Philip S. Yu

Domain Driven Data Mining

This book offers state-of the-art research and development outcomes on methodologies, techniques, approaches and successful applications in domain dri...

Heterogeneous Information Network Analysis and Applications

This book offers researchers an understanding of the fundamental issues and a good starting point to work on this rapidly expanding field. It provides...

Behavior Computing

Modeling, Analysis, Mining and Decision

'Behavior' is an increasingly important concept in the scientific, societal, economic, cultural, political, military, living and virtual worlds. Behav...

Broad Learning Through Fusions

An Application on Social Networks

This book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and machine learn...

Heterogeneous Graph Representation Learning and Applications

Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for each node so as to facilitate downs...

Agents and Data Mining Interaction

10th International Workshop, ADMI 2014, Paris, France, May 5-9, 2014, Revised Selected Papers

This book constitutes the thoroughly refereed and revised selected papers from the 10th International Workshop on Agents and Data Mining Interactions,...

Introduction to Privacy-Preserving Data Publishing

Concepts and Techniques

Gaining access to high-quality data is a vital necessity in knowledge-based decision making. But data in its raw form often contains sensitive informa...

Advances in Knowledge Discovery and Data Mining

6th Pacific-Asia Conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002. Proceedings

This book constitutes the refereed proceedings of the 6th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2002, held in Taipei, ...

Differential Privacy and Applications

This book focuses on differential privacy and its application with an emphasis on technical and application aspects. This book also presents the most ...

Relational Data Clustering

Models, Algorithms, and Applications

A culmination of the authors' years of extensive research on this topic, Relational Data Clustering: Models, Algorithms, and Applications addresses th...

Link Mining: Models, Algorithms, and Applications

This book offers detailed surveys and systematic discussion of models, algorithms and applications for link mining, focusing on theory and technique, ...