An Efficient Destination Prediction Approach Based on Future Trajectory Prediction and Transition Matrix Optimization
Anomaly Detection Using Local Kernel Density Estimation and Context-Based Regression
BRIGHT—Drift-Aware Demand Predictions for Taxi Networks
Conversion Prediction from Clickstream: Modeling Market Prediction and Customer Predictability
Design and Implementation of SSD-Assisted Backup and Recovery for Database Systems
Enriching Data Imputation under Similarity Rule Constraints
Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study
Learning to Weight for Text Classification
MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation
QuickPoint: Efficiently Identifying Densest Sub-Graphs in Online Social Networks for Event Stream Dissemination
r-HUMO: A Risk-Aware Human-Machine Cooperation Framework for Entity Resolution with Quality Guarantees
Scalable Dynamic Graph Summarization
Training Simplification and Model Simplification for Deep Learning : A Minimal Effort Back Propagation Method
XINA: Explainable Instance Alignment Using Dominance Relationship
Simple Statistics Are Sometime Too Simple: A Case Study in Social Media Data