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Business Intelligence for Enterprise Internet of Things

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Cover of 'Business Intelligence for Enterprise Internet of Things'

Table of Contents

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    Book Overview
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    Chapter 1 Internet of Things (IoTs) Evolutionary Computation, Enterprise Modelling and Simulation
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    Chapter 2 Organization Internet of Things (IoTs): Supervised, Unsupervised, and Reinforcement Learning
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    Chapter 3 Enterprise IoT Modeling: Supervised, Unsupervised, and Reinforcement Learning
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    Chapter 4 An Overall Perspective on Establishing End-to-End Security in Enterprise IoT (E-IoT)
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    Chapter 5 Advanced Machine Learning for Enterprise IoT Modeling
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    Chapter 6 Enterprise Architecture for IoT: Challenges and Business Trends
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    Chapter 7 Semi-Supervised Machine Learning Algorithm for Predicting Diabetes Using Big Data Analytics
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    Chapter 8 On-the-Go Network Establishment of IoT Devices to Meet the Need of Processing Big Data Using Machine Learning Algorithms
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    Chapter 9 Analysis of Virtual Machine Placement and Optimization Using Swarm Intelligence Algorithms
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    Chapter 10 Performance Evaluation of Different Neural Network Classifiers for Sanskrit Character Recognition
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    Chapter 11 GA with Repeated Crossover for Rectifying Optimization Problems
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    Chapter 12 An Algorithmic Approach to System Identification in the Delta Domain Using FAdFPA Algorithm
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    Chapter 13 An IoT-Based Controller Realization for PV System Monitoring and Control
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    Chapter 14 Development of an Efficient, Cheap, and Flexible IoT-Based Wind Turbine Emulator
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    Chapter 15 An Application of IoT to Develop Concept of Smart Remote Monitoring System
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    Chapter 16 Heat Maps for Human Group Activity in Academic Blocks
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    Chapter 17 Emphasizing on Space Complexity in Enterprise Social Networks for the Investigation of Link Prediction Using Hybrid Approach
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    Chapter 18 Overview on Deep Neural Networks: Architecture, Application and Rising Analysis Trends
Attention for Chapter 5: Advanced Machine Learning for Enterprise IoT Modeling
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Citations

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Chapter title
Advanced Machine Learning for Enterprise IoT Modeling
Chapter number 5
Book title
Business Intelligence for Enterprise Internet of Things
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-44407-5_5
Book ISBNs
978-3-03-044406-8, 978-3-03-044407-5
Authors

N. Deepa, B. Prabadevi, Deepa, N., Prabadevi, B.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 18%
Professor 1 9%
Lecturer 1 9%
Student > Doctoral Student 1 9%
Unknown 6 55%
Readers by discipline Count As %
Computer Science 2 18%
Business, Management and Accounting 1 9%
Social Sciences 1 9%
Unknown 7 64%