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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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76,99 € UVP 87,73 €

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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.