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Cognitive Computing for Big Data Systems Over IoT

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Cover of 'Cognitive Computing for Big Data Systems Over IoT'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Beyond Automation: The Cognitive IoT. Artificial Intelligence Brings Sense to the Internet of Things
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    Chapter 2 Cybercrimes Investigation and Intrusion Detection in Internet of Things Based on Data Science Methods
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    Chapter 3 Modelling and Analysis of Multi-objective Service Selection Scheme in IoT-Cloud Environment
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    Chapter 4 Cognitive Data Science Automatic Fraud Detection Solution, Based on Benford’S Law, Fuzzy Logic with Elements of Machine Learning
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    Chapter 5 Reliable Cross Layer Design for E-Health Applications—IoT Perspective
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    Chapter 6 Erasure Codes for Reliable Communication in Internet of Things (IoT) Embedded with Wireless Sensors
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    Chapter 7 Review: Security and Privacy Issues of Fog Computing for the Internet of Things (IoT)
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    Chapter 8 A Review on Security and Privacy Challenges of Big Data
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    Chapter 9 Recent Trends in Deep Learning with Applications
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    Chapter 10 High-Level Knowledge Representation and Reasoning in a Cognitive IoT/WoT Context
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    Chapter 11 Applications of IoT in Healthcare
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    Chapter 12 Security Stipulations on IoT Networks
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    Chapter 13 A Hyper Heuristic Localization Based Cloned Node Detection Technique Using GSA Based Simulated Annealing in Sensor Networks
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    Chapter 14 Review on Analysis of the Application Areas and Algorithms used in Data Wrangling in Big Data
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    Chapter 15 An Innovation Model for Smart Traffic Management System Using Internet of Things (IoT)
Attention for Chapter 4: Cognitive Data Science Automatic Fraud Detection Solution, Based on Benford’S Law, Fuzzy Logic with Elements of Machine Learning
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Chapter title
Cognitive Data Science Automatic Fraud Detection Solution, Based on Benford’S Law, Fuzzy Logic with Elements of Machine Learning
Chapter number 4
Book title
Cognitive Computing for Big Data Systems Over IoT
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-70688-7_4
Book ISBNs
978-3-31-970687-0, 978-3-31-970688-7
Authors

Goran Klepac

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 21%
Student > Ph. D. Student 2 14%
Researcher 2 14%
Student > Bachelor 1 7%
Student > Postgraduate 1 7%
Other 0 0%
Unknown 5 36%
Readers by discipline Count As %
Computer Science 7 50%
Psychology 1 7%
Engineering 1 7%
Unknown 5 36%