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The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)

Overview of attention for book
Cover of 'The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)'

Table of Contents

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    Book Overview
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    Chapter 1 Tiered Clustering for Time Series Data
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    Chapter 2 A Three-Step Machine Learning Pipeline for Detecting and Explaining Anomalies in the Time Series of Industrial Process Plants
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    Chapter 3 Detecting Phishing Websites Using Neural Network and Bayes Classifier
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    Chapter 4 A Blockchain Framework for On-Demand Intermodal Interlining: Blocklining
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    Chapter 5 Intersection of AI and Blockchain Technology: Concerns and Prospects
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    Chapter 6 SAIaaS: A Blockchain-Based Solution for Secure Artificial Intelligence as-a-Service
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    Chapter 7 Trade-Off Between Security and Scalability in Blockchain Design: A Dynamic Sharding Approach
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    Chapter 8 BC-HRM: A Blockchain-Based Human Resource Management System Utilizing Smart Contracts
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    Chapter 9 Applicability of the Software Security Code Metrics for Ethereum Smart Contract
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    Chapter 10 A Recommendation Model Based on Visitor Preferences on Commercial Websites Using the TKD-NM Algorithm
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    Chapter 11 Reinforcement Learning: A Friendly Introduction
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    Chapter 12 Universal Multi-platform Interaction Approach for Distributed Internet of Things
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    Chapter 13 A Practical and Economical Bayesian Approach to Gas Price Prediction
Attention for Chapter 3: Detecting Phishing Websites Using Neural Network and Bayes Classifier
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Citations

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Readers on

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Summary Dimensions citations
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Chapter title
Detecting Phishing Websites Using Neural Network and Bayes Classifier
Chapter number 3
Book title
The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-030-84337-3_3
Book ISBNs
978-3-03-084336-6, 978-3-03-084337-3
Authors

Partheepan, Ravinthiran

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 11%
Student > Bachelor 1 11%
Unknown 7 78%
Readers by discipline Count As %
Arts and Humanities 1 11%
Unspecified 1 11%
Unknown 7 78%

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