A Study on Big Knowledge and Its Engineering Issues
A Survey on Spatial Prediction Methods
Accelerated and Inexact Soft-Impute for Large-Scale Matrix and Tensor Completion
Attributed Network Alignment: Problem Definitions and Fast Solutions
Efficient Multi-Class Probabilistic SVMs on GPUs
Fog-enabled Event Processing Based on IoT Resource Models
Fusion OLAP: Fusing the Pros of MOLAP and ROLAP Together for In-Memory OLAP
LPANNI: Overlapping Community Detection Using Label Propagation in Large-Scale Complex Networks
MUSE: Minimum Uncertainty and Sample Elimination Based Binary Feature Selection
Pricing Average Price Advertising Options When Underlying Spot Market Prices Are Discontinuous
Real-Time Data Retrieval in Cyber-Physical Systems with Temporal Validity and Data Availability Constraints
Scaling the Construction of Wavelet Synopses for Maximum Error Metrics
Structured Manifold Broad Learning System: A Manifold Perspective for Large-Scale Chaotic Time Series Analysis and Prediction
Utilization-Aware Trip Advisor in Bike-Sharing Systems Based on User Behavior Analysis