Title | Database Systems for Advanced Applications [electronic resource] : DASFAA 2019 International Workshops: BDMS, BDQM, and GDMA, Chiang Mai, Thailand, April 22–25, 2019, Proceedings / edited by Guoliang Li, Jun Yang, Joao Gama, Juggapong Natwichai, Yongxin Tong |
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Imprint | Cham : Springer International Publishing : Imprint: Springer, 2019 |
Edition | 1st ed. 2019 |
Connect to | https://doi.org/10.1007/978-3-030-18590-9 |
Descript | XXI, 607 p. 241 illus., 154 illus. in color. online resource |
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