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Advances in Data Sciences, Security and Applications

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Table of Contents

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    Book Overview
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    Chapter 1 Classification and Analysis of Real-World Earthquake Data Using Various Machine Learning Algorithms
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    Chapter 2 Crime Data Set Analysis Using Formal Concept Analysis (FCA): A Survey
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    Chapter 3 Analyzing the Patterns of Delhi’s Air Pollution
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    Chapter 4 Predictive Analysis of NARX, NLIO, and RNN Networks for Short-Term Wind Power Forecasting
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    Chapter 5 Training Data on Recursive Parallel Processors for Deep Learning
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    Chapter 6 Advanced Anti-theft and Accident Alert System for Two-Wheelers Using Location-Based Services
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    Chapter 7 A Data Analytics Framework for Decision-Making in Agriculture
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    Chapter 8 Design Flaws and Cryptanalysis of a Standard Mutual Authentication Protocol for Cloud Computing-Based Healthcare System
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    Chapter 9 Cognitive Radio Based Environmental Health Monitoring and Regulation System for Toxic Gases
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    Chapter 10 How to Help Johnny to Travel in a Brimming Train?
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    Chapter 11 Soft Computing Paradigms Based Clustering in Wireless Sensor Networks: A Survey
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    Chapter 12 ANN Model for Liver Disorder Detection
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    Chapter 13 Design Flaws and Cryptanalysis of Elliptic Curve Cryptography-Based Lightweight Authentication Scheme for Smart Grid Communication
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    Chapter 14 Distributed Authentication Security for IOT Using DASS and LOKI91
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    Chapter 15 Macro Factors Affecting Cloud Computing Readiness: A Cross-Country Analysis
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    Chapter 16 Controller Area Network for Battlefield-of-Things
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    Chapter 17 An Experimental Approach to Unravel Effects of Malware on System Network Interface
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    Chapter 18 Smart Ticketing for Academic Campus Shuttle Transportation System Based on RFID
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    Chapter 19 Design of Big Data Privacy Framework—A Balancing Act
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    Chapter 20 Robust Speaker Recognition Based on Low-Level- and Prosodic-Level-Features
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    Chapter 21 Classification of Astronomical Objects Using Various Machine Learning Techniques
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    Chapter 22 Soundex Algorithm for Hindi Language Names
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    Chapter 23 How Do Innovation Lifecycle Phases Affect the Innovation Success of IT Firms?
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    Chapter 24 Behavioral Analysis of Active Facebook Users Using the NEO PI-R Model
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    Chapter 25 Forecasting Air Quality of Delhi Using ARIMA Model
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    Chapter 26 ETSP: Enhanced Trust-Based Security Protocol to Handle Blackhole Attacks in Opportunistic Networks
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    Chapter 27 Proposed Model for Distributed Storage Automation System Using Kubernetes Operators
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    Chapter 28 A Feature-Based Kinship Verification Technique Using Convolutional Neural Network
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    Chapter 29 Image Encryption Using Permutation–Diffusion Approach
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    Chapter 30 Facial Recognition Using Deep Learning
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    Chapter 31 Implications of Job Loading and Scheduling Structures on Machine Memory Effectiveness
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    Chapter 32 Comparative Study of the Electrical Energy Consumption and Cost for a Residential Building on Fully AC Loads Vis-a-Vis One on Fully DC Loads
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    Chapter 33 Analysis and Vulnerability Assessment of Various Models and Frameworks in Cloud Computing
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    Chapter 34 Adoption of Localization in E-commerce
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    Chapter 35 Review-Based Topic Distribution Profile for Recommender Systems
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    Chapter 36 Develop Ten Security Analytics Metrics for Big Data on the Cloud
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    Chapter 37 Orisyncrasy—An Ear Biometrics on the Fly Using Gabor Filter
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    Chapter 38 Dark Data Analytics Using Blockchain Technology
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Title
Advances in Data Sciences, Security and Applications
Published by
Springer Singapore, December 2019
DOI 10.1007/978-981-15-0372-6
ISBNs
978-9-81-150371-9, 978-9-81-150372-6
Editors

Jain, Vanita, Chaudhary, Gopal, Taplamacioglu, M. Cengiz, Agarwal, M. S.