Knowledge Discovery, Knowledge Engineering and Knowledge Management
Description
This book constitutes the refereed post proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2024, held in Porto, Portugal during November 17-19, 2024.
The 12 full papers and 5 short papers included in this book were carefully reviewed and selected from 175 submissions. They were organized in topical sections as follows: knowledge discovery and information retrieval; knowledge engineering and ontology development and knowledge management and information systems.
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Content
.- Knowledge Discovery and Information Retrieval .
.- Identification of Sex-Specific Gene Signatures for Atopic Dermatitis Using Machine Learning Models.
.- Subset Pretraining for Enhancing Neural Network Training Efficiency.
.- Enhancing Text Embeddings for Emotion Detection: A Study on Dimensionality Reduction and Lexicon Filtering.
.- Knowledge Graph Mining-Based Personalized Learning Path Recommendation for English Learning: Leveraging Adaptive Techniques for Improved Outcomes.
.- Enhanced Prediction of Post-Myocardial Infarction Complications:Dual-Modality Analysis with Optimized Flow Cytometry Preprocessing and Feature Visualization.
.- A Generative Framework for Web Pages Classification Using Multi-Modal Topic Fusion.
.- A Systematic Literature Review on LLM-Based Content Classification.
.- Enhanced Document and Database Integration for Advanced Question-Answering in Enterprise Contract Management with LLMs and Agents.
.- Knowledge Engineering and Ontology Development .
.- Enhancing Bilateral International Trade Flow Analysis with Knowledge Graph Embeddings.
.- Knowledge Management and Information Systems .
.- Semantic Support in Standardized Environments.
.- From Lessons Learned to Project Triumph: Unveiling the Enablers and Barriers in Construction.
.- How Does Automation Impact Healthcare Operations? A Model to Describe the Impact of Robotic Process Automation and AI-Enhanced Intelligent Automation in Healthcare.
.- Uncertainty Analysis in Socio-Economic Dynamic Microsimulation Models: A Literature Review.
.- Utilizing ER Model Extraction for an Industry Data Validation Use Case.
.- Design and Validation of a Digital Mindset Model: A Combination of Organizational Culture Theory and Design Science.
.- Artificial Intelligence for Improving Drivers' Emotional Intelligence: An Innovative Approach for Safer Roads.
.- Systemic View on Creating Knowledge Maps: Putting the Pieces Together.
