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.
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.
