Philip S. Yu

Heterogeneous Graph Representation Learning and Applications (Artificial Intelligence: Foundations, Theory, and Algorithms)

Broad Learning Through Fusions

Differential Privacy and Applications (Advances in Information Security, #69)

Heterogeneous Information Network Analysis and Applications (Data Analytics)

Behavior Computing

Domain Driven Data Mining

Link Mining: Models, Algorithms, and Applications

Relational Data Clustering (Chapman & Hall/CRC Data Mining and Knowledge Discovery Serie)

Introduction to Privacy-Preserving Data Publishing (Chapman & Hall/CRC Data Mining and Knowledge Discovery, #17)

Link Mining

Machine Learning in Cyber Trust

Privacy-Preserving Data Mining (Advances in Database Systems, #34) (NATO Asi, #26)

Second International Workshop on Research Issues on Data Engineering