The recent pursuits emerging in the realm of big data
processing, interpretation, collection and organization have
emerged in numerous sectors including business, industry and
government organizations. Data sets such as customer transactions
for a mega-retailer, weathermonitoring, intelligence gathering,
quickly outpace the capacities of traditional techniques and tools
of data analysis. The 3V (volume, variability and velocity)
challenges led to the emergence of new techniques and tools in data
visualization, acquisition, and serialization. Soft Computing being
regarded as a plethora of technologies of fuzzy sets (or Granular
Computing), neurocomputing and evolutionary optimization brings
forward a number of unique features that might be instrumental to
the development of concepts and algorithms to deal with big
data.
This carefully edited volume provides the reader with an
updated, in-depth material on the emerging principles, conceptual
underpinnings, algorithms and practice of Computational
Intelligence in the realization of concepts and implementation of
big data architectures, analysis, and interpretation as well as
data analytics. The book is aimed at a broad audience of
researchers and practitioners including those active in various
disciplines in which big data, their analysis and optimization are
of genuine relevance. One focal point is the systematic exposure of
the concepts, design methodology, and detailed algorithms. In
general, the volume adheres to the top-down strategy starting with
the concepts and motivation and then proceeding with the detailed
design that materializes in specific algorithms and representative
applications. The material is self-contained and provides the
reader with all necessary prerequisites and augments some parts
with a step-by-step explanation of more advanced concepts supported
by a significant amount of illustrative numeric material and some
application scenarios to motivate the reader and make some abstract
concepts more tangible."
General
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