Dr. Wee Keong Ng is an Associate Professor at the School of Computer Engineering, Nanyang Technological University, Singapore.
Advances in high volume data storage technologies have made it easier to accumulate large amounts of data for various purposes. In conjunction with the wide acceptance of the Internet--which is generally supported by large back-end database systems---as a platform for massive information exchange, the issues of data privacy and enabling secure data sharing are timely. While database vendors now incorporate data protection mechanisms in database systems, the provisions for multiple autonomous sites to collaboratively perform data mining using each sites local and private data are still at its infancy; this, despite the first work on privacy preserving data mining first appearing 7 years ago in year 2000. We are interested to fill this void; to investigate an empirical platform that allows multiple parties, each having some data they wish to contribute, to perform data mining and other kinds of data analytics on the contributed data as a whole, such that globally derived results are known to all parties and the privacy of each contributing sites local data is not compromised. This investigation leveraged on our prior work on enabling data privacy preservation in computing scalar products, matrix operations, genetic algorithms, gradient descent optimization, and self-organizing maps. Such a secure data platform finds applications in scenarios where data are independently held by autonomous institutions but analytical results from a global perspective is desired. Examples include money laundering detection from financial institutions and epidemic investigations from health institutions within a geographical region.
Biography:
Wee Keong Ng is Associate Professor at the School of Computer Engineering, Nanyang Technological University, Singapore. He received his PhD from the University of Michigan at Ann Arbor, USA. He has published more than 170 refereed journal and conference articles in the area of data mining, Web information systems, database and data warehousing, and software agents. Dr. Ng actively participates in international conference activities. In recent years, he is Asia Pacific Liaison Chair of the 7th IFIP WG6.11 Conference on e-Commerce, e-Business, and e-Government (I3E 2008), Area Chair of the 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2008), Program Co-Chair of the 5th International Conference on Service Science and Service Management (ICSSSM'08), Area Chair of the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2007), Program Chair of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2006), Program Vice Chair of the 9th Pacific Rim International Conference on Artificial Intelligence (PRICAI2006), and Industrial Chair of the 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2005). Dr. Ng is currently a member of the Editorial Review Board of the Journal of Database Management (JDM), the International Journal of Applied Decision Sciences (IJADS), the International Journal of Intelligent Data Analysis (IJIDA), the International Journal of Intelligent Information and Database Systems (IJIIDS), and the International Journal of Intelligent Information Technologies (IJIIT). Dr. Ng is a Member of IEEE and ACM. More information about Dr. Ng can be found at http://member.acm.org/~wkn .