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Mission ICDM

This conference is the ninth conference in a series of industrial conferences on Data Mining that will be held on yearly basis always in connection with an international event on leading research topics in Data Mining.

People from industry and medicine can get educated on two levels in Data Mining. There will be a Basic Level describing what is Data Mining and where it can be used. The Advanced Level will give a more deeper inside into Data Mining method. The theory and concepts behind Data Mining methods will be described.

The tutorials will be organized in such a way that they will be attractive for new participants as well as for the participants from the previous conferences. Beyond this, experts from different fields will present their applications and the results obtained by applying data mining.

The social events will give you the opportunity to meet top leading researchers in Data Mining and Machine Learning from all over the world. In a problem/solution hour you will have the opportunity to present your application and ask for support by researchers.

Target groups ICDM

Branch: Industry

Database marketing companys, direct marketing companys, credit scoring service providers, marketing service providers, mailorderhouses, insurance companys, financial service providers marketing agenturen, e-commerce companys

Managers and specialists for analytical CRM, database marketing, sales, operations research, produktmanagement and IT

Branch: Medicine

Physicians and veterinarians, who have to convert subjective data (i.e. the colouring in histology and cytology) into objective clinical results.

Geneticists, who, in the scope of Genomics and Proteomics, have to detect the minority of disease-relevant data out of millions of poorly understood basis data.

Physicians, economists and lawyers engaged in politics and management, who have to develop new guidelines and payment directives in the framework of the health reform law and are to develop means of decision making, which are logically deducible from data bases, documents and pragmatic approaches.

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