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Advances in Big Data Analytics - Theory, Algorithms and Practices (Hardcover, 1st ed. 2022)
Loot Price: R5,081
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Advances in Big Data Analytics - Theory, Algorithms and Practices (Hardcover, 1st ed. 2022)
Expected to ship within 12 - 17 working days
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Today, big data affects countless aspects of our daily lives. This
book provides a comprehensive and cutting-edge study on big data
analytics, based on the research findings and applications
developed by the author and his colleagues in related areas. It
addresses the concepts of big data analytics and/or data science,
multi-criteria optimization for learning, expert and rule-based
data analysis, support vector machines for classification, feature
selection, data stream analysis, learning analysis, sentiment
analysis, link analysis, and evaluation analysis. The book also
explores lessons learned in applying big data to business,
engineering and healthcare. Lastly, it addresses the advanced topic
of intelligence-quotient (IQ) tests for artificial intelligence.
Since each aspect mentioned above concerns a specific domain of
application, taken together, the algorithms, procedures, analysis
and empirical studies presented here offer a general picture of big
data developments. Accordingly, the book can not only serve as a
textbook for graduates with a fundamental grasp of training in big
data analytics, but can also show practitioners how to use the
proposed techniques to deal with real-world big data problems.
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