Database Systems for Advanced Applications

Database Core.- Well-designed Query Optimization Based on Pattern Tree.- Separating Frozen Pages via Learning-based Recognition with ZNS SSD for Write Amplification Reduction in Database.- BlindChain: Keeping Query Privacy in Blockchain Out of Sight.- OmniQO: An Adaptive Framework for Integrating ML and Traditional Query Optimizers.- LASE: A Learned Spatial Index for Dynamic Workloads.- HiCHT: High-performance Compact Hash Table.- WorthyPar: A Workload-Aware Data Hybrid Partitioning Advisor with Deep Reinforcement Learning.- GAS-DBSCAN: A Grid-based Adaptive Sampling Method for DBSCAN Clustering under Skewed Data Distribution.- Learning Distance-Aware Space Partitions for Approximate Nearest Neighbor Search.- Perspective-based Multi-task Learning for Outlier Interpretation.- SELVA: A Reliable and Fast Selectivity Estimation Method for Query Plan Optimization in Video Analytics.- Transcending Conventional Binary Labels: Revamping Knowledge Tracing with VAE-Generated Image Representation.- Efficient Computation of k Representative Regret Minimization G-Skyline Groups.- MoEPlan: A Lazy Learned Query-Selection Optimizer via Mixture of Optimizer Experts.- Time-Optimal Route Planning for Non-Linear Recharging Electric Vehicles on Road Networks.- Federated Learning.- RAP: Random Projection is What You Need for Vertical Federated Learning.- VF-FD: Feature Deduplication for Vertical Federated Learning.- VHFed: A Two-Tier Vertical and Horizontal Federated Learning Framework for Enhanced Model Performance.- Heterogeneous FL via active-passive collaboration.- Information-agnostic Model Poisoning Attacks against Byzantine-robust Federated Learning.- Social.- A Diffusion-based Triple Embedding Model for User Identity Linkage across Social Networks.- Key Users Identification-based Heterogeneous Hypergraph for Group Recommendation.- PRIM: Encoding Propagation Probability and Role-Aware Representation for Influence Maximization.- Clustering-Guided Dynamic Social Network Graph Partitioning.- Retrieval-Based Multimodal Data Augmentation for Multimodal Information Extraction in Social Media.- KMMN: Knowledge Enhanced Multimodal Multi-grained Network for Fake News Detection.- Steams & Time Series.- Memory-Augmented Short Time Series Forecasting.- Dynamic Group Nearest Neighbor Group Query over Streaming Data.- Compress Time Series with Smaller Error Tolerances.- UniMixer: Unified Patch-Wise and Global Inter-Series Dependency Modeling for Multivariate Time Series Forecasting.- Dynamic Multiple Continuous Top-k Queries Over Streaming Data.- CausalScaler: A Causality-Driven Autoscaling Framework for the Cloud.- A Benchmark Dataset and Instruction Fine-Tuning Methods for Metaphorical Comprehension and Explanation.- MPPG: Pluggable Multi-Periodic Pattern-Guided Approach for Multivariate Time Series Anomaly Detection.

• Erscheinungsdatum: 07.07.2026
• Autor/Autorin: Feida Zhu
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 43 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 521 Seiten
• ISBN: 9789819541492
• Lieferung: Download ab 07.07.2026
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