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Advances in Data Science, Cyber Security and IT Applications

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Cover of 'Advances in Data Science, Cyber Security and IT Applications'

Table of Contents

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    Book Overview
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    Chapter 1 A Comparative Study of Three Blockchain Emerging Technologies: Bitcoin, Ethereum and Hyperledger
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    Chapter 2 Comparison of Supervised and Unsupervised Fraud Detection
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    Chapter 3 Cybersecurity: Design and Implementation of an Intrusion Detection and Prevention System
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    Chapter 4 Detailed Quantum Cryptographic Service and Data Security in Cloud Computing
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    Chapter 5 The Effects of the Property of Access Possibilities and Cybersecurity Awareness on Social Media Application
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    Chapter 6 A Blockchain Review: A Comparative Study Between Public Key Infrastructure and Identity Based Encryption
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    Chapter 7 عrbeng:- Android Live Voice and Text Chat Translator
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    Chapter 8 Improving Accuracy of Imbalanced Clinical Data Classification Using Synthetic Minority Over-Sampling Technique
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    Chapter 9 Learning Case-Based Reasoning Solutions by Association Rules Approach
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    Chapter 10 Stochastic Local Search Based Feature Selection Combined with K-means for Clients’ Segmentation in Credit Scoring
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    Chapter 11 Real Time Search Technique for Distributed Massive Data Using Grid Computing
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    Chapter 12 Analytical Experiments on the Utilization of Data Visualizations
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    Chapter 13 A Tweet-Ranking System Using Sentiment Scores and Popularity Measures
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    Chapter 14 Event-Based Driving Style Analysis
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    Chapter 15 Swarm Intelligence and ICA for Blind Source Separation
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    Chapter 16 Shiny Framework Based Visualization and Analytics Tool for Middle East Respiratory Syndrome
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    Chapter 17 Ensemble Learning Sentiment Classification for Un-labeled Arabic Text
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    Chapter 18 Predicting No-show Medical Appointments Using Machine Learning
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    Chapter 19 Cancer Incidence Prediction Using a Hybrid Model of Wavelet Transform and LSTM Networks
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    Chapter 20 Enhanced Support Vector Machine Applied to Land-Use Classification
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    Chapter 21 Predicting Students’ Academic Performance and Main Behavioral Features Using Data Mining Techniques
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    Chapter 22 Crime Types Prediction
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    Chapter 23 Intensive Survey About Road Traffic Signs Preprocessing, Detection and Recognition
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    Chapter 24 Machine Learning for Automobile Driver Identification Using Telematics Data
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    Chapter 25 Employee Turnover Prediction Using Machine Learning
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    Chapter 26 Predicting Saudi Stock Market Index by Incorporating GDELT Using Multivariate Time Series Modelling
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Title
Advances in Data Science, Cyber Security and IT Applications
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-36365-9
ISBNs
978-3-03-036364-2, 978-3-03-036365-9
Editors

Auhood Alfaries, Hanan Mengash, Ansar Yasar, Elhadi Shakshuki

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