is a powerfultool in dimensional reduction for highly
correlated data. ClassicalPCA approaches cannot be applied to big data because ofmemory …

The paper presents an incremental updating algorithm to analyse streaming data sets using
generalized linear models. The method proposed is formulated within a new framework of …

Background Hypertension remains a leading global cause for premature death and disease.
Most treatment guidelines emphasize the importance of risk factors, but not all are known …

Big data are data on a massive scale in terms of volume, intensity, and complexity that
exceed the capacity of standard analytic tools. They present opportunities as well as …