Program Survey
World Congress DSA 2012
Program World Congress DSA 2012
| Friday July 13, 2012 |
Saturday July 14, 2012 |
Sunday July 15, 2012 |
Monday July 16, 2012 |
Tuesday July 17, 2012 |
Wednesday July 18, 2012 |
Thursday July 19, 2012 |
Friday July 20, 2012 |
Saturday July 21, 2012 |
|---|---|---|---|---|---|---|---|---|
| 9:00 am - 4:00 pm | 9:00 am - 4:00 pm | 9:00 am - 4:00 pm | 9:00 am Opening of World Congress |
9:00 am - 4:00 pm | ||||
| Tutorial Day | Tutorial Day | Tutorial Day | ICDM 2012 "Multimedia Data Mining", "Data Mining in Agriculture" |
ICDM 2012 "Theoretical Aspects of Data Mining", "Data Mining in Marketing", "Aspects of Data Mining" |
ICDM 2012 "Data Mining in Medicine", "Theoretical Aspects of Data Mining" |
ICDM 2012 "Data Mining in Telecommunications", "WebMining/ Information Mining" |
ICDM 2012 "Data Mining for Industrial Processes", "Data Warehousing" |
Tutorial Day |
| Intelligent Image Interpreation and Computer Vision in Mediceine, Biotechnology,
Chemistry & Food Industry
Prof. Dr. Petra Perner |
Case-Based Reasoning
Prof. Dr. Petra Perner |
Data Mining
Prof. Dr. Petra Perner |
MDA 2012 "Spectroscopy", "Medical Diagnosis and Web-based Medical Diagnosis" |
MDA 2012 "Heart and Cardial Diagnosis" |
MDA 2012 "Medical Image Analysis and Interpretation" |
Workshops of ICDM: DMLS 2012 DMM 2012 CBR-MD 2012 DMA 2012 |
Case-Based Reasoning
Prof. Dr. Petra Perner |
|
| Standardization in Immunofluorescence
ImageInterpret GmbH |
MLDM 2012 "Time Series and Frequent Item Set Mining", "Classification and Decision Theory" |
MLDM 2012 "WebMining/ Information Mining", "Applications in Medicine" |
MLDM 2012 "Clustering", "Machine Learning and Image Mining" |
MLDM 2012 "Aspects of Machine Learning and Data Mining" |
MLDM 2012 "Theory of Learning" |
|||
| Registration Welcome Reception |
Muscle Plenary Meeting | Banquet | Best Paper Award MDA 2012 | Best Paper Award MLDM and ICDM 2012 | ||||
| Poster Session MLDM | Poster Session ICDM | Podiums Discussion
"Benefits of WebMining and Online Targeting" |
Discussion and Outlook of Research in Machine Learning and Data Mining | End of World Congress |
