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This book brings a high level of fluidity to analytics and
addresses recent trends, innovative ideas, challenges and cognitive
computing solutions in big data and the Internet of Things (IoT).
It explores domain knowledge, data science reasoning and cognitive
methods in the context of the IoT, extending current data science
approaches by incorporating insights from experts as well as a
notion of artificial intelligence, and performing inferences on the
knowledge The book provides a comprehensive overview of the
constituent paradigms underlying cognitive computing methods, which
illustrate the increased focus on big data in IoT problems as they
evolve. It includes novel, in-depth fundamental research
contributions from a methodological/application in data science
accomplishing sustainable solution for the future perspective.
Mainly focusing on the design of the best cognitive embedded data
science technologies to process and analyze the large amount of
data collected through the IoT, and aid better decision making, the
book discusses adapting decision-making approaches under cognitive
computing paradigms to demonstrate how the proposed procedures as
well as big data and IoT problems can be handled in practice. This
book is a valuable resource for scientists, professionals,
researchers, and academicians dealing with the new challenges and
advances in the specific areas of cognitive computing and data
science approaches.
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