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Metaheuristics for Big Data (Hardcover)
Loot Price: R3,955
Discovery Miles 39 550
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Metaheuristics for Big Data (Hardcover)
Expected to ship within 12 - 17 working days
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Big Data is a new field, with many technological challenges to be
understood in order to use it to its full potential. These
challenges arise at all stages of working with Big Data, beginning
with data generation and acquisition. The storage and management
phase presents two critical challenges: infrastructure, for storage
and transportation, and conceptual models. Finally, to extract
meaning from Big Data requires complex analysis. Here the authors
propose using metaheuristics as a solution to these challenges;
they are first able to deal with large size problems and secondly
flexible and therefore easily adaptable to different types of data
and different contexts. The use of metaheuristics to overcome some
of these data mining challenges is introduced and justified in the
first part of the book, alongside a specific protocol for the
performance evaluation of algorithms. An introduction to
metaheuristics follows. The second part of the book details a
number of data mining tasks, including clustering, association
rules, supervised classification and feature selection, before
explaining how metaheuristics can be used to deal with them. This
book is designed to be self-contained, so that readers can
understand all of the concepts discussed within it, and to provide
an overview of recent applications of metaheuristics to knowledge
discovery problems in the context of Big Data.
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