A General Geographical Probabilistic Factor Model for Point of Interest Recommendation
Active Learning for Ranking through Expected Loss Optimization
Aggregate Estimation in Hidden Databases with Checkbox Interfaces
Efficient Reverse Top-k Boolean Spatial Keyword Queries on Road Networks
ePeriodicity: Mining Event Periodicity from Incomplete Observations
Graph-Based Approaches for Over-Sampling in the Context of Ordinal Regression
Keyword Search Over Probabilistic RDF Graphs
k-Nearest Neighbor Classification over Semantically Secure Encrypted Relational Data
Learning Balanced and Unbalanced Graphs via Low-Rank Coding
LINQ: A Framework for Location-Aware Indexing and Query Processing
On Summarization and Timeline Generation for Evolutionary Tweet Streams
Progressive Duplicate Detection
Propagation of Data Fusion
Relational Collaborative Topic Regression for Recommender Systems
Resampling-Based Ensemble Methods for Online Class Imbalance Learning
Reverse Nearest Neighbors in Unsupervised Distance-Based Outlier Detection
Scalable Distributed Processing of K Nearest Neighbor Queries over Moving Objects
SERIMI: Class-Based Matching for Instance Matching Across Heterogeneous Datasets
Sparsity Learning Formulations for Mining Time-Varying Data
The Composite Data Model: A Unified Approach for Combining and Querying Multiple Data Models
Topological Transformation Approaches to Database Query Processing