Cognitive Computing for Big Data Systems Over IoT. Frameworks, Tools and Applications.

Sangaiah, A, K. et al (Eds.)

ISBN 10: 331970687X / ISBN 13: 9783319706870

Published by Cham, Springer., 2018

About this Item

xvi, 375 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Seller Inventory # 42348HB

Bibliographic Details

• Title: Cognitive Computing for Big Data Systems Over IoT. Frameworks, Tools and Applications.
• Publisher: Cham, Springer.
• Publication Date: 2018
• Language: English
• ISBN 10: 331970687X
• ISBN 13: 9783319706870
• Binding: Soft cover
• Seller catalogs:
  • Informatik

About this title

Synopsis

Explores domain knowledge and reasoning of Data Technologies and Cognitive methods over the Internet of Things

Focuses on the design of best cognitive embedded data technologies to process and analyze the large amount of data collected through IoT and help for good decision-making

Concentrates on different perspectives of data analytics, ranging from Cognitive Design principles and best practices for IoT application development such as cyber-physical systems, context awareness, situation awareness and ambient intelligence

From the Back Cover

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 collectedthrough 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.