Database Systems for Advanced Applications

Big Data.- Accelerating Real-time Tracking Applications over Big Data Stream with Constrained Space.- A Frequency Scaling based Performance Indicator Framework for Big Data Systems.- A Time-Series Sockpuppet Detection Method for Dynamic Social Relationships.- Accelerating Hybrid Transactional/Analytical Processing using Consistent Dual-Snapshot.- HSDS: an Abstractive Model for Automatic Survey Generation.- PU-Shapelets: Towards Pattern-based Positive Unlabeled Classification of Time Series.- Clustering and Classification.- Discovering Relationship Patterns among Associated Temporal Event Sequences.- Efficient Mining of Event Periodicity in Data Series.- EPPADS: An Enhanced Phase-based Performance-Aware Dynamic Scheduler for High Job Execution Performance in Large Scale Data Clusters.- Incremental Discovery of Order Dependencies on Tuple Insertions.- Multi-view Spectral Clustering via Weighted-view Consensus Similarity and Matrix-decomposition based Discretization.-SIRCS: Slope-intercept-residual Compression by Correlation Sequencing for Multi-stream High Variation Data.- Crowdsourcing.- Fast Quorum-based Log Replication and Replay for Fast Databases.- PDCS: A Privacy-preserving Distinct Counting Scheme for Mobile Sensing.- Reinforced Reliable Worker Selection for Spatial Crowdsensing Networks.- SeqST-ResNet: A Sequential Spatial Temporal ResNet for Task Prediction in Spatial Crowdsourcing.- Towards Robust Arbitrarily Oriented Subspace Clustering.- Truthful Crowdsensed Data Trading Based on Reverse Auction and Blockchain.- Data Integration.- Selective Matrix Factorization for Multi-Relational Data Fusion.- Selectivity Estimation on Set Containment Search.- Typicality-based Across-time Mapping of Entity Sets in Document Archives.- Unsupervised Entity Alignment using Attribute Triples and Relation Triples.- Combining Meta-Graph and Attention for Recommendation over Heterogeneous Information Network.- Efficient Search of the Most Cohesive Co-Located Community in Attributed Networks.- Embedding.- A Weighted Word Embedding Model for Text Classification.- Bipartite Network Embedding via Effective Integration of Explicit and Implicit Relations.- Enhancing Network Embedding with Implicit Clustering.- MDAL: Multi-task Dual Attention LSTM Model for Semi-supervised Network Embedding.- Net2Text: An Edge Labelling Language Model for Personalized Comment Generation.- Understanding Information Diffusion via Heterogeneous Information Network Embeddings.- Graphs.- Distributed Parallel Structural Hole Detection on Big Graphs.- DynGraphGAN: Dynamic Graph Embedding via Generative Adversarial Networks.- Evaluating Mixed Patterns on Large Data Graphs Using Bitmap Views.- Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search.- Learning Fine-grained Patient Similarity with Dynamic Bayesian Network Embedded RNNs.- Towards Efficient k-TriPeak Decomposition on Large Graphs.- Knowledge Graph.- Evaluating the Choice of Tags in CQA Sites.- Fast Maximal Clique Enumeration for Real-world Graphs.- Leveraging Knowledge Graph Embeddings for Natural Language Question Answering.- Measuring Semantic Relatedness with Knowledge Association Network.- SINE: Side Information Network Embedding.- A Knowledge Graph Enhanced Topic Modeling Approach for Herb Recommendation.- Knowledge Base Error Detection with Relation Sensitive Embedding.- Leon: A Distributed RDF Engine for Multi-query Processing.- MathGraph: A knowledge graph for solving mathematical exercises.- Multi-Hop Path Queries over Knowledge Graphs with Neural Memory Networks.- Sentiment Classification by Leveraging the Shared Knowledge.