Mai Abdrabo

Work place: Information Systems Department, Faculty of Computers and Information, Suez Canal University, Ismailia, 41611, Egypt

E-mail: mai_abdrabo86@yahoo.com

Website:

Research Interests: Database Management System, Data Structures and Algorithms

Biography

Mai Abdrabo is a demonstrator at the Faculty of Computers and Information, Suez Canal University. She obtained her bachelor's degree from Faculty of Computers and Information Suez Canal University in 2013. Her current research interests are Big Data and knowledge discovery.

Author Articles
Enhancing Big Data Value Using Knowledge Discovery Techniques

By Mai Abdrabo Mohammed Elmogy Ghada Eltaweel Sherif Barakat

DOI: https://doi.org/10.5815/ijitcs.2016.08.01, Pub. Date: 8 Aug. 2016

The world has been drowned by floods of data due to technological development. Consequently, the Big Data term has gotten the expression to portray the gigantic sum. Different sorts of quick data are doubling every second. We have to profit from this enormous surge of data to convert it to knowledge. Knowledge Discovery (KDD) can enhance detecting the value of Big Data based on some techniques and technologies like Hadoop, MapReduce, and NoSQL. The use of Big Data value is critical in different fields.
This survey discusses the expansion of data that led the world to Big Data expression. Big Data has distinctive characteristics as volume, variety, velocity, value, veracity, variability, viscosity, virality, ambiguity, and complexity. We will describe the connection between Big Data and KDD techniques to reach data value. Big Data applications that are applied by big organizations will be discussed. Characteristics of big data will be introduced, which represent a significant challenge for Big Data management. Finally, some of the important future directions in Big Data field will be presented.

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