E-raamat: Database Systems for Advanced Applications: DASFAA 2019 International Workshops: BDMS, BDQM, and GDMA, Chiang Mai, Thailand, April 22-25, 2019, Proceedings

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 Alzheimers.- 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 OnlineInteractive 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.