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Author:   Feida Zhu ,  Philip. S Yu ,  Akiyo Nadamoto ,  Ee-peng Lim
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
ISBN:  

9789819541485

ISBN 10:   9819541484
Pages:   483
Publication Date:   22 January 2026
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

.- 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. .- 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. .- 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. .- 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.

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