Overview

This book constitutes the refereed proceedings of the 24th International Symposium on Knowledge and Systems Sciences, KSS 2025, held in Kitakyushu, Japan, during November 28 – December 1, 2025. The 29 full papers presented in this book were carefully reviewed and selected from 74 submissions.

Full Product Details

Author:   Xijin Tang ,  Haoxiang Xia ,  Van Nam Huynh ,  Xianneng Li
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
ISBN:  

9789819549894

ISBN 10:   9819549892
Pages:   424
Publication Date:   21 November 2025
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available  
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Table of Contents

Knowledge Management. .- Semantic Description Framework of Institutional Authority File based on Knowledge Organization System. .- Computing XAI User’S Revealed Preferences: An argumentation-based Approach. .- Epidemic Scenario Construction for Major Epidemics in Communities: Driven by Hazard-Affected Body Dynamics.  .- Resource Expectation, Collaborative Behavioral Patterns and Human-Bot Collaborative Relationships: A Social Exchange Perspective on Online Knowledge Communities. .- Developing Cross-Regional Expert Agents through Domain Knowledge Integration in the Guangdong-Hong Kong-Macao Greater Bay Area.  .- A Knowledge Graph Framework for Purpose-Driven Privacy Policy Compliance Auditing. Machine Learning and Knowledge Engineering. .- HeritageTransNet: A Hybrid CNN-Transformer Framework for Automated Digital Restoration of Ancient Chinese Caihua.  .- GAT-ADASYN: A Graph Attention–Guided Adaptive Oversampling Method. .- LLMTest: Combining Symbolic Execution and LLM Capabilities for Commutativity Test of Reduce Functions.  .- BBOD-CAD: Bounding Box Reconstruction and Cross-Block Boundary Fusion Method. .- A Stacking-Based Machine Learning Approach for Early Gastric Cancer Subtype Prediction. .- Design of an SiC All-MOSFET Voltage Reference Using Neural Network Modeling. .- Hard Disk Failure Prediction Based on Improved Generative Adversarial Network. .- Combination of Deep Reinforcement Learning and Supervised Learning Method for Credit Card Fraud Detection. Knowledge Discovery for Social Systems. .- Research on Mining Citizen Major Concerns and Government Response Characteristics Based on Large Language Models: A Case Study of the “Leaders’ Message Board” Online Political Inquiry Platform on People’s Daily Online. .- Systematic Measurement of Carbon Emissions and Influencing Factors Decomposition for China’s Tourism Industry: A New Measurement System and Decomposition Framework. .- Multimodal Fake News Detection Method Based on Multi-granularity Feature Collaborative Learning.  .- Research on Risk Assessment of Energy Saving Renovation Projects in Hotel Buildings under EMC Mode. .- Unveiling Electric Vehicle Traffic Accident Risks: A Data-Driven Analysis of Accident Severity and Key Influencing Factors. .- Beyond Matrix Factorization: Deep Neural Network Embeddings for Hotel Recommendation. .- Exploring Taxi Trip Characteristics Connecting to Public Transit Stations using GPS Big Data: A Case Study of Bangkok. .- Semantic Model-Based System Engineering Supporting Mission Engineering Modeling. .- Intelligent Path Planning for Off-Road Navigation: A Q-Learning Approach with Terrain and Distance Optimization. .- Multimodal Fake News Detection based on Crossmodal Attention and Contrastive Learning. Dynamics on Complex Social Systems. .- An Agent-Based Simulation Framework for Misinformation Susceptibility Test with LLMs: Insights from Psychological Factors. .- Exploiting Evolutionary Strategies to Prevail in Iterated Prisoner’s Dilemma Games. .- Dynamic Evolution Analysis of Network Public Opinion in Emergencies from the Perspective of Information Ecology. .- Multi-Factor Coupling Risk Assessment of Water Distribution Networks Integrating the N-K Model and Random Forest. .- Beyond the Face: Enhancing Interview Decision Prediction by Fusing Personality Traits with Facial Features.

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