Editors:
- Explores domain knowledge and data reasoning technologies and cognitive methods using the Internet of Things (IoTs)
- Focuses on the design of the best cognitive embedded data technologies to process and analyze the large amount of data collected via the IoT and aid good decision-making
- Explores 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
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 14)
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Table of contents (15 chapters)
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Front Matter
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Back Matter
About this book
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.
Editors and Affiliations
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School of Computing Science and Engineering, VIT University, Vellore, India
Arun Kumar Sangaiah, Arunkumar Thangavelu
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Department of Computer Science and Engineering, National Institute of Technology, Surathkal, Mangalore, India
Venkatesan Meenakshi Sundaram
Bibliographic Information
Book Title: Cognitive Computing for Big Data Systems Over IoT
Book Subtitle: Frameworks, Tools and Applications
Editors: Arun Kumar Sangaiah, Arunkumar Thangavelu, Venkatesan Meenakshi Sundaram
Series Title: Lecture Notes on Data Engineering and Communications Technologies
DOI: https://doi.org/10.1007/978-3-319-70688-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2018
Softcover ISBN: 978-3-319-70687-0Published: 10 January 2018
eBook ISBN: 978-3-319-70688-7Published: 30 December 2017
Series ISSN: 2367-4512
Series E-ISSN: 2367-4520
Edition Number: 1
Number of Pages: XVI, 375
Number of Illustrations: 30 b/w illustrations, 51 illustrations in colour
Topics: Computational Intelligence, Data Mining and Knowledge Discovery