IEEE Data Mining Forum 2008 May 28-29, 2008, Hong Kong (Forum Program with Slides; Registration Form; Photos)

IEEE Data Mining Forum 2008 aims to discuss fundamental challenges in data mining and explore the next generation of data mining research and development. We have invited a select number of world's leading experts from North America, Europe, Australia, and Asia to provide invited talks and participate in panel discussions. From the invited talks and panel discussions at the Forum, we will publish a special issue on Challenges and Opportunities in Data Mining with the Knowledge and Information Systems journal, and an edited book on Frontiers in Data Mining Research with the Springer Book Series on Advanced Information and Knowledge Processing.

Forum Chairs

Keith C.C. Chan and Xindong Wu
The Hong Kong Polytechnic University, China

Invited Speakers

• Nick Cercone, York University, Canada
  Title: Finding Best Evidence for Evidence-Based Best Practice Recommendations in Health Care
• Hillol Kargupta, University of Maryland, USA
  Title: Data Mining in Ubiquitous and Distributed Environments
• Ramamohanarao Kotagiri, University of Melbourne, Australia
  Title: Contrast Pattern Mining and Applications
• Vipin Kumar, University of Minnesota, USA
  Title: Discovery of Patterns in the Global Climate System using Data Mining
• Ee-Peng Lim, Nanyang Technological University, Singapore
  Title: Mining Evaluation Networks in Web 2.0
• Katharina Morik, University of Dortmund, Germany
  Title: The Challenge of Heterogeneity
• Dino Pedreschi, Universit di Pisa, Italy
  Title: Mobility, Data Mining and Privacy
• Gregory Piatetsky-Shapiro, KDnuggets, USA
  Title: The Grand and not so Grand Challenges For Data Mining in Business Applications
• Sunita Sarawagi, IIT Bombay, India
  Title: Structured Prediction Models in Information Extraction
• Michele Sebag, Universit Paris-Sud, France
  Title: Which (Data Mining) Algorithm Should I Use?
• Yong Shi, Chinese Academy of Sciences, China
  Title: Multiple Criteria Mathematical Programming-based Data Mining - Theory and Applications
• Geoff Webb, Monash University, Australia
  Title: Finding the Real Patterns
• Andrew K. C. Wong, University of Waterloo, Canada
  Title: Association Pattern Analysis for Pattern Pruning, Pattern Clustering and Summarization
• Philip S. Yu, University of Illinois at Chicago, USA
  Title: Exploring the Power of Link Analysis
• Ning Zhong, Maebashi Institute of Technology, Japan
  Title: Multi-Aspect Human Brain Data Analysis Based on Brain Informatics Methodology
• Zhi-Hua Zhou, Nanjing University, China
  Title: Advances and Problems in Semi-Supervised Learning

Invited Panelists

• David Cheung, The University of Hong Kong
• Fosca Giannotti, KDD Lab, ISTI-CNR, Italy
• Qing Li, The City University of Hong Kong
• Jiming Liu, The Hong Kong Baptist University
• Dacheng Tao, The Hong Kong Polytechnic University
• Zhaohui Wu, Zhejiang University, China
• Qiang Yang, The Hong Kong University of Science and Technology
• Jeffrey Xu Yu, The Chinese University of Hong Kong

Panel Discussions

• Panel 1: Data Challenges for Data Mining
  Chair: Qiang Yang, The Hong Kong University of Science and Technology
• Panel 2: Useful Activities to Promote Data Mining
  Chair: Fosca Giannotti, KDD Lab, ISTI-CNR, Italy