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Full Description
This LNCS conference volume constitutes the proceedings of 29th International Symposium on Database Engineered Applications, IDEAS 2025, in Newcastle upon Tyne, UK, in July 2025.
The 13 full papers and 6 short papers included in this book were carefully reviewed and selected from 30 submissions. They were organized in topical sections as follows: language and models; classification; distributed systems; query answering and education; and data mining.
Contents
Language and Models.- Generative Adversarial Networks Reveal Relationship of the Carian, Elder Futhark, Old Hungarian and Orkhon Scripts.- EHSAN: Leveraging ChatGPT in a Hybrid Framework for Arabic Aspect-Based Sentiment Analysis in Healthcare.- Automated Glyph Feature Detection Using Convolutional Neural Networks.- A Vision for Robust and Human-Centric LLM-Based QR Code Security.- Classification.- Exploring Classification with Spectral Transformation.- Optimizing Classification Accuracy with Simulated Annealing in k-Anonymity.- Predicting Gelation in Copolymers Using Deep Learning through a Comparative Study of ANN, CNN, and LSTM Models with SHAP Explainability.- A Total Variation Regularized Framework for Epilepsy-Related MRI Image Segmentation.- Enhancing Flight Delay Prediction with Network-Aware Ensemble Learning.- Distributed Systems.- FedMod: Vertical Federated Learning Using Multi-Server Secret Sharing.- Throughput-Driven Database Replication Using a Ring-Based Order Protocol.- Blockchain-Backed Fuzzy Search for Semi-Structured Translation Data: A Scalable Hybrid Approach with Hyperledger Fabric and Elasticsearch.- Query Answering and Education.- Towards Sustainable DBMS: A Framework for Real-Time Energy Estimation and Query Categorization.- Context-Aware Visualization for Explainable AI Recommendations in Social Media: A Vision for User-Aligned Explanations.- Transparent Adaptive Learning via Data-Centric Multimodal Explainable AI.- Analyzing Student Feedback to Assess NoSQL Education.- Data Mining.- Data Mining for Language Superfamilies Using Congruent Sound Groups.- Computational Decipherment and Cross-Linguistic Analysis of Linear.- Automated Identification of Allographs among the Indus Valley Script Signs.
