Early History and Definitions While the current understanding of big data has existed in
some form since the late 1990's, the origins can be traced to the 1880 United States Census …

Abstract The Big Data minitrack features a number of papers addressing methods and
techniques, issues and challenges, and organizational approaches to processing and …

Big Data is relevant for massive amounts of data that do not have the potential to be
managed by the traditional information processing techniques. This paper sights on …

Big data refers to the massive quantity of data that are excessively large in size; hence, the
traditional processing tools cannot manage the same. It is high volume, high velocity, and …

Big data analytics is responsible for some of the biggest industry advancements in the world
today, whether they are used in the government, finance, healthcare, or other sectors. To …

Big data has grown into a very broad process. It refers to the huge amount of structured,
semi-structured and unstructured data that is produced exponentially in many areas by high …

[Front cover] | IEEE Conference Publication | IEEE Xplore [Front cover] Abstract: Presents
the front cover or splash screen of the proceedings record. Published in: 2016 4th Saudi …

Advances in automated data-collecting tools and methodologies have changed the
challenges, philosophy, thought processes and decision-making techniques in statistical …

• Contemporary science is typically subdivided into the natural sciences which study nature
in the broadest sense, the social sciences which study people and societies, and the formal …