A Crowdsourcing Framework for Collecting Tabular Data
A Framework for Supervised Classification Performance Analysis with Information-Theoretic Methods
A General Centrality Framework-Based on Node Navigability
A Novel Trust Model Based Overlapping Community Detection Algorithm for Social Networks
A Variational Bayesian Framework for Cluster Analysis in a Complex Network
Deep Learning Driven Venue Recommender for Event-Based Social Networks
Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics
Entropy-based Sampling Approaches for Multi-Class Imbalanced Problems
Fast Discrete Collaborative Multi-Modal Hashing for Large-Scale Multimedia Retrieval
Ghost Imputation: Accurately Reconstructing Missing Data of the Off Period
On Nearby-Fit Spatial Keyword Queries
Real-Time Ambulance Redeployment: A Data-Driven Approach
Reference-Based Framework for Spatio-Temporal Trajectory Compression and Query Processing
Similarity Search for Dynamic Data Streams
SURGE: Continuous Detection of Bursty Regions Over a Stream of Spatial Objects
Understanding Urban Dynamics via Context-Aware Tensor Factorization with Neighboring Regularization