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Cognitive Computing for Big Data Systems Over IoT - Frameworks, Tools and Applications (Paperback, 1st ed. 2018) Loot Price: R3,032
Discovery Miles 30 320
Cognitive Computing for Big Data Systems Over IoT - Frameworks, Tools and Applications (Paperback, 1st ed. 2018): Arun Kumar...

Cognitive Computing for Big Data Systems Over IoT - Frameworks, Tools and Applications (Paperback, 1st ed. 2018)

Arun Kumar Sangaiah, Arunkumar Thangavelu, Venkatesan Meenakshi Sundaram

Series: Lecture Notes on Data Engineering and Communications Technologies, 14

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Loot Price R3,032 Discovery Miles 30 320 | Repayment Terms: R284 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Lecture Notes on Data Engineering and Communications Technologies, 14
Release date: 2018
First published: 2018
Editors: Arun Kumar Sangaiah • Arunkumar Thangavelu • Venkatesan Meenakshi Sundaram
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 375
Edition: 1st ed. 2018
ISBN-13: 978-3-319-70687-0
Categories: Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-319-70687-X
Barcode: 9783319706870

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