GDMA, BDMS, and DI, Jeju, South Korea, April 27, 2026, Proceedings
Buch, Englisch, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-981-9255-47-4
Verlag: Springer
This volume constitutes the proceedings of the 31st International Conference on Database Systems for Advanced Applications, DASFAA 2026, held in Jeju, South Korea, during April 27, 2026.
The 24 full papers presented in this book were carefully reviewed and selected from multiple submissions.They cover topics such as: GDMA; BDMS and Appendix: DI.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
- Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
Weitere Infos & Material
.- GDMA.
.- A Chain-of-Thought–Driven Approach to Named Entity Recognition in Rail Transit.
.- Temporal Knowledge Graph Reasoning Enhanced by Large Language Models.
.- AimRAG: Retrieval-Augmented Generation with Hybrid Knowledge Graphs.
.- BDMS.
.- Towards Balancing Diversity and Coverage in Spatial Crowdsourcing Task Recommendation.
.- A Novel Method for Detecting Osteoporosis in Bones Utilising the Optimized Bidirectional LSTM Method.
.- MoS: A Model-Aware Graph Sparsification Method for Efficient Graph Neural Networks.
.- VisLongBench: Benchmarking Large Multimodal Models on Visually-Dense and Long Document Understanding.
.- Content-Grounded Semantic Identifier Construction for Surveillance Video Indexing.
.- Appendix: DI.
.- LMSC: Local Sketch Modularity Optimisation for Size-Constrained Community Search in Networks.
.- Adaptive Spike Neural Networks for NLI Tasks with Dynamic Spike Predictor.
.- PULSE: Socially-Aware User Representation Modeling Toward Parameter-Efficient Graph Collaborative Filtering.
.- How Sharp and Bias-Robust is a Model? Dual Evaluation Perspectives on Knowledge Graph Completion.
.- FEATHer: Fourier-E cient Adaptive Temporal Hierarchy Forecaster for Time-Series Forecasting.
.- MELON: Learning Multi-Aspect Modality Preferences for Accurate Multimedia Recommendation.
.- It’s Time to Get It Right: Improving Analog Clock Reading and Clock-Hand Spatial Reasoning in Vision-Language Models.
.- Translytical Processing via DB-OS Co-designed Buffer: Cross-Engine Isolation and Tunable Update Visibility for HTAP.
.- Counting Is All You Need for Instant Tuple Discovery: Enabling Real-Time HTAP in Standalone DBMSs.
.- Practical Graph Data Analytics with TurboLynx.
.- Multi-view-guided Passage Reranking with Large Language Models.
.- LLM-Enhanced Linear Autoencoders for Recommendation.
.- Improving the Accuracy of Community Detection on Signed Networks via Community Refinement and Con-trastive Learning.
.- HVMamba: A Hybrid Vision Mamba with Axis-Aware Scanning and Scheduled Attention.
.- Directed Hypergraphlets: New Concepts, Fast Algorithms, and Applications.
.- Benchmarking Automatic Graph Modeling for Relational Databases.
