Database and Expert Systems Applications (eBook, PDF)

36th International Conference, DEXA 2025, Bangkok, Thailand, August 25-27, 2025, Proceedings, Part I
Redaktion: Wrembel, Robert; Khalil, Ismail; Tjoa, A Min; Kotsis, Gabriele

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 383
• Erscheinungstermin: 20. August 2025
• Englisch
• ISBN-13: 9783032020499
• Artikelnr.: 75251508

Inhaltsangabe

.- 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.