Understandable Big Data: A survey

By C. Emani, Nadine Cullot, Christophe Nicolle. Computer Science Review, 2015

300 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/ae7940fb89385400262acf1299bf2205c689c460

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Truong Van Nguyen
2. Li Zhou

In Management Science and Operations Research

1. Petros Ieromonachou
2. Virginia L. M. Spiegler
3. Yong Lin

Citations in the corpus

• Big Data technologies: A survey (2017, unknown): “Large data sets consist of structured and unstructured data, public or private, local or distant, shared or confidential, complete or incomplete, etc. Emani et al. (2015) and Gandomi and Haider (2015) indicate that more Vs and other characteristics have been added by some actors to better define Big…”
• Big data analytics in smart grids: a review (2018, background): “For instance, the size of data on the internet is now measured in exabytes (10 18 ) and zettabytes (10 21 ) (Emani et al., 2015).”
• Big data analytics in supply chain management: A state-of-the-art literature review (2017, background): “BD has been characterized by 5Vs: volume, variety, velocity, veracity, and value (Wamba et al., 2015; Assunção et al., 2015; Emani et al., 2015).”