PAKDD 2009

The 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-09) is a major international conference in the areas of data mining and knowledge discovery. It provides an international forum for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition and automatic scientific discovery, data visualization, causal induction and knowledge-based systems. The conference calls for research papers reporting original investigation results and industrial track papers reporting real data mining applications and system development experience. A. Data Mining Foundations A1. �eoretic Foundations A2. Novel Algorithm A3. Association Rules A4. Classification and Ranking A5. Clustering A6. Text Mining A7. Machine Learning A8. Privacy Preserving Data Minig A9. Statistical Methods A10. Parallel and Distributed Data Mining A11. Interactive and Online Mining A12 .KDD Process and Human Interaction A13. Knowledge Management A14. Data and Knowledge Visualization B. Data Mining in Specialized Domain B1. High Dimensional Data B2. Temporal Data B3. Biomedical Domains B4. Dynamic Data Mining B5. Scientific Databases B6. Semi-structured/unstructured Data B7. Multimedia B8. Reliability and Robustness Issues B9. Integrated Media B10. Security and Intrusion Detection B11. Web Data and the Internet B12. Mining Trends, Opportunities or Risks B13. OLAP and Data Mining B14. Integration of Data Warehousing B15. Graphic Model Discovery B16. Software Warehouse and Software Mining This CfP was obtained from WikiCFP