Session 1: 9.00am ~ 10.30am
Chair: Keith C.C. Chan (Slides)

• 9.00am ~ 9.45pm
  Philip S. Yu, University of Illinois at Chicago, USA
  Title: Exploring the Power of Link Analysis (Slides)
• 9.45am ~ 10.30am
  Sunita Sarawagi, IIT Bombay, India
  Title: Structured Prediction Models in Information Extraction (Slides)

Session 2: 10.45am ~ 12.15pm
Chair: Qing Li

• 10.45am ~ 11.30am
  Dino Pedreschi, Universit di Pisa, Italy
  Title: Mobility, Data Mining and Privacy (Slides)
• 11.30am ~ 12.15pm
  Andrew K. C. Wong, University of Waterloo, Canada
  Title: Association Pattern Analysis for Pattern Pruning, Pattern Clustering and Summarization (Slides)

Session 3: 1.15pm ~ 2.45pm
Chair: Jiming Liu

• 1.15pm ~ 2.00pm
  Vipin Kumar, University of Minnesota, USA
  Title: Discovery of Patterns in the Global Climate System using Data Mining (Slides)
• 2.00pm ~ 2.45pm
  Ee-Peng Lim, Nanyang Technological University, Singapore
  Title: Mining Evaluation Networks in Web 2.0 (Slides)

Session 4: 3.00pm ~ 4.30pm
Chair: Jianzhong Li

• 3.00pm ~ 3.45pm
  Geoff Webb, Monash University, Australia
  Title: Finding the Real Patterns (Slides)
• 3.45pm ~ 4.30pm
  Zhi-Hua Zhou, Nanjing University, China
  Title: Advances and Problems in Semi-Supervised Learning (Slides)

Slides

• Keith C.C. Chan (Slides), The Hong Kong Polytechnic University
• Nick Cercone, York University, Canada
• Ramamohanarao Kotagiri (Slides), University of Melbourne, Australia
• Qing Li (Slides), The City University of Hong Kong
• Gregory Piatetsky-Shapiro (Slides), KDnuggets, USA
• Michele Sebag (Slides), Universit Paris-Sud, France
• Dacheng Tao (Slides), The Hong Kong Polytechnic University
• Philip S. Yu (Slides), University of Illinois at Chicago, USA

Session 5: 9.00am ~ 10.30am
Chair: Xindong Wu

• 9.00am ~ 9.45am
  Gregory Piatetsky-Shapiro, KDnuggets, USA
  Title: The Grand and not so Grand Challenges For Data Mining in Business Applications (Slides)
• 9.45am ~ 10.30am
  Michele Sebag, Universit Paris-Sud, France
  Title: Which (Data Mining) Algorithm Should I Use? (Slides)

Session 6: 10.45am ~ 12.15pm
Chair: Dacheng Tao

• 10.45am ~ 11.30am
  Hillol Kargupta, University of Maryland, USA
  Title: Data Mining in Ubiquitous and Distributed Environments (Slides)
• 11.30am ~ 12.15pm
  Katharina Morik, University of Dortmund, Germany
  Title: The Challenge of Heterogeneity (Slides)

Session 7: 1.15pm ~ 2.45pm
Chair: David Cheung

• 1.15pm ~ 2.00pm
  Nick Cercone, York University, Canada
  Title: Finding Best Evidence for Evidence-Based Best Practice Recommendations in Health Care (Slides)
• 2.00pm ~ 2.45pm
  Yong Shi, Chinese Academy of Sciences, China
  Title: Multiple Criteria Mathematical Programming-based Data Mining - Theory and Applications (Slides)

Session 8: 3.00pm ~ 4.30pm
Chair: Jeffrey Xu Yu

• 3.00pm ~ 3.45pm
  Ramamohanarao Kotagiri, University of Melbourne, Australia
  Title: Contrast Pattern Mining and Applications
• 3.45pm ~ 4.30pm
  Ning Zhong, Maebashi Institute of Technology, Japan
  Title: Multi-Aspect Human Brain Data Analysis Based on Brain Informatics Methodology (Slides)

Slides

• David Cheung, The University of Hong Kong
• Hillol Kargupta(Slides), University of Maryland, USA
• Jiming Liu, The Hong Kong Baptist University
• Vipin Kumar (Slides), University of Minnesota, USA
• Katharina Morik (Slides), University of Dortmund, Germany
• Gregory Piatetsky-Shapiro (Slides), KDnuggets, USA
• Geoff Webb (Slides), Monash University, Australia
• Xindong Wu (Slides), University of Vermont (USA) and The Hong Kong Polytechnic University
• Jeffrey Xu Yu (Slides), The Chinese University of Hong Kong