Data Engineering for Smart Systems: Proceedings of SSIC 2021

Preface
Contents
Editors and Contributors
Using Machine Learning, Image Processing and Neural Networks to Sense Bullying in K-12 Schools: Enhanced
	1 Introduction
	2 Methodology of Research and Solution Development
		2.1 Bullying Parameters/Features
		2.2 Integration with School Infrastructure
		2.3 Techniques Involved
		2.4 Implementation Infrastructure
	3 Result
	4 Improvements
	5 Conclusion
	References
Feature-Based Comparative Study of Machine Learning Algorithms for Credibility Analysis of Online Social Media Content
	1 Introduction
	2 Related Work/Existing Technologies
		2.1 Decision Tree Induction
		2.2 Support Vector Machine (SVM)
		2.3 Random Forest
		2.4 K-Nearest Neighbour (KNN)
	3 Ant Colony Optimization
	4 Feature Selection Using ACO
	5 System Architecture for Analysis
	6 Results
	7 Conclusion and Future Scope
	References
Smart Support System for Navigation of Visually Challenged Person Using IOT
	1 Introduction
	2 Literature Review
	3 Product Modeling
	4 Algorithms
	5 Output
	6 Conclusion
	References
Identity-Based Video Summarization
	1 Introduction
	2 Proposed System
	3 Methodology
	4 Experimental Setup
		4.1 Process
		4.2 Deployment
	5 Results
		5.1 Testing of the Model
		5.2 Comparative Analysis
	6 Conclusion
	References
Security Testing for Blockchain Enabled IoT System
	1 Introduction
		1.1 Blockchain
		1.2 Internet of Things
	2 Literature Review
	3 Methodology
	4 An Overview of Blockchain Technology
		4.1 The Network of Autonomous Nodes
		4.2 A Ledger
		4.3 The Distributed Database
	5 Smart Contracts
	6 Blockchain-Enabled IoT
	7 Workflow Method
	8 Security Testing
	9 Proposed Approach
		9.1 Device Identity
		9.2 Message Authentication
		9.3 Firmware Hashing
		9.4 Device Reputation
	10 Blockchain Technology for IoT Security
	11 Result and Discussion
	12 Conclusion
	References
Two-Dimensional Software Reliability Model with Considering the Uncertainty in Operating Environment and Predictive Analysis
	1 Introduction
	2 Software Reliability Modeling
		2.1 A General NHPP SRGM
		2.2 Proposed Model
	3 Numerical Result and Discussion
		3.1 Predictive Analysis
	4 Conclusions
	References
Object Recognition in a Cluttered Scene
	1 Introduction
	2 Methodology
	3 Test Results
	4 Quantitative Analysis
	5 Conclusion
	References
Breast Cancer Prediction on BreakHis Dataset Using Deep CNN and Transfer Learning Model
	1 Introduction
	2 Related Work
	3 Related Theories
		3.1 Convolution Neural Network (CNN)
		3.2 Transfer Learning
	4 Data Preparation and Preprocessing Techniques
		4.1 Dataset
		4.2 Data Augmentation
		4.3 Normalization
	5 Proposed Method
		5.1 Experimental Setup
		5.2 Evaluation Criteria
	6 Results and Discussion
	7 Conclusion
	References
A Comprehensive Tool Survey for Blockchain to IoT Applications
	1 Introduction
	2 Background
		2.1 Levels of Testing and Its Methods
		2.2 Testing the Internet of Things
		2.3 Testing the Blockchain
	3 Research Challenges
		3.1 IoT Testing Tools
		3.2 Blockchain Testing Tools
		3.3 Blockchain and IoT Testing Tools
	4 IoT and Blockchain Integration
	5 Opportunities
		5.1 Privacy
		5.2 Exchange of Data and Estimation of Cash
		5.3 Enlistment of Records for Records and Reviews
		5.4 Smart Understanding
	6 Comparison of Testing Solutions
	7 Result and Discussion
	8 Conclusion
	References
Hybrid Ensemble for Fake News Detection: An Attempt
	1 Introduction
	2 Related Work
	3 Proposed Method
		3.1 Dataset
		3.2 Preprocessing
		3.3 Removal of Columns
		3.4 Addition of New Columns
		3.5 Word Embeddings
		3.6 The ML Models
		3.7 The ANN
		3.8 The Hybrid Ensemble
		3.9 The Architecture
	4 Experiments
	5 Discussion
	6 Conclusion
	References
Detectıon of Abnormal Activity at College Entrance Through Video Surveillance
	1 Introduction
	2 Previous Work
	3 Proposed Methodology
		3.1 Input Video
		3.2 Processing
		3.3 Logo Detection
		3.4 Number Plate Detection
	4 Results and Discussion
		4.1 Color Detection and Number Plate Extraction
		4.2 Database
	5 Conclusion
	References
Audio Peripheral Volume Automation Based on the Surrounding Environment and Individual Human Listening Traits
	1 Introduction
	2 Related Work
	3 Proposed Methodology
		3.1 Environment Sound Classification
		3.2 Understanding Individual Human Listening Traits Using a Classification Algorithm
		3.3 Integrated Working of the Components
	4 Experimental Results and Analysis
		4.1 Dataset and Experimental Setup
		4.2 Result and Analysis
	5 Conclusion and Future Work
	References
A Survey: Accretion in Linguistic Classification of Indian Languages
	1 Introduction
	2 Literature Review
		2.1 Hindi Text
		2.2 Gujarati Text
		2.3 English Text
		2.4 Punjabi Text
		2.5 Other Languages
	3 Conclusion
	References
The Positive Electronic Word of Mouth: A Research Based on the Relational Mediator Meta-Analytic Framework in Electronic Marketplace
	1 Introduction
	2 Literature Review
		2.1 The Antecedents of the Relationship
		2.2 Customer-Focuses Relational Mediator
		2.3 Research Hypotheses
	3 Research Method
	4 Result
	5 Discussion
	6 Conclusion
	References
A Review: Web Content Mining Techniques
	1 Introduction
		1.1 Finding Appropriate Information
		1.2 Creation of New Knowledge from the Web
		1.3 Personalizing Data
		1.4 Analyzing Individual User Preferences
	2 Literature Review
	3 Web Mining
		3.1 Resource Finding
		3.2 Selection of Information and Pre-processing
		3.3 Generalization
		3.4 Analysis
		3.5 Visualization
	4 Web Mining Techniques
	5 Web Content Mining (Wcm)
	6 Web Content Mining Techniques
		6.1 Unstructured Data
		6.2 Structured Data
		6.3 For Semi-structured Data
		6.4 Multimedia Data
	7 Applications of Web Content Mining
	8 Conclusion
	References
GPS-Free Localization in Vehicular Networks Using Directional Antennas
	1 Introduction
		1.1 GPS-Assisted and GPS-Free Localization
		1.2 Motivation
		1.3 Problem Definition
		1.4 Paper Organization
	2 Proposed Model
		2.1 System Model
		2.2 GPS-Free Localization Algorithm
	3 Experimental Results and Discussion
		3.1 Result Analysis for Antenna Orientation
		3.2 Result Analysis for Antenna Beam Width
		3.3 Comparison with State-of-Art Methods
	4 Conclusion
	References
An Improved Scheme in AODV Routing Protocol for Enhancement of QoS in MANET
	1 Introduction
		1.1 AODV Routing Protocol
	2 Related Works
	3 Proposed Work
		3.1 Performance Evaluation Parameters ch17b16,ch17b17
	4 Simulation and Result Discussion
	5 Conclusions and Future Work
	References
Knowledge Management Framework  for Sustainability and Resilience in Next-Gen e-Governance
	1 Introduction
	2 Background
		2.1 e-Governance in India
		2.2 Emerging Trends and Technologies
	3 Knowledge Management Framework
		3.1 Sustainability and Resilience
		3.2 Next-Gen Technologies in e-Governance
		3.3 Challenges in Adopting Next-Gen Technologies in e-Governance
	4 Conclusion
	References
Enriching WordNet with Subject Specific Out of Vocabulary Terms Using Existing Ontology
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Preprocessing the Data
		3.2 Extract Informative Words
		3.3 Generate Graph Using Wikidata
		3.4 Identify Out of Vocabulary (OOV) Terms in WordNet
		3.5 Assign a Place in WordNet Hierarchy
	4 Results
	5 Conclusion
	References
Automatic Detection of Grape, Potato and Strawberry Leaf Diseases Using CNN and Image Processing
	1 Introduction
	2 Literature Review
	3 Proposed Methodology
		3.1 Flowchart of the Methodology
		3.2 Training the Model
	4 Result and Discussion
		4.1 Analytical Analysis
		4.2 Accuracy Graph
		4.3 Confusion Matrix
		4.4 Result Analysis of Different Model
	5 Conclusion
	References
Sentiment Analysis on Global Warming Tweets Using Naïve Bayes and RNN
	1 Introduction
		1.1 Naive Bayes Classifier for Multinomial Models
		1.2 Recurrent Neural Network
	2 Literature Review
	3 Methods Adopted
	4 Experimental Results
		4.1 Multinomial Naïve Bayes Approach
		4.2 Long Short-Term Memory Approach
		4.3 A Brief Comparison
	5 Conclusion and Future Work
	References
Novel and Prevalent Techniques for Resolving Control Hazard
	1 Introduction
	2 Established Techniques for Resolving Control Hazard
		2.1 Handling Control Hazard by Re-forming Processor\'s Pipeline Organization
		2.2 Fine-Grain Multithreading
		2.3 Speculative Execution Using Multithreading: A Case of Out of Order Processor
		2.4 Accurate Branch Prediction for Short Threads on Multicore Processor
		2.5 TAGE-SC-L Branch Predictors
	3 Conclusion
	References
Sound Classification Using Residual Convolutional Network
	1 Introduction
	2 Related Work
	3 Data Preparation
		3.1 Dataset
		3.2 Feature Extraction
	4 Convolutional Neural Network
		4.1 Architecture
		4.2 Fine Tuning
	5 Conclusion
	References
Dimensionality Reduction Using Variational Autoencoders
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Dataset
		3.2 Model Generation
	4 Implementation
	5 Results
	6 Conclusion
	7 Future Scope
	References
Computational Intelligence for Image Caption Generation
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Dataset
		3.2 Evaluation Metrics
		3.3 Model Generation
	4 Implementation
	5 Results
	6 Conclusion
	7 Future Scope
	References
An Empirical Statistical Analysis of COVID-19 Curve Through Newspaper Mining
	1 Introduction
	2 Motivation and Some Earlier Work
	3 Experimental Setup
		3.1 Methodology
		3.2 Choice of Data
		3.3 Brief Overview
		3.4 Data Extraction
		3.5 Data Cleaning
		3.6 Data Pre-Processing
		3.7 OCR Conversion
		3.8 Data Export
		3.9 Analysis
	4 Conclusion
	References
Wearable Monopole Antenna with 8-Shaped EBG for Biomedical Imaging
	1 Introduction
	2 Antenna Designs
		2.1 Design of Multi Band Monopole Antenna
		2.2 Design of Double Band Monopole Antenna with EBG Structure
	3 Discussion of Results
		3.1 Return Loss (S11)
		3.2 Radiation Performance
		3.3 VSWR(Voltage Standing Wave Ratio)
		3.4 Comparison of Monopole Antenna and Monopole Antenna with EBG Structure
	4 Conclusion and Future Work
	References
Speech Signal Processing for Identification of Under-Resourced Languages
	1 Introduction
	2 Background Research
	3 Identification Process and the Corpus
		3.1 Corpus Used for LID
	4 The i-Vector System
		4.1 Total Variability Modelling for i-Vector
		4.2 Feature Extraction
		4.3 Backend Classifier
	5 Evaluation and Results
		5.1 Results of the i-Vector System
	6 Conclusion and Future Work
	References
A Unique ECG Authentication System for Health Monitoring
	1 Introduction
	2 Existing Work
	3 Data Collection
	4 Proposed Patient Identification System
		4.1 Preprocessing
		4.2 Feature Extraction
		4.3 Support Vector Machine as a Classifier
		4.4 Performance Parameters
	5 Results and Discussions
		5.1 Input Feature Matrices
		5.2 Analysis and Study of SVM for DB3Level3
		5.3 Testing Data Comparison Among Different Levels of DB-3
		5.4 Graphical Analysis of Patient Detection Accuracy
	6 Conclusion
	References
Assamese Dialect Identification From Vowel Acoustics
	1 Introduction
	2 Assamese Language and Vowels
	3 Methodology
		3.1 Database
		3.2 Acoustic Phonetic Features
		3.3 Acoustics of Assamese Vowels
	4 Identification of Assamese Dialects Using Random Forest
		4.1 Random Forest Classification
		4.2 Experimental Setup and Parameter Tuning
		4.3 Region-Wise Classification
		4.4 Dialect-Wise Classification
		4.5 Region-Wise Classification with Balanced Dataset
	5 Conclusion
	References
A Review on Metaheuristic Techniques in Automated Cryptanalysis of Classical Substitution Cipher
	1 Introduction
	2 Performance Measurement Criteria
	3 Literature Review
	4 Comparative Analysis
	5 Conclusions
	References
An Empirical Study of Different Techniques for the Improvement of Quality of Service in Cloud Computing
	1 Introduction
		1.1 Load Balancing
	2 Literature Review
	3 Quality of Service (QoS)
		3.1 QoS Attributes Defined as Follows
		3.2 Service Level Agreement (SLA)
	4 Energy Efficient
		4.1 Energy-Efficient Techniques
		4.2 VM Selection Method
		4.3 VM Migration Method
		4.4 DVFS-Aware Consolidation Methods
		4.5 VM Scheduling Method
	5 Conclusion
	References
Contribution Analysis of Scope of SRGAN in the Medical Field
	1 Introduction
		1.1 About GAN
	2 Related Work
	3 Methodologies
	4 Experimental Work
		4.1 SRCNN Implementation
		4.2 SRGAN Implementation
	5 Conclusion
	6 Future Work
	References
Machination of Human Carpus
	1 Introduction
	2 Related Work
	3 Proposed Methodology
	4 Results
		4.1 Bone Density
	5 Conclusion
	References
Building Machine Learning Application Using Oracle Analytics Cloud
	1 Introduction
	2 Methodology
		2.1 Dataset
		2.2 Data Preprocessing
		2.3 Store in Autonomous Data Warehouse
		2.4 Data Preparation
	3 Model Selection
		3.1 Support Vector Machine
		3.2 Random Forest
		3.3 Neural Network
	4 Data Analysis
		4.1 Model Evaluation
	5 Results and Discussion
	6 Conclusion
	References
An Empirical Analysis of Heart Disease Prediction Using Data Mining Techniques
	1 Introduction
	2 Data Mining
		2.1 Classification
		2.2 Clustering
		2.3 Association
		2.4 Regression
	3 Data Mining Techniques Used for Predicting Heart Diseases
		3.1 Naive Bayes
		3.2 Decision Trees
		3.3 Neural Networks
		3.4 Sequential Minimal Optimization (SMO)
		3.5 IBK
		3.6 AdaBoost
		3.7 J48
	4 Hybrid Intelligent Techniques Used for Prediction  of Heart Diseases
	5 Heart Disease-Related Datasets
	6 Feature Selection from the Dataset
	7 Conclusion
	References
2D Image to Standard Triangle Language (STL) 3D Image Conversion
	1 Introduction
	2 STL File Structure
		2.1 STL-ASCII Format
		2.2 STL Binary Format
	3 STL File Surface Representation
	4 STL Mesh Construction
		4.1 Vertex Clustering
		4.2 Edge Contraction
		4.3 Vertex Decimation
	5 Experimental Process
	6 Conclusion
	References
Improving Recommendation for Video Content Using Hyperparameter Tuning in Sparse Data Environment
	1 Introduction
	2 Related Work
	3 System Overview
		3.1 Methodology
		3.2 Approach
		3.3 Matrix Diagram
		3.4 Baseline Methods
	4 Implementation and Results
		4.1 Datasets
		4.2 Results
	5 Conclusion
	References
Importance and Uses of Telemedicine in Physiotherapeutic Healthcare System: A Scoping Systemic Review
	1 Introduction
		1.1 Discussion
	2 Conclusion
	References
40 Feature Exratction of PTTS System and Its Evaluation by Standard Statistical Method Mean Opinion Score
	Abstract
	1 Introduction
	2 Methodology
		2.1 Test Data
		2.2 Accuracy Test
		2.3 Subjective Evaluation Metrics
	3 Implementation
	4 Results Discussion
		4.1 Overall Performance of the System
		4.2 Subjective Evaluation (Listing Tests MOS)
	5 Conclusion
	Acknowledgements
	References
Computational Analysis of a Human–Robot Working Alliance Trust in Robot-Based Therapy
	1 Introduction
	2 Trust and Human–Robot Working Alliances
	3 Computational Modelling
	4 Simulation Experiments
	5 Evaluation
	6 Conclusion
	References
Novel Intrusion Prevention and Detection Model in Wireless Sensor Network
	1 Introduction
	2 Related Work
	3 Proposed Model
		3.1 FzMAI
		3.2 SVM
	4 Result Analysis
	5 Conclusion
	References
Shadow Detection from Real Images and Removal Using Image Processing
	1 Introduction
	2 Literature Review
	3 Research Methodology
		3.1 Research Subject and Instrumentation
		3.2 Data Collection
		3.3 Data Processing
		3.4 Statistical Analysis
	4 Result Analysis
		4.1 Experiments Results
		4.2 Descriptive Analysis
	5 Conclusion and Future Work
	References
A Study on Pulmonary Image Screening for the Detection of COVID-19 Using Convolutional Neural Networks
	1 Introduction
	2 Terminologies Used
		2.1 Pulmonary Imaging
		2.2 Convolutional Neural Networks
	3 Literature Review
	4 Discussion
	5 Conclusion and Future Work
	References
Analyzing Effects of Temperature, Humidity, and Urban Population in the Initial Outbreak of COVID19 Pandemic in India
	1 Introduction
	2 Duration and Data Repositories
		2.1 Time Frame
		2.2 Epidemiological Data
		2.3 Weather Data
		2.4 Population Data
	3 Data Analysis Techniques
		3.1 Spearman’s Rank Correlation
		3.2 Regression Analysis
	4 Result and Discussion
		4.1 Correlation Between COVID19 Pandemic Cases and Overall Population
		4.2 Correlation Between COVID19 Pandemic Cases and Urban Population
		4.3 Correlation Between COVID19 Pandemic Cases and (Temperature/Humidity) Ratio
	5 Conclusion
	References
FOFS: Firefly Optimization for Feature Selection to Predict Fault-Prone Software Modules
	1 Introduction
		1.1 Motivation
		1.2 Objectives of the Study
		1.3 Contribution
		1.4 Organization
	2 Literature Review
	3 Research Methodology
	4 Analysis of Experimental Results
		4.1 Performance of Proposed FOFS ANN Classifier Over Traditional Classifiers
		4.2 Statistical Analysis of the Experimental Study
	5 Conclusion
	References
Deceptive Reviews Detection in E-Commerce Websites Using Machine Learning
	1 Introduction
	2 Related Work
	3 Methodology
	4 Experimental Results
	5 Conclusion and Future Scope
	References
A Study on Buying Attitude on Facebook in the Digital Transformation Era: A Machine Learning Application
	1 Introduction
	2 Literature Review
	3 Research Methodology
		3.1 Research Method
		3.2 Machine Learning in Multiple Regression
	4 Result
	5 Discussion
	6 Conclusion
	References
Performance Evaluation of Speaker Identification in Language and Emotion Mismatch Conditions on Eastern and North Eastern Low Resource Languages of India
	1 Introduction
	2 About Speech Database
	3 Experimental Setup
		3.1 Experimental Data
		3.2 SID System and Evaluation Metrics
	4 Results and Discussion
	5 Conclusion
	References
Autonomous Wheelchair for Physically Challenged
	1 Introduction
	2 Literature Survey
	3 Methodology
	4 Hardware Description
		4.1 Arduino Uno
		4.2 Adxl-335
		4.3 Ultrasonic Sensor
		4.4 BLDC Driver
		4.5 Hub Wheel Motor
		4.6 Lead-Acid Battery
		4.7 HC-05 Bluetooth Module
	5 Results and Discussions
	6 Advantages and Applications
		6.1 Advantages
		6.2 Applications
	7 Conclusion
	References
Watermarking of Digital Image Based on Complex Number Theory
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Proposed Digital Watermarking Algorithm
		3.2 Algorithm of Digital Watermark
		3.3 Big Modular Arithmetic
	4 Result and Discussion
	5 Comparisons with Existing Methods
	6 Conclusion
	References
A Computer Vision Approach for Automated Cucumber Disease Recognition
	1 Introduction
	2 Literature Review
	3 System Architecture
	4 Research Methodology
		4.1 Approach Followed
		4.2 Description of Cucumber Disease
		4.3 Features
	5 Experimental Evaluation
	6 Conclusion and Future Work
	References
An Automated Visa Prediction Technique for Higher Studies Using Machine Learning in the Context of Bangladesh
	1 Introduction
	2 Related Works
	3 Methodology
		3.1 Dataset Description
		3.2 Classifier Description
		3.3 Confusion Matrix and Classifier Evaluation Metrics
		3.4 Implementation Procedure
	4 Result and Discussion
	5 Comparative Analysis
	6 Conclusions
	References
COVID-19 Safe Guard: A Smart Mobile Application to Address Corona Pandemic
	1 Introduction
	2 Literature Survey
	3 Proposed System
		3.1 Proposed System Modules
	4 Conclusion and Future Work
	References
A Novel Mathematical Model to Represent the Hypothalamic Control on Water Balance
	1 Introduction
	2 Objectives
	3 Motivation
	4 Hypothalamic Water Balance Mathematical Model
	5 Result and Discussion
	6 Conclusion
	7 Future Work
	References
Importance of Deep Learning Models to Perform Segmentation on Medical Imaging Modalities
	1 Introduction
	2 General Description of MI Modalities
		2.1 Radiography/X-Ray
		2.2 Magnetic Resonance Imaging/MRI
		2.3 CT Scan
		2.4 Positron Emission Tomography (PET)
		2.5 Ultrasound
	3 Deep Learning Methods Overview
		3.1 Convolutional Neural Network (CNN)
		3.2 Fully Convolutional Network (FCN)
		3.3 U-Net
		3.4 V-Net
	4 Review of Deep Learning-Based Segmentation Works on Different Medical Imaging Techniques
	5 Discussion
	6 Conclusion and Future Scope
	References
A Multi-component-Based Zero Trust Model to Mitigate the Threats in Internet of Medical Things
	1 Introduction
	2 Internet of Medical Things
		2.1 Need of IoMT
		2.2 Threats in IoMT
	3 Related Work
	4 Proposed Model
		4.1 Sensitive Data Identification
		4.2 Access Limitation
		4.3 Threat Detection
		4.4 Baseline Identification
		4.5 Apply Analytics
	5 Conclusion
	References
A Modified Cuckoo Search for the n-Queens Problem
	1 Introduction
	2 Standard Cuckoo Search
	3 Handling n-Queens Problem
	4 Results
	5 Conclusions
	References
A Survey on Diabetic Retinopathy Detection Using Deep Learning
	1 Introduction
	2 Related Work
	3 Observation on Literature Survey
	4 Techniques
		4.1 Deep Learning
		4.2 Convolutional Neural Network (CNN)
		4.3 K-Nearest Neighbor (KNN)
		4.4 Support Vector Machine (SVM)
	5 Challenges
	6 Conclusion
	References
A Survey on Alzheimer’s Disease Detection and Classification
	1 Introduction
	2 Related Work
		2.1 The Summary of the Literature Survey
	3 Techniques
		3.1 Support Vector Machine
		3.2 Convolutional Neural Network
		3.3 Decision Tree
		3.4 Logistic Regression
	4 Challenges
	5 Conclusion
	References
An Approach for Graph Coloring Problem Using Grouping of Vertices
	1 Outline
	2 Proposed Methodology
	3 Illustration by an Example
	4 Result and Discussion
	5 Conclusion
	References
Role of PID Control Techniques in Process Control System: A Review
	1 Introduction
	2 PID Controller
		2.1 Basics of PID Controller
		2.2 PID Tuning
	3 Process Control System (PCS)
		3.1 BR-M
		3.2 CSTR-M
		3.3 Plug Flow reactor model (PFR-M)
	4 Conclusion
	References
Investigating Cancer Survivability of Juvenile Lymphoma Cancer Patients Using Hard Voting Ensemble Technique
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Naive Bayes
		3.2 Logistic Regression
		3.3 Support Vector Machine (SVM)
		3.4 Voting Classifier
	4 Results and Discussion
		4.1 Results from Support Vector Machine Classifier with Gaussian Kernel
		4.2 Results from Naive Bayes Classifier
		4.3 Results from Logistic Regression Classifier
		4.4 Results from Hard Voting Classifier
		4.5 Comparing the Accuracy Scores of Various Used Classifiers
	5 Conclusion
	References
Author Index