A Novel Representation and Compression for Queries on Trajectories in Road Networks
Authenticating Aggregate Queries over Set-Valued Data with Confidentiality
Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising
Community Deception or: How to Stop Fearing Community Detection Algorithms
Efficient Computation of G-Skyline Groups
Janus: A Hybrid Scalable Multi-Representation Cloud Datastore
Learning Dynamic Conditional Gaussian Graphical Models
Linguistic Petri Nets Based on Cloud Model Theory for Knowledge Representation and Reasoning
Propagation-Based Temporal Network Summarization
Realizing Memory-Optimized Distributed Graph Processing
Reverse $k$ Nearest Neighbor Search over Trajectories
To Meet or Not to Meet: Finding the Shortest Paths in Road Networks
Topic Models for Unsupervised Cluster Matching
Towards Why-Not Spatial Keyword Top-$k$ Queries: A Direction-Aware Approach