Organizing Committee
Steering Committee
Program Committee

Papers and Proposals
Call for Papers
Call for Workshop Proposals
Call for Tutorial Proposals
Important Dates
Paper Submission (Closed)
Paper Review (PC Only)

Keynote Speakers
Conference Program
Accepted Papers

Conference Registration
Student Travel Support

PAKDD Workshops

Other Events
PAKDD School
Data Mining Competition

Conference Venue
About Singapore
Tourist Information


Keynote Speakers

Title: Protection or privacy? Data mining and personal data


In order to run countries and economies effectively, governments and governmental institutions need to collect and analyse vast amounts of personal data. Similarly, health service providers, security services, transport planners, and education authorities need to know a great deal about their clients. And, of course, commercial operations run more efficiently and can meet the needs of their customers more effectively the more they know about them. In general then, the more data these organisation have, the better. On the other hand, the more private data which is collated and disseminated, the more individuals are at risk of crimes such as identity theft and financial fraud, not to mention the simple invasion of privacy that such data collection represents. Most work in data mining has concentrated on the positive aspects of extracting useful information from large data sets. But as the technology and its use advances so more awareness of the potential downside is needed. In this paper I look at some of these issues. I examine how data mining tools and techniques are being used by governments and commercial operations to gain insight into individual behaviour. And I look at the concerns that such advances are bringing.


David Hand is Professor of Statistics and Head of the Statistics Section at Imperial College London. He has published over twenty books on statistics and related areas, including Principles of Data Mining. He launched the journal Statistics and Computing, and served a term of office as editor of Journal of the Royal Statistical Society, Series C. He was awarded the Thomas L. Saaty Prize for Applied Advances in the Mathematical and Management Sciences in 2001, the Royal Statistical Society’s Guy Medal in Silver in 2002, the IEEE International Conference on Data Mining award for Outstanding Contributions in 2004, and was elected Fellow of the British Academy in 2003. He acts as a consultant to a wide range of organisations, including governments, banks, pharmaceutical companies, manufacturing industry, and health service providers.

Title: The changing face of web search


Web search has come to dominate our consciousness as a convenience we take for granted, as a medium for connecting advertisers and buyers, and as a fast-growing revenue source for the companies that provide this service. Following a brief overview of the state of the art and how we got there, this talk covers a spectrum of technical challenges arising in web search – ranging from spam detection to auction mechanisms.


Prabhakar Raghavan joined Yahoo! Research in July 2005. His research interests include text and web mining, and algorithm design. He is a Consulting Professor of Computer Science at Stanford University and Editor-in-Chief of the Journal of the ACM. Raghavan received his PhD from Berkeley and is a Fellow of the ACM and of the IEEE. Prior to joining Yahoo, he was Senior Vice-President and Chief Technology Officer at Verity; before that he held a number of technical and managerial positions at IBM Research.