Database Systems for Advanced Applications

Machine Learning.- An Approach Based on Bayesian Networks for Query Selectivity Estimation.- An Exploration of Cross-Modal Retrieval for Unseen Concepts.- Continuous Patient-centric Sequence Generation via Sequentially Coupled Adversarial Learning.- DMMAM: A Deep Multi-source Multi-task Attention Model for Intensive Care Unit Diagnosis.- Learning k-Occurrence Regular Expressions with Interleaving.- Learning from User Social Relation for Document Sentiment Classification.- Reinforcement Learning to Diversify Recommendations.- Retweeting Prediction using Matrix Factorization with Binomial Distribution and Contextual Information.- Sparse Gradient Compression for Distributed SGD.- STDR: A Deep Learning Method for Travel Time Estimation.- Using Fractional Latent Topic to Enhance Recurrent Neural Network in Text Similarity Modeling.- Efficiently Mining Maximal Diverse Frequent Itemsets.- Privacy and Graph.- Efficient Local Search for Minimum Dominating Sets in Large Graphs.-Multi-level Graph Compression for Fast Reachability Detection.- Multiple Privacy Regimes Mechanism For Local Differential Privacy.- Privacy Preserving Elastic Stream Processing with Clouds using Homomorphic Encryption.- Select the Best for Me: Privacy-preserving Polynomial Evaluation Algorithm over Road Network.- Recommendation.- AdaCML: Adaptive Collaborative Metric Learning for Recommendation.- Adaptive Attention-Aware Gated Recurrent Unit for Sequential Recommendation.- Attention and Convolution Enhanced Memory Network for Sequential Recommendation.- Attention-based Neural Tag Recommender System.- Density Matrix based Preference Evolution Networks for E-commerce Recommendation.- Multi-Source Multi-Net Micro-Video Recommendation with Hidden Item Category Discovery.- Incorporating Task-oriented Representation in Text Classification.- Music Playlist Recommendation with Long Short-Term Memory.- Online Collaborative Filtering with Implicit Feedback.- Subspace Ensemble-based Neighbor