Fuzzy Systems and Data Mining VIII (Frontiers in Artificial Intelligence and Applications, 358)

✍ Scribed by Tallón-Ballesteros, A.J.

• Publisher: IOS Press
• Year: 2022
• Tongue: English
• Leaves: 440
• Category: Library

✦ Synopsis

Fuzzy logic is vital to applications in the electrical, industrial, chemical and engineering realms, as well as in areas of management and environmental issues. Data mining is indispensible in dealing with big data, massive data, and scalable, parallel and distributed algorithms. This book presents papers from FSDM 2022, the 8th International Conference on Fuzzy Systems and Data Mining. The conference, originally scheduled to take place in Xiamen, China, was held fully online from 4 to 7 November 2022, due to ongoing restrictions connected with the COVID-19 pandemic. This year, FSDM received 196 submissions, of which 47 papers were ultimately selected for presentation and publication after a thorough review process, taking into account novelty, and the breadth and depth of research themes falling under the scope of FSDM. This resulted in an acceptance rate of 23.97%. Topics covered include fuzzy theory, algorithms and systems, fuzzy applications, data mining and the interdisciplinary field of fuzzy logic and data mining. Offering an overview of current research and developments in fuzzy logic and data mining, the book will be of interest to all those working in the field of data science.

✦ Table of Contents

Title Page
Preface
About the Conference
Contents
Ontology-Driven Visual Analytics Platform for Semantic Data Mining and Fuzzy Classification
Solving Interval Investment Problem in Vague Environment Using Dynamic Programming Approach
Mining Local Tight Spatial Sub-Prevalent Co-Location Patterns
Improved Attention Mechanism-Based Object Detection Method
Credit Risk Assessment by a Comparison Application of Two Boosting Algorithms
A User Location Prediction Method Based on Similar Living Patterns
Comparison and Combination of Leaky ReLU and ReLU Activation Function and Three Optimizers on Deep CNN for COVID-19 Detection
Community Division Metric Based on Persistent Homology
Forecasting Tax Risk by Machine Learning: Case of Firms in Ho Chi Minh City
Fractional Gradient Descent Learning of Backpropagation Artificial Neural Networks with Conformable Fractional Calculus
Lattice Linear Discriminant Analysis for Shape Constrained Classification
Applied Decision Focused Learning: An End-to-End Decision System for Task Allocation
An Accurate Cardinality Estimation Scheme for Cloned Tags Under the Capture Effect
A New Student Behavior Analysis Method Based on K-Means Algorithm and Consumption Data of Campus Smart Card
On Separation Principle in Dynamic Output Controller Design for One Class of Takagi-Sugeno Fuzzy Systems
Automated Log Analysis and Anomaly Detection Using Machine Learning
Preliminary Test Estimator in a Linear Regression Model
Nowcasting Influenza-Like Illness (ILI) via a Stacking-Based Ensemble Approach
A Limit Theorem for Weighted Sums of Random Sets in Fuzzy Metric Space
Emotion-Enhanced Multi-Modal Persuasive Techniques Detection Using Split Features
Data Visualization and Analysis with Machine Learning for the USA's COVID-19 Prediction
Affective Analysis and Visualization from Posted Text, Replies, and Images for Analysis of Buzz Factors
Accelerate the Convergence Speed of Perceptron Learning Algorithm with Weight
Precipitation Change Pattern Analysis in the US with Image Sequence and Decision Tree Methods
Optimization of Fuzzy System Inference Model on Mini Batch Gradient Descent
Portfolio Selection Optimization with Hierarchical Fuzzy Conditional Value-at-Risk
Implicative Quasi-Semi-Lattices
Consumer Behaviour Towards Mobile Marketing in UAE Restaurants: Application of Technology Acceptance Model
Research on the Impact of Management's Shareholding on Cash Holding Behavior of Manufacturing Companies
Efficiency and Precision Trade-offs in UAV Tracking with Filter Pruning and Dynamic Channel Weighting
Commodity Width Measurement Based on Big Data
On Convergence Theorems for Strong Fuzzy Variational Henstock Integrals
Fuzzy Henstock-Delta-Integral on Time Scales and Its Application
A Preliminary Study on Education and Teaching Based on the Concept of Metaverse-Take "Information Technology" as an Example
Dynamical Properties of a Predator-Prey Discrete Model with Hunting Cooperation Mechanism
Fast Attribute Reduction for Big Datasets Based on Neighborhood Rough Set
Neuro-Fuzzy Employee Ranking System in the Public Sector
Spatial Feature Evolutionary Relationship Discovery Based on Tree Structure Pattern Mining and Spatial Co-Location Pattern Mining in Spatial Cliques
KNN Algorithm and BP Neural Network Model Applied to Network News and Public Opinion Governance System
Invariants for Curves in Equiform Galilean Space
An Overview on the Development and Application of Cognitive Robot
Real-Time Interaction VR Design of Role-Based Autonomous Experiment on ERP
Intrusion Detection System Using PSO and DE Algorithms with BP Neural Network
Feasibility Study and Prospect of Discharge Measurement Based on Satellite Remote Sensing
Operation Dispatching Feature Analysis Based on TELEMAC-2D
Critical Factors Affecting the Concession Pricing for Rural Sewage Treatment PPP Project in China
Classification of Heart Sounds Based on Topological Data Analysis Method
Subject Index
Author Index