A growing attention has been directed to the study, development and application of data mining. As a result there is an urgent need for sophisticated techniques and tools that can be utilized to explore new fields of data mining, e.g. spatial data mining in the context of spatial-temporal characteristics, streaming data mining, biomedical data mining, etc. Our knowledge on data mining should also be expanded to new applications. The Fifth International Conference on Advanced Data Mining and Applications (ADMA2009)
aims at bringing together the experts on data mining from around the world, and providing a leading international forum for the dissemination of original research findings in data mining, spanning applications, algorithms, software and systems, as well as different applied disciplines with potential in data mining.
The proceedings of the conference will be published by Springer in its Lecture Notes in Computer Science series, and indexed by EI.
We invite authors to submit papers on any topics of advanced data mining and applications,including but not limited to:
Advanced Data Mining Topics
• 1. Grand challenges of data mining
• 2. Parallel and distributed data mining algorithms
• 3. Mining on data streams
• 4. Graph and subgraph mining
• 5. Spatial data mining
• 6. Text, video, multimedia data mining
• 7. Web mining
• 8. High performance data mining algorithms
• 9. Correlation mining
• 10. Bench marking and evaluations
• 11. Interactive data mining
• 12. Data-mining-ready structures and pre-processing
• 13. Data mining visualization
• 14. Information hiding in data mining
• 15. Security and privacy issues
• 16. Competitive analysis of mining algorithms

Data Mining Applications (applied data mining in following listed areas)
• 1. Database administration, indexing, performance tuning
• 2. Grid computing
• 3. DNA Sequencing, Bioinformatics, Genomics, and biometrics
• 4. Image interpretations
• 5. E-commerce and Web services
• 6. Medical informatics
• 7. Disaster prediction
• 8. Remote monitoring
• 9. Financial market analysis
• 10. Online filtering
• 11. Application of Data Mining in Education

Paper submission
Paper submission will be electronic through the ADMA2009 website. The paper should be in English and contain unpublished contributions to the data mining fields. The paper should not exceed 14 pages in LNCS (Lecture Notes in Computer Science) format.

Organization committee
General Co-Chairs:
Ronghuai Huang, Beijing Normal University, China
Qiang Yang, Hong Kong University of Science and
Technology, Hong Kong, China

Program Co-Chairs:
Jian Pei, Simon Fraser University, Canada
Xiaofeng Meng, Renmin University of China, China
João Gama, University of Porto, Portugal

Local Organization Chairs:
Guangzuo Cui, Beijing Normal University, China

Regional Organization Co-Chairs：
Xiaochun Cheng, Middlesex University in London, UK
Soon-Joo Hyun, Information and Communications University, Korea
Ah-Hwee Tan, Nanyang Technological University,Singapore