A Novel Framework for Online Amnesic Trajectory Compression in Resource-Constrained Environments
AIDE: An Active Learning-Based Approach for Interactive Data Exploration
An Approach to Cold-Start Link Prediction: Establishing Connections between Non-Topological and Topological Information
An Optimization Model for Clustering Categorical Data Streams with Drifting Concepts
Competitive Quantization for Approximate Nearest Neighbor Search
CRATS: An LDA-Based Model for Jointly Mining Latent Communities, Regions, Activities, Topics, and Sentiments from Geosocial Network Data
Differentially Private Frequent Sequence Mining
Efficient Algorithms for Temporal Path Computation
Efficient Recovery of Missing Events
Efficient Structured Learning for Personalized Diversification
Finding Causality and Responsibility for Probabilistic Reverse Skyline Query Non-Answers
Forecasting the Next Shot Location in Tennis Using Fine-Grained Spatiotemporal Tracking Data
Incremental Query Processing on Big Data Streams
Integrating Topic and Latent Factors for Scalable Personalized Review-based Rating Prediction
Managing Diverse Sentiments at Large Scale
On the Feasibility of Distributed Kernel Regression for Big Data
Pattern Similarity Search in Genomic Sequences
PINOCCHIO: Probabilistic Influence-Based Location Selection over Moving Objects
Recommendation for Repeat Consumption from User Implicit Feedback
Scalable Daily Human Behavioral Pattern Mining from Multivariate Temporal Data
Secure Data Deduplication with Dynamic Ownership Management in Cloud Storage