Managing and Mining Graph Data (Hardcover)

Charu C. Aggarwal, Haixun Wang



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.




Charu C. Aggarwal於1993年獲得印度理工學院坎普爾分校的計算機科學學士學位,並於1996年獲得麻省理工學院的博士學位。自那時以來,他一直在IBM擔任研究員,並在主要的數據挖掘會議和期刊上發表了130多篇論文。他申請或獲得了70多項美國和國際專利,並三次被IBM指定為主要發明家。他因在數據流分析方面的工作而獲得IBM公司獎,並因在隱私技術方面的工作而獲得IBM傑出創新獎。他曾擔任大多數主要數據挖掘會議的執行委員會成員。他曾擔任IEEE TKDE的副編輯,ACM SIGKDD Explorations的副編輯,以及DMKD Journal的行動編輯。他是IEEE的會士,也是ACM的終身會員。

Haixun Wang目前是微軟亞洲研究院的研究員。他於1994年和1996年分別獲得上海交通大學計算機科學學士和碩士學位。他於2000年獲得加利福尼亞大學洛杉磯分校的計算機科學博士學位。之後,他在IBM擔任研究員直到2009年。他的主要研究興趣是數據庫語言和系統、數據挖掘和信息檢索。他在國際期刊和會議上發表了100多篇研究論文。他擔任IEEE TKDE的副編輯,並曾擔任領先的數據庫會議和期刊的審稿人和程序委員會成員。