Cognitive Computing for Big Data Systems Over IoT
Frameworks, Tools and Applications
Editors: Sangaiah, Arun Kumar, Thangavelu, Arunkumar, Meenakshi Sundaram, Venkatesan (Eds.)
Free Preview- 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
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- About this book
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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.
- Table of contents (15 chapters)
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Beyond Automation: The Cognitive IoT. Artificial Intelligence Brings Sense to the Internet of Things
Pages 1-37
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Cybercrimes Investigation and Intrusion Detection in Internet of Things Based on Data Science Methods
Pages 39-62
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Modelling and Analysis of Multi-objective Service Selection Scheme in IoT-Cloud Environment
Pages 63-77
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Cognitive Data Science Automatic Fraud Detection Solution, Based on Benford’S Law, Fuzzy Logic with Elements of Machine Learning
Pages 79-95
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Reliable Cross Layer Design for E-Health Applications—IoT Perspective
Pages 97-113
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Table of contents (15 chapters)
- Download Preface 1 PDF (59.8 KB)
- Download Sample pages 2 PDF (237.3 KB)
- Download Table of contents PDF (56.9 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Cognitive Computing for Big Data Systems Over IoT
- Book Subtitle
- Frameworks, Tools and Applications
- Editors
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- Arun Kumar Sangaiah
- Arunkumar Thangavelu
- Venkatesan Meenakshi Sundaram
- Series Title
- Lecture Notes on Data Engineering and Communications Technologies
- Series Volume
- 14
- Copyright
- 2018
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing AG
- eBook ISBN
- 978-3-319-70688-7
- DOI
- 10.1007/978-3-319-70688-7
- Softcover ISBN
- 978-3-319-70687-0
- Series ISSN
- 2367-4512
- Edition Number
- 1
- Number of Pages
- XVI, 375
- Number of Illustrations
- 30 b/w illustrations, 51 illustrations in colour
- Topics
