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Cognitive Computing for Big Data Systems Over IoT

Frameworks, Tools and Applications

Language EnglishEnglish
Book Paperback
Book Cognitive Computing for Big Data Systems Over IoT Arun Kumar Sangaiah
Libristo code: 18344636
Publishers Springer International Publishing AG, January 2018
This book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas... Full description
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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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About the book

Full name Cognitive Computing for Big Data Systems Over IoT
Language English
Binding Book - Paperback
Date of issue 2018
Number of pages 375
EAN 9783319706870
ISBN 331970687X
Libristo code 18344636
Weight 805
Dimensions 155 x 235 x 22
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