Database Systems for Advanced Applications

Table of Contents

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   Book Overview
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   Chapter 1 A Data-Driven Approach for GPS Trajectory Data Cleaning
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   Chapter 2 Heterogeneous Replicas for Multi-dimensional Data Management
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   Chapter 3 Latency-Aware Data Placements for Operational Cost Minimization of Distributed Data Centers
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   Chapter 4 Verify a Valid Message in Single Tuple: A Watermarking Technique for Relational Database
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   Chapter 5 WFApprox: Approximate Window Functions Processing
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   Chapter 6 BiSample: Bidirectional Sampling for Handling Missing Data with Local Differential Privacy
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   Chapter 7 PrivGMM: Probability Density Estimation with Local Differential Privacy
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   Chapter 8 A Progressive Approach for Computing the Earth Mover’s Distance
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    Chapter 9 Predictive Transaction Scheduling for Alleviating Lock Thrashing
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    Chapter 10 Searchable Symmetric Encryption with Tunable Leakage Using Multiple Servers
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    Chapter 11 Completely Unsupervised Cross-Modal Hashing
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    Chapter 12 High Performance Design for Redis with Fast Event-Driven RDMA RPCs
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    Chapter 13 Efficient Source Selection for Error Detection via Matching Dependencies
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    Chapter 14 Dependency Preserved Raft for Transactions
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    Chapter 15 Adaptive Method for Discovering Service Provider in Cloud Composite Services
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    Chapter 16 Auction-Based Order-Matching Mechanisms to Maximize Social Welfare in Real-Time Ride-Sharing
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    Chapter 17 GDS: General Distributed Strategy for Functional Dependency Discovery Algorithms
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    Chapter 18 Efficient Group Processing for Multiple Reverse Top- k Geo-Social Keyword Queries
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    Chapter 19 C2TTE: Cross-city Transfer Based Model for Travel Time Estimation
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    Chapter 20 Migratable Paxos
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    Chapter 21 GDPC: A GPU-Accelerated Density Peaks Clustering Algorithm
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    Chapter 22 RS-store: A SkipList-Based Key-Value Store with Remote Direct Memory Access
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    Chapter 23 Balancing Exploration and Exploitation in the Memetic Algorithm via a Switching Mechanism for the Large-Scale VRPTW
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    Chapter 24 Game Recommendation Based on Dynamic Graph Convolutional Network
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    Chapter 25 From Code to Natural Language: Type-Aware Sketch-Based Seq2Seq Learning
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    Chapter 26 Coupled Graph Convolutional Neural Networks for Text-Oriented Clinical Diagnosis Inference
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    Chapter 27 Vector-Level and Bit-Level Feature Adjusted Factorization Machine for Sparse Prediction
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    Chapter 28 Cross-Lingual Transfer Learning for Medical Named Entity Recognition
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    Chapter 29 A Unified Adversarial Learning Framework for Semi-supervised Multi-target Domain Adaptation
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    Chapter 30 MTGCN: A Multitask Deep Learning Model for Traffic Flow Prediction
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    Chapter 31 SAEA: Self-Attentive Heterogeneous Sequence Learning Model for Entity Alignment
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    Chapter 32 TADNM: A Transportation-Mode Aware Deep Neural Model for Travel Time Estimation
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    Chapter 33 FedSel: Federated SGD Under Local Differential Privacy with Top-k Dimension Selection
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    Chapter 34 BiGCNN: Bidirectional Gated Convolutional Neural Network for Chinese Named Entity Recognition
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    Chapter 35 Dynamical User Intention Prediction via Multi-modal Learning
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    Chapter 36 Graph Convolutional Network Using a Reliability-Based Feature Aggregation Mechanism
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    Chapter 37 A Deep-Learning-Based Blocking Technique for Entity Linkage
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    Chapter 38 PersonaGAN: Personalized Response Generation via Generative Adversarial Networks
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    Chapter 39 Motif Discovery Using Similarity-Constraints Deep Neural Networks
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    Chapter 40 An Empirical Study on Bugs Inside TensorFlow
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    Chapter 41 Partial Multi-label Learning with Label and Feature Collaboration
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    Chapter 42 Optimal Trade Execution Based on Deep Deterministic Policy Gradient
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    Chapter 43 A Fast Automated Model Selection Approach Based on Collaborative Knowledge
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    Chapter 44 Attention with Long-Term Interval-Based Gated Recurrent Units for Modeling Sequential User Behaviors
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    Chapter 45 Latent Space Clustering via Dual Discriminator GAN
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    Chapter 46 Neural Pairwise Ranking Factorization Machine for Item Recommendation
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    Chapter 47 Reward-Modulated Adversarial Topic Modeling
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    Chapter 48 Link Inference via Heterogeneous Multi-view Graph Neural Networks
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    Chapter 49 SAST-GNN: A Self-Attention Based Spatio-Temporal Graph Neural Network for Traffic Prediction
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    Chapter 50 Enhancing Linear Time Complexity Time Series Classification with Hybrid Bag-Of-Patterns
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    Chapter 51 SentiMem: Attentive Memory Networks for Sentiment Classification in User Review
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    Chapter 52 AMTICS: Aligning Micro-clusters to Identify Cluster Structures
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    Chapter 53 Improved Representations for Personalized Document-Level Sentiment Classification
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    Chapter 54 Modeling Multi-aspect Relationship with Joint Learning for Aspect-Level Sentiment Classification