icde 2019 论文列表
35th IEEE International Conference on Data Engineering Workshops, ICDE Workshops 2019, Macao, China, April 8-12, 2019.
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Generation of a Short Narrative Caption for an Image Using the Suggested Hashtag.
Large-Scale Image Search using Region Division.
Multi-camera Background and Scene Activity Modelling Based on Spearman Correlation Analysis and Inception-V3 Network.
Sparse Manifold Embedded Hashing for Multimedia Retrieval.
Fully Convolutional DenseNets for Polyp Segmentation in Colonoscopy.
Initial Experience with 3D XPoint Main Memory.
Revisiting Hash Join on Graphics Processors: A Decade Later.
Generating Synthetic Graphs for Large Sensitive and Correlated Social Networks.
Elites Tweet? Characterizing the Twitter Verified User Network.
A Method for Scalable First-Order Rule Learning on Twitter Data.
Improving Distribued Subgraph Matching Algorithm on Timely Dataflow.
Skyline Nearest Neighbor Search on Multi-layer Graphs.
Classification of Medical Images with Synergic Graph Convolutional Networks.
Semantic Similarity Computation in Knowledge Graphs: Comparisons and Improvements.
MPMatch: A Multi-core Parallel Subgraph Matching Algorithm.
Efficient Parallel Computing of Graph Edit Distance.
Triangle Counting on GPU Using Fine-Grained Task Distribution.
Reachability in Large Graphs Using Bloom Filters.
Semantic Parsing and Attentive Feature-Temporal Pooling Network for Video-Based Person Image Retrieval.
Context-Aware Co-attention Neural Network for Service Recommendations.
Towards Distributed Multi-model Learning on Apache Spark for Model-Based Recommender.
Predicting Online User Purchase Behavior Based on Browsing History.
Context-Aware Attention-Based Data Augmentation for POI Recommendation.
Distilling Knowledge from User Information for Document Level Sentiment Classification.
Collaborative Generative Adversarial Network for Recommendation Systems.
Incorporating Latent Space Correlation Coefficients to Collaborative Filtering.
A Group Recommendation Approach Based on Neural Network Collaborative Filtering.
Learning to Select User-Specific Features for Top-N Recommendation of New Items.
Cost/Performance in Modern Data Stores: How Data Caching Systems Succeed.
AutoCache: Employing Machine Learning to Automate Caching in Distributed File Systems.
Guided Bayesian Optimization to AutoTune Memory-Based Analytics.
Gray Box Modeling Methodology for Runtime Prediction of Apache Spark Jobs.
Towards self-managing cloud-scale computing platforms: Experiences and challenges.
Distribution-Driven, Embedded Synthetic Data Generation System and Tool for RDBMS.
Towards Auto-Scaling Existing Transactional Databases with Strong Consistency.
A Framework for Self-Managing Database Systems.
Recommendation of Indian Cuisine Recipes Based on Ingredients.
Data Mining Approach to Chinese Food Analysis for Diet-Related Cardiometabolic Diseases.
Computational Models for the Evolution of World Cuisines.
Food Image to Cooking Instructions Conversion Through Compressed Embeddings Using Deep Learning.
Quality of Experience Evaluation of Smart-Wearables: A Mathematical Modelling Approach.
A Data-Driven Approach for Tracking Human Litter in Modern Cities.
Driving Big Data: A First Look at Driving Behavior via a Large-Scale Private Car Dataset.
Big Stream Processing Systems: An Experimental Evaluation.
TVDP: Translational Visual Data Platform for Smart Cities.
Implementing Big Data Lake for Heterogeneous Data Sources.
Technical Mechanics of a Trans-Border Waste Flow Tracking Solution Based on Blockchain Technology.
Blockchain Enabled Distributed Data Management - A Vision.
Blockchain-Based Bidirectional Updates on Fine-Grained Medical Data.
Dynamic Data Quality for Static Blockchains.
Reducing Forks in the Blockchain via Probabilistic Verification.
Scalable and Privacy-Preserving Design of On/Off-Chain Smart Contracts.
VQL: Providing Query Efficiency and Data Authenticity in Blockchain Systems.
