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Full Description
This six-volume set LNCS 15986-15991 constitutes the proceedings of the 30th International Conference on Database Systems for Advanced Applications, DASFAA 2025, held in Singapore, during May 26-29, 2025.
The 136 full papers presented in this book together with 89 short papers were carefully reviewed and selected from 731 submissions.They cover topics such as
Part I- Machine Learning and Text.
Part II- Emerging Application; NLP and Spatial-Temporal.
Part V- Recommendation and Security & Privacy.
Part VI- Language Model; Industry Papers and Demo Papers.
Contents
.- Machine Learning.
.- Less is More: Efficient Weight "Farcasting" with 1-Layer Neural Network.
.- FlexPie: Accelerate Distributed Inference on Edge Devices with Flexible Combinatorial Optimization.
.- UFMKSC: A Uniform Framework for Multiple Kernel Spectral Clustering Using a Noise-Free Laplacian Matrix.
.- LODC: A Lightweight Online Update Method for Density-Based Clustering.
.- JurisNexus: Enhancing Legal Judgment Prediction via Cross-Reasoning-Chain Representation Learning Mechanism.
.- Bridging the Gap between Sparse Matrix Reordering and Factorization: A Deep Learning Framework for Fill-in Reduction.
.- HESM: A Hyperedge Embedding-Based Subhypergraph Matching Method.
.- DySA-TGN: Dynamic Self-Adaptive Temporal Graph Neural Network for Multivariate Time Series Classification.
.- STPformer: Mutation-Aware Spatial-Temporal Pivotal Attention Networks for Transformer-based Traffic Forecasting.
.- Making Local Models Learn Autonomously With Global Feature Tracking and Client Drift Releasing for Federated Learning.
.- Gaussian Regularization in Neural Graph Learning.
.- Subset Discovery for Entity Matching.
.- Facial Features Enhanced Multi-Branch Graph Network for Driver Drowsiness Detection.
.- CF-TS: A General Coarse-to-Fine Method for Trajectory Simplification.
.- ExBoost: Out-of-Box Co-Optimization of Machine Learning and Join Queries.
.- MAPN: Enhancing Heterogeneous Sparse Graph Representation by Mamba-based Asynchronous Aggregation.
.- Knowledge Hierarchy Guided Biological-Medical Dataset Distillation for Domain LLM Training.
.- Anticipating Retractions in Scientific Databases using LLM-Based Citation Analysis.
.- Personalized Federated Multi-Center Medical Data Analysis with Local and Global Uncertainty.
.- Data-Driven Regional Weather Forecasting Guided by Global Context.
.- Instance-Aware Test-Time Adaptation for Domain Generalization.
.- FLeW: Facet-Level and Adaptive Weighted Representation Learning of Scientific Documents.
.- Mitigating Linguistic Bias between Malay and Indonesian Languages using Masked Language Models.
.- ROME: Memorization Insights from Text, Logits and Representation.
.- FairDP-GNN: Graph Neural Network with Group Fairness and Differential Privacy.
.- Accelerating DeepWalk via Context-Level Parameter Update and Huffman Tree Pruning.
.- MASS: Mitigating Aspect-oriented Semantic Sparsity for Fine-grained Sentiment Analysis.
.- Predicting Enterprise Users' Consuming Potential for Cloud Services.
.- rFedKD: A Reverse Federated Knowledge Distillation Method for Communication Efficiency.
.- Private Multi-Party Neural Network Training over Z2k via Galois Rings.
.- Text
.- Enhancing Chinese Multimodal Entity Linking with CLIP-RoBERTa and Contrastive Learning.
.- Sentence Extraction Framework with High Relevance and Divergence for Document Summarization.
.- Enhancing Chain-of-Thought Reasoning for Text-to-SQL with Effective Retrieval-Augmented Generation.
.- Unlocking Multimodal Potential for Few-Shot Semantic Segmentation with Vision-Enriched Text.
.- AMR-GCC:Two-step Cross-Document Event Factuality Identification on Data Augmentation.
.- NanoCSV: Enabling Efficient Parallel CSV Extraction with Hierarchical Finite-State Transducer.
