models and structures for uncertain information in data mining and complex data analysis,
association rule mining and clustering of uncertain data,
machine learning in uncertain data,
mining moving-object trajectories and biological data with noise,
similarity matching of objects with uncertainty, and
efficient mining and analysis of uncertain/probabilistic data streams.
R. Cheng is with the Department of Computer Science, University of Hong Kong, Pokfulam Road, Hong Kong. E-mail: email@example.com.
M. Chau is with the School of Business, University of Hong Kong, Pokfulam Road, Hong Kong. E-mail: firstname.lastname@example.org.
M. Garofalakis is with the Department of Electronic and Computer Engineering, Technical University of Crete, Greece.
J.X. Yu is with the Department of Systems Engineering and Engineering Management, Chinese University of Hong Kong, Pokfulam Road, Hong Kong. E-mail: email@example.com.
For information on obtaining reprints of this article, please send e-mail to: firstname.lastname@example.org.
Reynold Cheng received the BEng degree in computer engineering and the MPhil degree in computer science and information systems from the University of Hong Kong (HKU) in 1998 and 2000, respectively, and the MSc and PhD degrees from the Department of Computer Science, Purdue University, in 2003 and 2005, respectively. He is an assistant professor in the Department of Computer Science at HKU. He was the recipient of the 2010 Research Output Prize in the Department of Computer Science at HKU. He is a keynote speaker in the First International Workshop on Quality of Context (QuaCon '09). From 2005 to 2008, he was an assistant professor in the Department of Computing at Hong Kong Polytechnic University, where he received two Performance Awards. He is a member of the IEEE, the ACM, ACM SIGMOD, and UPE. He has served on the program committees and review panels for leading database conferences and journals. He received an Outstanding Service Award at the CIKM 2009 conference. His research interests include database management, as well as querying and mining of uncertain data.
Michael Chau received the bachelor's degree in computer science and information systems from the University of Hong Kong in 1998, and the PhD degree in management information systems from the University of Arizona, Tucson, in 2003. He is currently an assistant professor in the School of Business at the University of Hong Kong. His current research interests include information retrieval, Web mining, data mining, knowledge management, electronic commerce, and security informatics. He has published more than 70 research articles in leading journals and conferences, including Computer, the Journal of the America Society for Information Science and Technology, the Journal of the Association for Information Systems, Decision Support Systems, and Communications of the ACM. He is a member of the IEEE, ACM, ASIST, and AIS and is the chairman of the Computational Intelligence Chapter of the IEEE (HK). He is the organizing chair or program chair of five conferences/workshops and a program committee member of more than 35 international conferences. More information can be found at http://www.business.hku.hk/~mchau/.
Minos Garofalakis received the diploma degree in computer engineering and informatics (School of Engineering Valedictorian) from the University of Patras, Greece, in 1992, and the MSc and PhD degrees in computer science from the University of Wisconsin-Madison in 1994 and 1998, respectively. He worked as a member of the technical staff at Bell Labs, Lucent Technologies in Murray Hill, New Jersey (1998-2005), as a senior researcher at Intel Research Berkeley in Berkeley, California (2005-2007), and as a principal research scientist at Yahoo! Research in Santa Clara, California (2007-2008). In parallel, he also held an adjunct associate professor position in the Electrical Engineering and Computer Sciences Department at the University of California, Berkeley (2006-2008). Since September 2008, he has been a professor of computer science in the Department of Electronic and Computer Engineering at the Technical University of Crete, and the director of the Software Technology and Network Applications Lab (SoftNet). He currently serves as an associate editor for the ACM Transactions on Database Systems and the IEEE Transactions on Knowledge and Data Engineering, and as an editorial board member for Foundations and Trends in Databases and the Proceedings of the VLDB Endowment. He was the Core Database Technology PC Chair for VLDB '07, and an associate editor for the IEEE Data Engineering Bulletin (2004-2006). His research interests include database systems, centralized and distributed data streams, data synopses and approximate query processing, probabilistic and uncertain databases, network-data management, XML/text databases, and data mining. His work has resulted in 33 US patent filings (15 patents issued) for companies such as Lucent, Yahoo!, and AT&T. Google Scholar gives more than 5,000 citations to his work, and an h-index value of 37. He is a senior member of the ACM, a member of the IEEE, and the recipient of the 2009 IEEE ICDE Best Paper Award, the Bell Labs President's Gold Award (2004), and the Bell Labs Teamwork Award (2003).
Jeffrey Xu Yu received the BE, ME and PhD degrees in computer science from the University of Tsukuba, Japan, in 1985, 1987, and 1990, respectively. Dr. Yu held teaching positions at the Institute of Information Sciences and Electronics, University of Tsukuba, Japan, and the Department of Computer Science, The Australian National University. Currently, he is a professor in the Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong. Dr. Yu's current main research interests includes graph database, XML database, data mining, Web technology, and query processing and query optimization. He has published more than 200 papers that have been published in the IEEE Transactions on Knowledge and Data Engineering (TKDE), the VLDB Journal, the ACM Transactions on Database Systems, SIGMOD, SIGKDD, VLDB, ICDE, and EDBT. He was an associate editor of TKDE, and is a VLDB Journal editorial board member. He is a member of the IEEE.