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Last updated on 2020-08-20Projects > Massive Data Mining by Sampling

Massive Data Mining by Sampling 

The MaDaMS project (Massive Data Mining by Sampling) explores the possibilities in a new approach to massive data mining with origins in advanced sampling methods of data stream algorithmics. This happy marriage of efficient algorithms and statistical principles is the unifying idea of several recent successful research contributions of Algorithmic Intelligence researchers. In collaboration with external partners, the project focuses on three application areas with a common theoretical core: Financial modeling, recommendation systems, and genotype/phenotype mining.

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