Managing and Mining Graph Data is a comprehensive survey book in graph
data analytics. It contains extensive surveys on important graph topics
such as graph languages, indexing, clustering, data generation, pattern
mining, classification, keyword search, pattern matching, and privacy.
It also studies a number of domain-specific scenarios such as stream
mining, web graphs, social networks, chemical and biological data. The
chapters are written by leading researchers, and provide a broad
perspective of the area. This is the first comprehensive survey book in
the emerging topic of graph data processing.
Managing and Mining Graph Data is designed for a varied audience
composed of professors, researchers and practitioners in industry. This
volume is also suitable as a reference book for advanced-level database
students in computer science.
About the Editors:
Charu C. Aggarwal obtained his B.Tech in Computer Science from IIT
Kanpur in 1993 and Ph.D. from MIT in 1996. He has worked as a researcher
at IBM since then, and has published over 130 papers in major data
mining conferences and journals. He has applied for or been granted over
70 US and International patents, and has thrice been designated a Master
Inventor at IBM. He has received an IBM Corporate award for his work on
data stream analytics, and an IBM Outstanding Innovation Award for his
work on privacy technology. He has served on the executive committees of
most major data mining conferences. He has served as an associate editor
of the IEEE TKDE, as an associate editor of the ACM SIGKDD Explorations,
and as an action editor of the DMKD Journal. He is a fellow of the IEEE,
and a life-member of the ACM.
Haixun Wang is currently a researcher at Microsoft Research Asia. He
received the B.S. and the M.S. degree, both in computer science, from
Shanghai Jiao Tong University in 1994 and 1996. He received the Ph.D.
degree in computer science from the University of California, Los
Angeles in 2000. He subsequently worked as a researcher at IBM until
2009. His main research interest is database language and systems, data
mining, and information retrieval. He has published more than 100
research papers in referred international journals and conference
proceedings. He serves as an associate editor of the IEEE TKDE, and has
served as a reviewer and program committee member of leading database
conferences and journals.
