Long B., Zhang Z., Yu P.S. Relational Data Clustering. Models, Algorithms, and Applications

Chapman & Hall/CRC Press, 2010. — 195 p.The authors of this book have been actively working on the topic of relational data clustering for years, and this book is the final culmination of their years of long research on this topic. This book may be used as a collection of research notes for researchers interested in the research on this topic, a reference book for practitioners or engineers, as well as a textbook for a graduate advanced seminar on the topic of relational data clustering. This book may also be used for an introductory course for graduate students or advanced undergraduate seniors. The references collected in this book may be used as further reading lists or references for the readers.
Due to the extensive attention received on this topic in the literature, and also due to the rapid development in the literature on this topic in recent years, it is by no means meant to be exhaustive to collect complete information on relational data clustering. We intend to collect the most recent research of our own on this topic in this book. For those who have already been in the area of relational data mining or who already know what this area is about, this book serves the purpose of a formal and systematic collection of part of the most recent advances of the research on this topic. For those who are beginners to the area of relational data mining, this book serves the purpose of a formal and systematic introduction to relational data clustering.Part I Models
Co-Clustering
Heterogeneous Relational Data Clustering
Homogeneous Relational Data Clustering
General Relational Data Clustering
Multiple-View Relational Data Clustering
Evolutionary Data Clustering
Part II Algorithms
Co-Clustering
Heterogeneous Relational Data Clustering
Homogeneous Relational Data Clustering
General Relational Data Clustering
Multiple-View Relational Data Clustering
Evolutionary Data Clustering
Part III Applications
Co-Clustering
Heterogeneous Relational Data Clustering
Homogeneous Relational Data Clustering
General Relational Data Clustering
Multiple-View and Evolutionary Data Clustering
Part IV Summary