Information Visualization for Intelligent Systems

Premanand Singh Chauhan, Rajesh Arya, Rajesh Kumar Chakrawarti, Elammaran Jayamani, Neelam Sharma, Romil Rawat

• Publisher: Wiley-Scrivener
• Year: 2025
• Print ISBN: 9781394305780
• eBook ISBN: 9781394305803
• Edition: 1
• Topic: Computer Science
• Subtopic: Data Visualisation
• Index: Computer Science

Information Visualization for Intelligent Systems provides readers with essential insights into cutting-edge advancements in machine intelligence and explores how these transformative technologies are revolutionizing data analysis and decision-making in an increasingly complex world.

The book explores advanced computing, or machine intelligence, which enables technology—machines, devices, or algorithms—to interact intelligently with their surroundings, make decisions, and take actions to achieve objectives. Unlike natural human intelligence, artificial intelligence (AI) is demonstrated by machines.

Modern advancements in high-speed computing drive paradigm shifts, enabling complex machine intelligence systems and novel cyber systems that utilize data to perform specific tasks. While standalone cyber systems are common, integrating multiple systems into cohesive, intelligent structures interacting deeply with physical systems remains underexplored and primarily philosophical in existing literature.

These technological breakthroughs have revolutionized data generation, cloud storage, global information exchange, and rapid computing. For example, machine intelligence models analyze video surveillance to identify threats, support early infection detection in healthcare, and enhance chemical industry processes. While promising, these advancements remain in their infancy, offering significant potential for further development.

Table of contents

• Cover
• Series Page
• Title Page
• Copyright Page
• Contents
• Preface
• Chapter 1 Analysis of Restaurant Reviews Using Novel Hybrid Approach Algorithm Over Convolutional Neural Network Algorithm with Improved Accuracy
• Chapter 2 Forecasting of Product Demand Using Hybrid Regression Model in Comparison with Autoregressive Integrated Moving Average Model
• Chapter 3 Identification of Stress in IT Employees by Image Processing Using Novel KNN Algorithm in Comparison of Accuracy with SVM
• Chapter 4 Observing the Accuracy of Breast Cancer Using Support Vector Machine with Digital Mammogram Data in Comparison with Naive Bayes
• Chapter 5 Analyzing and Improving the Efficiency of Winning Prediction in Chess Game Using AlexNet Classifier in Comparison with Support Vector Machine for Improved Accuracy
• Chapter 6 Accurate Prediction of Vehicle Number Plate Segmentation and Classification with Inception Compared over Alexnet
• Chapter 7 A Novel Method to Analyze a Server Instance’s Performance During a Crypto-Jacking Attack Using Novel Random Forest Algorithm Compared with Logistic Regression
• Chapter 8 A Comparative Analysis of Twin Segmentation and Classification Over MultiClass SVM and Innovative CNN: An Innovative Approach
• Chapter 9 Prediction of Yields in Semiconductor Using XGBoost Classifier in Comparison with Random Forest Classifier
• Chapter 10 A Robust Medical Image Watermarking Scheme with a Better Peak Signal-to-Noise Ratio Based on a Novel Modified Embedding Algorithm and Spatial Domain Algorithm
• Chapter 11 BER Comparison of BPSK-DCO-OFDM and OOK-DCO-OFDM in Visible Light Communication
• Chapter 12 Improved Accuracy in Blockchain-Based Smart Vehicle Transportation System Using KNN in Comparison with SVM
• Chapter 13 Improvement in Accuracy of Red Blood Cells (RBC), White Blood Cells (WBC), and Platelets Detection Using Artificial Neural Network and Comparison with Hybrid Convolution Neural Network
• Chapter 14 Novel Design of Meta Ring Array Antenna Using FR4 for Biomedical Applications
• Chapter 15 Review: Recommendation System in Tourism and Hospitality Based on Comparison of Different Algorithms
• Chapter 16 Secure and Reliable Routing for Hybrid Network to Support Disaster Recovery and Management
• Chapter 17 Machine Learning Techniques for Sentimental Analysis
• Chapter 18 Design of 40-mm Period, 0.8-Tesla Variable-Gap Pure Permanent Magnet Undulator Magnet in RADIA
• Chapter 19 Predicting Academic Performance of Students: An ANN Approach
• Chapter 20 A Deep Study on Discriminative Supervised Learning Approach
• Chapter 21 AI Medical Assistant Machine Learning Techniques
• Chapter 22 Early Schizophrenia Prediction Using Wearable Devices and Machine Learning
• Chapter 23 Forecasting the Trends in Stock Market Employing Optimally Tuned Higher Order SVM and Swarm Intelligence
• Chapter 24 Social Media Text Classification Analysis and Influence of Feature Selection Methods on Classification Performance
• Chapter 25 4G Versus 5G Communication Using Machine Learning Techniques
• Chapter 26 Design and Development of Programmable and UV-Based Automated Disinfection for Sanitization of Package Surfaces
• Chapter 27 Fuzzy-Based Segmentations Performance Analysis for Breast Tumor Detection Using Spatial Fuzzy C-Means Filtering with Preconditions (SFCM-P) Over Bilateral Fuzzy K-Mean Clustering Algorithm (BiFKC)
• Chapter 28 Analysis of Vehicle Accident Prediction Using GoogleNet Classifier Compared with AlexNet Algorithm to Enhance Accuracy
• Chapter 29 Maximizing the Accuracy of Fake Indian Currency Prediction Using Particle Swarm Optimization Classifier in Comparison with Lasso Regression
• Chapter 30 Convolutional Neural Network Algorithm for Proliferative Diabetic Retinopathy Detection and Comparison with GoogleNet Algorithm to Improve Accuracy
• Chapter 31 Conversational AI – Security Aspects for Modern Business Applications
• Chapter 32 Literature Review Analysis for Cyberattacks at Management Applications and Industrial Control Systems
• Chapter 33 Fractal Natural Language Semantics and Fractal Machine Learning Engineering: Cultural Heritage Generative Management Systems
• About the Editors
• Also of Interest
• EULA
• Index