Big Data bring new opportunities to modern society and challenges to data scientists. On the
one hand, Big Data hold great promises for discovering subtle population patterns and …

The need for new methods to deal with big data is a common theme in most scientific fields,
although its definition tends to vary with the context. Statistical ideas are an essential part of …

This handbook provides a state-of-the-art overview of the analysis of large-scale datasets.
Featuring contributions from statistics and computer science experts in industry and …

'Big data'poses challenges that require both classical multivariate methods and
contemporary techniques from machine learning and engineering. This modern text equips …

Rapid advance in science and technology in the past decade brings an extraordinary
amount of data, offering researchers an unprecedented opportunity to tackle complex …

Modern scientific inquiries require significant data-driven evidence and trans-disciplinary
expertise to extract valuable information and gain actionable knowledge about natural …

Big data are part of a paradigm shift that is significantly transforming statistical agencies,
processes, and data analysis. While administrative and satellite data are already well …

Big data analytics is a very fast growing research domain which embedded the combination
of computational (ie computer-intensive) and inferential (ie statisticsoriented) thinking …

Big Data promises to revolutionise the production of knowledge within and beyond science,
by enabling novel, highly efficient ways to plan, conduct, disseminate and assess research …

Big data have 4V characteristics of volume, variety, velocity, and veracity, which
authentically calls for big data analytics. However, what are the dominant characteristics of …