Innovations in Data Analytics : Selected Papers of ICIDA 2022 / edited by Abhishek Bhattacharya, Soumi Dutta, Paramartha Dutta, Vincenzo Piuri.

Format:

Book

Author/Creator:

Bhattacharya, Abhishek.

Contributor:

Dutta, Soumi.

Dutta, Paramartha.

Piuri, Vincenzo.

Series:

Advances in Intelligent Systems and Computing, 2194-5365 ; 1442

Language:

English

Subjects (All):

Computational intelligence.

Quantitative research.

Image processing--Digital techniques.

Image processing.

Computer vision.

Data protection.

Telecommunication.

Computational Intelligence.

Data Analysis and Big Data.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Data and Information Security.

Communications Engineering, Networks.

Local Subjects:

Computational Intelligence.

Data Analysis and Big Data.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Data and Information Security.

Communications Engineering, Networks.

Physical Description:

1 online resource (633 pages)

Edition:

1st ed. 2023.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2023.

Summary:

This book features research papers presented at the 1st International Conference on Innovations in Data Analytics (ICIDA 2022), held at Eminent College of Management and Technology (ECMT), West Bengal, India, during November 29–30, 2022. The book presents original research work in the areas of computational intelligence, advance computing, network security and telecommunication, data science and data analytics, and pattern recognition. The book is beneficial for readers from both academia and industry. .

Contents:

Intro

Foreword

Preface

Contents

About the Editors

Computational Intelligence

Transience in COVID Patients with Comorbidity Issues-A Systematic Review and Meta-Analysis Based on Indian and Southeast Asian Context

1 Introduction

1.1 Risk of COVID Patients with Comorbidity Issues

2 COVID Patient Statistics with Comorbidity Issues

3 Research Methodology

3.1 Search Strategy

4 Related Literature Survey in This Area

5 Discussion

6 Conclusion and Future Scope

References

NFT HUB-The Decentralized Non-Fungible Token Market Place

1.1 Non-Fungible Token

1.2 Blockchain

2 Literature Survey

3 Proposed System

3.1 Blockchain

3.2 Ethereum Blockchain

3.3 Properties of Blockchain

3.4 Generic Elements of the Blockchain

3.5 Secure Hash Algorithm

4 Results and Discussion

4.1 Deployment Confirmation

4.2 Metamask Wallet

4.3 Minting Page

4.4 Transaction Address

4.5 Dashboard

5 Conclusion

5.1 Future Scope of the Project

Hashgraph: A Decentralized Security Approach Based on Blockchain with NFT Transactions

1.1 Optimized Blockchain Server

2.1 Survey Report: On Token Service

2.2 Survey Report: On Main-Net Access

2.3 Survey Report: Remove Centralized Control: Hala Systems

3.1 Non-Fungible Transaction

3.2 Blockchain Methodology

3.3 Gossip Protocol

3.4 Hashgraph

3.5 Consensus Algorithm [In Gossip Protocol]

3.6 HCS Implementation

4 Performance Evaluation

4.1 Transaction Cost Denomination of Our Network

4.2 Transaction Cost of Network on Blockchain NFT

5 Result and Discussion

6 Conclusion

Med Card: An Innovative Way to Keep Your Medical Records Handy and Safe

1.1 What is Blockchain?.

1.2 What is Machine Learning?

2 Literature Review

3 Technologies Used

3.1 Blockchain in Health Care

3.2 Machine Learning in Health Care

4 Proposed Idea

4.1 What is a Med Card?

4.2 Workflow

5 Conclusion and Future Scope

Delta Operator-Based Modelling and Control of High Power Induction Motor Using Novel Chaotic Gorilla Troop Optimizer

2 Formulation of the Problem

3 New Chaotic Gorilla Troop Optimizer

4 Simulation Ouput and Their Analysis

5 Conclusions

An Enhanced Optimize Outlier Detection Using Different Machine Learning Classifier

2 Outlier Detection

3 Literature Review

4 Proposed Methodology

5 Simulation Result

Prediction of Disease Diagnosis for Smart Healthcare Systems Using Machine Learning Algorithm

2 Heart Disease

3 Diabetes Mellitus

5 Simulation Results

Optimization Accuracy on an Intelligent Approach to Detect Fake News on Twitter Using LSTM Neural Network

2 Road Map of Methodology

2.1 Data Collection and Filtration

2.2 Pre-processing

2.3 Feature Extraction

2.4 Feature Selection

2.5 Classification

3 Proposed Methodology

4 Simulation Results

Advance Computing

Mining User Interest Using Bayesian-PMF and Markov Chain Monte Carlo for Personalised Recommendation Systems

2 Related Work and Background

3 Experimental Methodology

3.1 Probabilistic Matrix Factorization (PMF)

3.2 Bayesian-PMF with MCMC

3.3 Sparsity Reduction

3.4 Performance Measure

4 Proposed Architecture

5 Experimental Outcomes and Investigation

5.1 Dataset Description

6 Conclusion and Future Work

References.

Big Data and Its Role in Cybersecurity

2 Security Using Big Data

2.1 Use of Big Data Analytic (BDA) as Defense Tool

2.2 Cybersecurity and Machine Learning

3 Cybersecurity Approaches in Big Data

4 Research Trends and Challenges

4.1 Use of Big Data in Defense

4.2 Laws Regulating to Big Data

4.3 Distribution of Data for Storage

4.4 Security Technique Scalability in the Big Data

QR Code-Based Digital Payment System Using Visual Cryptography

3 Methodology

4 Implementation

4.1 Encryption

4.2 AES Algorithm

4.3 Decryption

5 Result

A Study of Different Approaches of Offloading for Mobile Cloud Computing

2 Research Method

3 Offloading for Mobile Cloud Computing

4 Applications Suitable for Offloading in MCC

5 Different Offloading Approaches

Use of Machine Learning Models for Analyzing the Accuracy of Predicting the Cancerous Diseases

2 Related Work

3 Machine Learning Models

3.1 Logistic Regression

3.2 Decision Tree

3.3 Random Forest Classifier

4 Experiment

4.1 Experiment Environment

4.2 Breast Cancer Dataset

5 Experimental Results

Predict Employee Promotion Using Supervised Classification Approaches

2 Related Works

3 Implementation

3.1 Proposed Model

3.2 Data Collection

3.3 Data Analysis

3.4 Engineered Functions

3.5 Train-Test-Split

3.6 Model Building

Smart Grid Analytics-Analyzing and Identifying Power Distribution Losses with the Help of Efficient Data Regression Algorithms

3 Proposed Work

4 Results.

5 Conclusion

Load Balancing on Cloud Using Genetic Algorithms

4 Results

5 Conclusions and Future Work

Network Security and Telecommunication

Hybrid Feature Selection Approach to Classify IoT Network Traffic for Intrusion Detection System

3 Research Gaps

4 Proposed Work

4.1 Proposed Methodology

5.2 System Configuration

5.3 Model Parameters

5.4 Performance Parameters

A Deep Learning-Based Framework for Analyzing Stress Factors Among Working Women

3 Stress Factors (Stressors)

3.1 Deep Learning: Background

3.2 Deep Learning-Based Framework for Early Stress Detection

Automatic Question Generation

4 Methodology

Automatic Construction of Named Entity Corpus for Adverse Drug Reaction Prediction

2.1 Biomedical Named Entity Recognition

2.2 Datasets for Biomedical Entity Recognition

3.1 ADR Corpus Overview

3.2 Corpus Construction Steps

4.1 Contributions

4.2 Statistics

A Space Efficient Metadata Structure for Ranking Subset Sums

1.1 Problem Formulation

1.2 Past Work

1.3 Our Contribution

2 Outline of Our Technique

3 Generation of Top-kk Subsets

3.1 The Metadata Structure upper GG

3.2 Construction of Metadata Structure upper GG

3.3 Query Answering with Heap

3.4 Modified Metadata Structure upper GG

3.5 The Final Structure of upper GG.

3.6 Generation of Top-kk Subsets by upper GG on Demand

3.7 Getting Rid of the Bit String

4 Experimental Results

4.1 Analysis of the Results

Brain Tumour Detection Using Machine Learning

3 Methodology and Materials

Implementation of a Smart Patient Health Tracking and Monitoring System Based on IoT and Wireless Technology

1 Overview

2 Block Diagram

3 Methodology and Results

3.1 Database Tracking and Maintenance

4 Conclusion and Future Scope

Diabetes Disease Prediction Using KNN

2.1 How is Data Science Revolutionizing the Healthcare Industry?

2.2 Role of Data Science in Health Care

2.3 Diabetes Detection Using Data Science

2.4 Flow of the Methodology Used for Diabetes Detection

4.1 Experimental Results

4.2 Visualization of Obtained Results

6 Future Scope

Review: Application of Internet of Things (IoT) for Vehicle Simulation System

2 Application

3 Basic Concepts of IoT

4 Simulation Concept

5 Simulation-Based Internet of Things

6 Application of Simulated IoT for System Used in Vehicle

7 Car Simulation Structure and Principle

8 Embedding Security Features in a Vehicle Using IoT

9 Conclusion and Future Scope

Data Science and Data Analytics

Time Series Analysis and Forecast Accuracy Comparison of Models Using RMSE-Artificial Neural Networks

2 Related Research

3 Neural Networks Models in Time Series

3.1 Feed-Forward Neural Network Model

3.2 Time-Lagged Neural Networks

3.3 Seasonal Artificial Neural Networks

3.4 Long Short-Term Memory (LSTM).

4 Time Series Analysis.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Bhattacharya, Abhishek Innovations in Data Analytics

ISBN:

981-9905-50-8

OCLC:

1381097530