Database and Expert Systems Applications
Description
The two-volume set LNCS 16046-16047 constitutes the proceedings of the 36th International Conference on Database and Expert Systems Applications, DEXA 2025, held in Bangkok, Thailand, in August 25-27, 2025.
The 35 full and 22 short papers presented in this set together with 3 invited talks were carefully reviewed and selected from 123 submissions. They were organized in topical sections as follows:
Part I: Industrial Keynote; Invited Talks; Large Language Models; Data Quality; Machine Learning /Artificial Intelligence Applications; Classification Techniques.
Part II: Image Processing, Analytics, and Vision Systems; Recommender Techniques; Data Integration; Optimisation Methods; Graph Applications; Analytics; Security/Privacy; Benchmarks and Surveys.
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Content
.- Industrial Keynote.
.- From Data Silos to Data Mesh: A Case Study in Financial Data Architecture.
.- Invited Talk.
.- Blending Contextual Data with Heterogeneous Time Dimensions for Improved Time Series Analysis.
.- A Hybrid Data Model to Support Transportation Analytics of Emergency Service Vehicles.
.- Large Language Models.
.- Automated Archival Descriptions with Federated Intelligence of LLMs.
.- Entropy-Guided Probing for Predicting LLM Hallucinations with Knowledge Graph Features.
.- Towards Automating RDF Extraction for Archaeological Knowledge Graphs with LLMs.
.- Ontology-Based Forest Fire Management using Complex Event Processing and Large Language Models.
.- Table Annotation Utilizing Large Language Model and Knowledge Graph.
.- Improving Software Security Through a LLM-Based Vulnerability Detection Model.
.- SysResolve: Study on In-Context LLM Generation of Resolution Scripts.
.- Data Quality.
.- A Novel Unsupervised Anomaly Detection Method Based on TCN-LSTM-CMA Autoencoder.
.- Behaviour modelling and Wayfinding Error Detection in Low Mountain Hiking.
.- Explainable Time Series Anomaly Detection by Dynamic Mode Decomposition.
.- Exploring Quantum Bootstrap Sampling for AQP Error Assessment: A Pilot Study.
.- AI-Driven Semantic Data Quality Assessment and Scoring for Relational Databases.
.- Network Anomaly Detection Using Gramian Angular Field Transformation and Vision Transformer.
.- Machine Learning /Artificial Intelligence Applications.
.- Identifying Multimodal Sarcasm Based on Incongruous Knowledge Capturing and Contrastive Learning.
.- Ensemble ToT and Its Application to Automatic Grading.
.- Improving Prompt-based Learning Framework for Mental Health Aspect Detection from Social Media.
.- DInos: A Deep Reinforcement Learning Approach to Generalizable Autoscaling in Stateless Cloud Applications.
.- Influential Slot and Tag Selection in Billboard Advertisement.
.- Speech-scenario Generation based on the Philosophy of Prominent Leader within the Small Community.
.- VarCGAN: Variational Cyclic Generative Adversarial Network for Music Genre Style Transfer.
.- Innovative Framework for Early Estimation of Mental Disorder Scores to Enable Timely Interventions.
.- A Hybrid Approach to estimating AI Carbon Emissions.
.- Optimal Information Retrieval System in E-Learning Using Optimization-Driven Bidirectional Long Short-Term Memory.
.- A Data Product Classification by Technical and Machine Learning Aspects.
.- Classification Techniques.
.- Discovering Voting Power for Ensemble Methods.
.- Classifying Public and Private Documents Using Context-Based Predictions.