In the last decades big data has facilitating and improving our daily duties in the medical
research and clinical fields; the strategy to get to this point is understanding how to organize …

In recent years, huge amounts of structured, unstructured, and semi-structured data have
been generated by various institutions around the world and, collectively, this …

Big Data analytics has been the main focus in all the industries today. It is not overstating
that if an enterprise is not using Big Data analytics, it will be a stray and incompetent in their …

Introduction Nowadays large data volumes are daily generated at a high rate. Data from
health system, social network, financial, government, marketing, bank transactions as well …

Apache Hadoop framework supports the storing and processing of big data datasets using
simple programming models. Energy management has been recognized as one of the major …

Data mining and machine learning techniques for processing raster data consider a single
spectral band of data at a time. The individual results are combined to obtain the final output …

Abstract The Social, Mobile, Analytics and Cloud (SMAC) explosion in recent times changed
the way the customers look at and collaborate businesses through large world of data or …

Clustering algorithm analysis, including time and space complexity analysis, has always
been discussed in the literature. The emergence of big data has also created a lot of …

Recently, a massive quantity of data is being produced from a distinct number of sources
and the size of the daily created on the Internet has crossed two Exabytes. At the same time …

This chapter explores the rise of “big data” and the computational strategies, both hardware
and software, that have evolved to deal with this paradigm. Starting with the concept of data …