Big Data Analytics: A Literature Review Paper

By Nada El-Gendy, Ahmed Elragal. Industrial Conference on Data Mining, 2014

386 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/780798fc2af8ea66bbedd1e6b6d0da41c49d8ea4

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. Agung Wahyudi
2. Athanasios V. Vasilakos
3. Haiko Van Der Voort
4. Marijn Janssen
5. Jiafu Wan

In Information Systems

1. Agung Wahyudi
2. Athanasios V. Vasilakos
3. Haiko Van Der Voort
4. Marijn Janssen
5. Jiafu Wan
6. Maranke Wieringa

In Management Information Systems

1. Agung Wahyudi
2. Haiko Van Der Voort
3. Marijn Janssen

Citations in the corpus

• Factors influencing big data decision-making quality (2017, methodology): “Big data refers to datasets that are both big and high in variety and velocity, which makes them difficult to handle using traditional tools and techniques (Elgendy & Elragal, 2014).”
• Data Mining for the Internet of Things: Literature Review and Challenges (2015, background): “Data mining can highly benefit industries such as retail, banking, and telecommunications; classification and clustering can be applied to this area [104].”