{"title":"Feida Zhu","description":null,"products":[{"product_id":"database-systems-for-advanced-applications-feida-zhu-ebook","title":"Database Systems for Advanced Applications","description":"\u003cp class=\"MsoNormal\"\u003e\u003cstrong\u003eDatabase Core.\u003c\/strong\u003e- 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.\u003cstrong\u003e- Federated Learning.\u003c\/strong\u003e- 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.\u003cstrong\u003e- Social.\u003c\/strong\u003e- 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.\u003cstrong\u003e- Steams \u0026amp; Time Series.\u003c\/strong\u003e- 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.\u003c\/p\u003e","brand":"Feida Zhu","offers":[{"title":"Default Title","offer_id":54187390468423,"sku":"9789819541492","price":85.59,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/database-systems-for-advanced-applications-ebook-cover-feida-zhu.webp?v=1781806695"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/collections\/feida-zhu-autor-kollektion.webp?v=1781806693","url":"https:\/\/www.cinebuch.de\/collections\/feida-zhu.oembed","provider":"CineBuch","version":"1.0","type":"link"}