Database Systems for Advanced Applications: Dasfaa 2019 International Workshops: Bdms, Bdqm, and Gdma, Chiang Mai, Thailand, April 22-25, 2019, Procee (Paperback, 2019)

The 6th International Workshop on Big Data Management and Service (BDSM 2019).- A Probabilistic Approach for Inferring Latent Entity Associations in Textual Web Contents.- UHRP Uncertainty-Based Pruning Method for Anonymized Data Linear Regression.- Meta-path based MiRNA-disease Association Prediction.- Medical Question Retrieval based on Siamese Neural Network and Transfer learning method.- An adaptive Kalman filter based Ocean Wave Prediction Model using Motion Reference Unit Data.- ASLM: Adaptive Single Layer Model for Learned Index.- SparseMAAC: Sparse Attention for Multi-Agent Reinforcement Learning.- The 4th International Workshop on Big Data Quality Management (BDQM 2019).- Identifying Reference Relationship of Desktop Files Based on Access Logs.- Visualization of Photo Album: Selecting a Representative Photo of a Specific Event.- Data Quality Management in Institutional Research Output Data Center.- Generalized Bayesian Structure Learning from Noisy Datasets.- The Third International Workshop on Graph Data Management and Analysis (GDMA 2019).- ANDMC: An Algorithm for Author Name Disambiguation Based on Molecular Cross Clustering.- Graph Based Aspect Extraction and Rating Classification of Customer Review Data.- Streaming Massive Electric Power Data Analysis Based on Spark Streaming.- Short Papers.- Deletion Robust k-Coverage Queries.- Episodic Memory Network with Self-Attention for Emotion Detection.- Detecting Suicidal Ideation with Data Protection in Online Communities.- Hierarchical Conceptual Labeling.- Anomaly Detection in Time-Evolving Attributed Networks.- A Multi-task Learning Framework for Automatic Early Detection of Alzheimer’s.- Top-k Spatial Keyword Query with Typicality and Semantics.- Align Reviews with Topics in Attention Network  for Rating Prediction.- PSMSP: A Parallelized Sampling-based Approach for Mining Top-k Sequential Patterns in Database Graphs.- Value-Oriented Ranking of Online Reviews Based on Reviewer-influenced Graph.- Ancient Chinese Landscape Painting Composition Classification by Using Semantic Variational Autoencoder.- Learning Time-Aware Distributed Representations of Locations from Spatio-Temporal Trajectories.- Hyper2vec: Biased Random Walk for Hyper-Network Embedding.- Privacy-preserving and dynamic spatial range aggregation query processing in wireless sensor networks.- Adversarial Discriminative Denoising for Distant Supervision Relation Extraction.- Nonnegative Spectral Clustering for Large-Scale Semi-Supervised Learning.- Distributed PARAFAC Decomposition Method based on In-Memory Big Data System.- GPU-Accelerated Dynamic Graph Coloring.- Relevance-based Entity Embedding.- An Iterative Map-Trajectory Co-Optimisation Framework Based on Map-Matching and Map Update.- Exploring Regularity in Traditional Chinese Medicine Clinical Data Using Heterogeneous Weighted Networks Embedding.- AGREE: Attentive Tour Group Recommendation with Multi-Modal Data.- Random Decision DAG: An Entropy Based Compression Approach for Random Forest.- Generating Behavior Features for Cold-Start Spam Review Detection.- TCL: Tensor-CNN-LSTM for Travel Time Prediction with Sparse Trajectory Data.- A Semi-supervised Classification Approach for Multiple Time-varying Networks with Total Variation.- Multidimensional Skylines Over Streaming Data.- A domain adaptation approach for multistream classification.- Gradient Boosting Censored Regression for Winning Price Prediction in Real-Time Bidding.- Deep Sequential Multi-task Modeling for Next Check-in Time and Location Prediction.- SemiSync: Semi-supervised Clustering by Synchronization.- Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors.- MVS-match: An Efficient Subsequence Matching Approach Based on the Series Synopsis.- Temporal-Spatial Recommendation for On-demand Cinemas.- Finding the key influences on the house price by Finite Mixture Model based on the real estate data in Changchun.- Semi-supervised Clustering with  Deep Metric Learning.- Spatial Bottleneck Minimum Task Assignment with Time-delay.- A Mimic Learning Method for Disease Risk Prediction with Incomplete Initial Data.- Hospitalization Behavior Prediction Based on Attention and Time Adjustment Factors in Bidirectional LSTM.- Modeling Item Category for Effective Recommendation.- Distributed Reachability Queries on Massive Graphs.- Edge-Based Shortest Path Caching in Road Networks.- Extracting Definitions and Hypernyms with a Two-Phase Framework.- Tag Recommendation by Word-Level Tag Sequence Modeling.- A New Statistics Collecting Method with Adaptive Strategy.- Word Sense Disambiguation with Massive Contextual Texts.- Learning DMEs from Positive and Negative Examples.- Serial and Parallel Recurrent Convolutional Neural Networks for Biomedical Named Entity Recognition.- DRGAN: A GAN-based Framework for Doctor Recommendation in Chinese On-line QA Communities.- Attention-based Abnormal-Aware Fusion Network for Radiology Report Generation.- LearningTour: A Machine Learning Approach for Tour Recommendation based on Users’ Historical Travel Experience.- TF-Miner: Topic-specific Facet Mining by Label Propagation.- Fast Raft Replication for Transactional Database Systems over Unreliable Networks.- Parallelizing Big De Bruijn Graph Traversal for Genome Assembly on GPU Clusters.- GScan: Exploiting Sequential Scans for Subgraph Matching.- SIMD Accelerates the Probe Phase of Star Joins in Main Memory Databases.- A Deep Recommendation Model Incorporating Adaptive Knowledge-based Representations.- BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation.- Spatiotemporal-Aware Region Recommendation with Deep Metric Learning.- On the Impact of the Length of Subword Vectors on Word Embeddings.- Using Dilated Residual Network to Model Distant Supervision Relation Extraction.- Modeling More Globally: A Hierarchical Attention Network via Multi-Task Learning for Aspect-Based Sentiment Analysis.- A Sparse Matrix-based Join for SPARQL Query Processing.- Change Point Detection for Streaming High-Dimensional time series.- Demo Papers.- Distributed Query Engine for Multiple-Query Optimization over Data Stream.- Adding Value by Combining Business and Sensor Data: An Industry 4.0 Use Case.- AgriKG: An Agricultural Knowledge Graph and Its Applications.- KGVis: An Interactive Visual Query Language for Knowledge Graphs.- OperaMiner: Extracting Character Relations from Opera Scripts using Deep Neural Networks.- GparMiner:  A System to mine Graph Pattern Association Rules.- A Data Publishing System Based on Privacy Preservation.- Privacy as a Service: Publishing Data and Models.- Dynamic Bus Route Adjustment Based on Hot Bus Stop Pair Extraction.- DHDSearch: A  Framework for Batch Time Series Searching  on MapReduce.- Bus Stop Refinement based on Hot Spot Extraction.- Adaptive Transaction Scheduling for Highly Contended Workloads.- IMOptimizer: An Online Interactive Parameter Optimization System based on Big Data.- Tutorial Papers.- Cohesive Subgraphs with Hierarchical Decomposition on Big Graphs.- Tracking User Behaviours: Laboratory-Based and In-The-Wild User S.- Mining Knowledge Graphs for Vision Tasks.- Enterprise Knowledge Graph From Specific Business Task to Enterprise Knowledge Management.- Knowledge Graph Data Management.- Deep learning for Healthcare Data Processing.