Database Systems for Advanced Applications: 30th International Conference, DASFAA 2025, Singapore, Singapore, May 26–29, 2025, Proceedings, Part II(15987 Lecture Notes in Computer Science)

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.

Table of Contents:
.- Emerging Application. .- UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction. .- MSAQE: A Large-scale Dataset for Multi-view Scenic Areas Quality Evaluation. .- Experts2team: Task Relevance-Induced Team Formation by Combining Global Cohesion with Local Decoupling. .- From Static to Dynamic: GNNs-Driven Clinical Decision-Making Assistance. .- RasterPIP: Answering Point-in-polygon Query with GPU-native Transformation and Rasterization. .- A Universal Framework for Compressing Embeddings in CTR Prediction. .- Fairness-Aware Ride-sharing Assignment. .- RADIO: Effective and Efficient Anomalous Subgraph Discovery in Financial Networks. .- Design and Implementation of Decentralized Data Protection Protocol for Generative AI. .- Enhancing Protein-Ligand Binding Affinity Prediction via Parameter-Efficient Fine-Tuning of Protein and Chemical Language Models. .- MVIC: Multi-View Information Collaborative Fusion for Drug-Drug Interaction Prediction. .- Killing two birds with one stone: A Spatio-Temporal Prompt for the Inductive Traffic Extrapolation. .- NLP .- PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-consistency. .- Enhancing Zero-shot Emotion Perception in Conversation through the Internal-to-External Chain-of Thought. .- Enhancing Multi-turn Dialogue Consistency with Localized-Generalized Persona Expansion. .- Breaking Size Barrier: Enhancing Reasoning for Large-size Table Question Answering. .- A Structure-aware Generative Model for Biomedical Event Extraction. .- Asking Diversified Reasonable Questions with External Commonsense Knowledge to Infer Inconsistency for Multi-modal Clickbait Detection. .- Multi-View Attention Syntactic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis. .- GoT-R: Enhancing Large Language Models for Complex Question Answering with Graph-of-Thought Guided Reasoning. .- From Memorization to Discovery: A Novel Benchmark for Relational Triple Extraction. .- T3SVFND: Towards an Evolving Fake News Detector for Emergencies with Test-time Training on Short Video Platforms. .- DlGR-KB: Dual-level Graph Reasoning with Key Block Decoupling for Multi-Party Dialogue Reading Comprehension. .- Semi-supervised Anomaly Detection with Extremely Limited Labels in Dynamic Graphs. .- Decompose then Discriminate: LLMs-Grounded In-Context Learning for Few-Shot Knowledge Base Question Answering. .- Rule Mining from Text: A Semantic-Relational Logic Approach. .- MR-SQL: Multi-Level Retrieval Enhances Inference for LLM in Text-to-SQL. .- BRIDGE-Embed: A Novel LLM-based Document and Sentence Retrieval Method. .- Correlation-Aware Reordered Scanning Mamba for Multivariate Time Series Forecasting.     .- CoopKG: An Academic Knowledge Graph for Question Answering Systems. .- Chain-of-Thought Prompting with Causal Intervention for Multimodal Aspect-based Sentiment Analysis. .- A Large Language Model Guided Topic Refinement Mechanism for Short Text Modeling. .- SimRe: A Simulation of Memes Recreation for Memes Category Detection. .- HF-Mamba: Improving Multimodal Classification via Hierarchical Fusion based on Mamba. .- Augmenting Transformers with Enhanced Dependency Structures by Treating Relations as New Words. .- Tuning Vision-Language Models with Candidate Labels by Prompt Alignment. .- Enhancing Time Series Forecasting via Multi-Level Text Alignment with LLMs. .- SCFormer: Structured Channel-wise Transformer with Cumulative Historical State for Multivariate Time Series Forecasting. .- Unsupervised Fact Error Correction Modeling by Using Span-Level Contrastive Learning. .- Enhancing Knowledge Graph Completion with Entity Neighborhood and Relation Context. .- CELLM: Curvature Enhanced Large Language Models for Graph Structure Learning. .- Aspect-Aware Affective Focus Network For Joint Multimodal Aspect Sentiment Analysis. .- Spatial-Temporal. .- STGDPM:Vessel Trajectory Prediction with Spatio-Temporal Graph Diffusion Probabilistic Model. .- DRENet: A Dual-branch Road Extraction Network for Enhanced Connectivity. .- Towards An Efficient and Effective En Route Travel Time Estimation Framework. .- Time-aware Meta-path Aggregation on Heterogeneous Temporal Graphs. .- STSC-Net: Leveraging Spatial, Temporal, and Semantic Context for Road Network Trajectory Prediction. .- Durable Community Search on Temporal Graphs. .- Boost Dynamic Community Detection via Exploiting Member Transition Information. .- MCTM: Multi-Chord Distributed System for Efficient Trajectory Data Management in Mobile Edge Computing.  .- Continuous Dynamic Modeling via Neural ODEs for Popularity Trajectory Prediction. .- Structural Entropy Based Spatio-temporal Sequence Forecasting. .- Grayscale Image-based Top-k Spatial Dataset Search Processing. .- EPMC: An Enhanced Pre-training Model for Cellular Trajectory Representation Learning. .- Enriching Complex Event Forecasting with Nested Patterns. .- Enhancing Cross-Lingual Dialogue Summarization through Interpretable Chain-of-Thought. .- Ignite Forecasting with SPARK: An Efficient Generative Framework for Refining LLMs in Temporal Knowledge Graph Forecasting. .- TS-FourierLLM: Frozen Frequency-Domain Large Language Blocks for Enhancing Time-Series Modeling.