A Linear Time Approach to Computing Time Series Similarity Based on Deep Metric Learning
A Novel Discriminative Dictionary Pair Learning Constrained by Ordinal Locality for Mixed Frequency Data Classification
A Survey on Data Pricing: From Economics to Data Science
Adaptive Local Embedding Learning for Semi-Supervised Dimensionality Reduction
An Adaptive Social Spammer Detection Model With Semi-Supervised Broad Learning
Answering Why-Questions for Subgraph Queries
CFFNN: Cross Feature Fusion Neural Network for Collaborative Filtering
Challenges in KNN Classification
Consensus One-Step Multi-View Subspace Clustering
Continuous Trajectory Similarity Search for Online Outlier Detection
Cross-View Locality Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection
Data Dependencies Extended for Variety and Veracity: A Family Tree
DeepBlue: Bi-Layered LSTM for Tweet popUlarity Estimation
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation
Efficient Similarity-Aware Influence Maximization in Geo-Social Network
Efficient Distributed Clustering Algorithms on Star-Schema Heterogeneous Graphs
Event Popularity Prediction Using Influential Hashtags From Social Media
Fast Extended Inductive Robust Principal Component Analysis With Optimal Mean
GloDyNE: Global Topology Preserving Dynamic Network Embedding
$\mathop {\mathtt {HAM}}$HAM: Hybrid Associations Models for Sequential Recommendation
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark
Improving Image Similarity Learning by Adding External Memory
Learning to Rank for Uplift Modeling
LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy
Looking Back on the Past: Active Learning With Historical Evaluation Results
Multi-Dimensional Randomized Response
Multiset Membership Lookup in Large Datasets
Pattern Classification With Corrupted Labeling via Robust Broad Learning System
Prediction of Intra-Urban Human Mobility by Integrating Regional Functions and Trip Intentions
Preference and Constraint Factor Model for Event Recommendation
Recurrent Learning on PM2.5 Prediction Based on Clustered Airbox Dataset
Unsupervised Ensemble Classification With Sequential and Networked Data
Video Monitoring Queries
Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning
Stable Community Detection in Signed Social Networks
