Abstract
Call for Papers: Special Issue on Computational Intelligence Methods for Big Data Analytics under Uncertain Environments
Highlights
Big Data Analytics (BDA) can be characterized by several properties, such as large volume, a variety of different sources, and fast increasing speed
The BDA problems are rather difficult to solve due to their largescale, high-dimensional, and dynamic properties, while the problems with small data are usually hard to handle due to insufficient data samples and incomplete information
BDA can be characterized by several properties, such as large volume, a variety of different sources, and fast increasing speed
Summary
BDA can be characterized by several properties, such as large volume, a variety of different sources, and fast increasing speed (velocity). Automatic extraction of knowledge from massive data samples, i.e., Big Data Analytics (BDA), has emerged as a vital task in almost all scientific research fields.
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