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Practical Data Mining Workshop: Applications, Experiences and Challenges

  • September 05 2006, 1:00am EDT

Practical Data Mining Workshop: Applications, Experiences and Challenges will be held  September 22, 2006 in Berlin, Germany. The workshop in partnership with SAS Deutschland is to be held in conjunction with the 17th European Conference on Machine Learning and the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases.

 Business, government and science organizations are increasingly moving towards decision-making processes that are based on information. In parallel, the amount of data representing the activities of organizations that is stored in databases is also growing. Therefore, the pressure to extract as much useful information as possible from this data is very strong. Data and text mining (DTM) is essentially a technological field enabling the improvement of the aforementioned processes. DTM research is, thus, essentially geared towards practical problems and requires permanent feedback from practical applications.

Feedback from people with a business-oriented perspective on DTM is therefore useful to assess current research work and directions, to assess how theoretical results and methods developed in the lab stand the test of real world problems. And, not the least, to provide researchers with new challenges to work on.

Besides two excellent invited talks, you will learn about state-of-the-art applications in areas including marketing, economics, health care and law, presented by leading researchers and practitioners from universities and companies, such as Unilever, Capgemini, British Telecom, Inforsense and PowerHealth Solutions. A detailed program can be found at

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