The massive growth in the scale of data has been observed in recent years being a key
factor of the Big Data scenario. Big Data can be defined as high volume, velocity and variety …

The massive growth in the scale of data has been observed in recent years, being a key
factor of the Big Data scenario. Big Data can be defined as high volume, velocity, and variety …

The technical advancements and the availability of massive amounts of data on the Internet
draw huge attention from researchers in the areas of decision-making, data sciences …

During the last decade, the most challenging problem the world envisaged was big data
problem. The big data problem means that data is growing at a much faster rate than …

This paper first introduces the key features of big data in different processing modes and
their typical application scenarios, as well as corresponding representative processing …

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

Recent technological advancements have led to a deluge of data from distinctive domains
(eg, health care and scientific sensors, user-generated data, Internet and financial …

In the age of the Internet of Things and social media platforms, huge amounts of digital data
are generated by and collected from many sources, including sensors, mobile devices …

With the rapid growth of emerging applications like social network, semantic web, sensor
networks and LBS (Location Based Service) applications, a variety of data to be processed …

Big Data encompasses large volume of complex structured, semi‐structured, and
unstructured data, which is beyond the processing capabilities of conventional databases …