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Produktbild: Database Systems for Advanced Applications
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Database Systems for Advanced Applications 30th International Conference, DASFAA 2025, Singapore, Singapore, May 26–29, 2025, Proceedings, Part II

Aus der Reihe Lecture Notes in Computer Science
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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.01.2026

Abbildungen

XXXI, 770 p. 266 illus., 255 illus. in color.

Herausgeber

Feida Zhu + weitere

Verlag

Springer Singapore

Seitenzahl

770

Maße (L/B/H)

23,5/15,5/4,3 cm

Gewicht

1194 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9538-29-4

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.01.2026

Abbildungen

XXXI, 770 p. 266 illus., 255 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

770

Maße (L/B/H)

23,5/15,5/4,3 cm

Gewicht

1194 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9538-29-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Database Systems for Advanced Applications

  • .- 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.