E-grāmata: Database Systems for Advanced Applications: 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part II

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 User Searching for Neighborhood-based Collaborative Filtering.- Towards Both Local and Global Query Result Diversification.- Social Network.- Structured Spectral Clustering of PurTree Data.- Dynamic stochastic block model with scale-free characteristic for temporal complex networks.- In Good Company: Efficient Retrieval of the Top-k Most Relevant Event-Partner Pairs.- Local Experts Finding across Multiple Social Networks.- SBRNE: An Improved Unified Framework for Social and Behavior Recommendations with Network Embedding.- User Intention-based Document Summarization on Heterogeneous Sentence Networks.- Spatial.- A Hierarchical Index Structure for Region-aware Spatial Keyword Search with Edit Distance Constraint.- Collective POI Querying Based on Multiple Keywords and User Preference.- DPSCAN: Structural Graph Clustering Based on Density Peaks.- Efficient Processing of Spatial Group Preference Queries.- Reverse-Auction-Based Competitive Order Assignment for Mobile Taxi-Hailing Systems.- Top-k Spatio-Topic Query on Social Media Data.- Spatio-temporal.- A Frequency-aware Spatio-Temporal Network for Traffic Flow Prediction.- Efficient Algorithms for Solving Aggregate Keyword Routing Problems.- Perceiving Topic Bubbles: Local Topic Detection in Spatio-temporal Tweet Stream.- Real-Time Route Planning and Online Order Dispatch for Bus-Booking Platforms.- STL: Online Detection of Taxi Trajectory Anomaly based on Spatial-Temporal Laws.