Knowledge and Systems Sciences

24th International Symposium, Kss 2025, Kitakyushu, Japan, November 28 - December 1, 2025, Proceedings
Herausgegeben:Tang, Xijin; Xia, Haoxiang; Huynh, Van Nam; Li, Xianneng

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Communications in Computer and Information Science 2731
• Verlag: Springer, Berlin; Springer
• Seitenzahl: 424
• Erscheinungstermin: 21. November 2025
• Englisch
• Abmessung: 235mm x 155mm x 24mm
• Gewicht: 663g
• ISBN-13: 9789819549894
• ISBN-10: 9819549892
• Artikelnr.: 75835691

Inhaltsangabe

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.