We use cookies to collect statistics

We start using cookies when you continue to another page. You can decline data collection by clicking here. We will use a cookie to remember your choice.

If you wish to avoid cookies altogether, you must disable cookies in your browser settings. However, rejecting all cookies will result in losing some of the functionalities of the website.

Read more about the IT University's use of cookies.

Skip to content

Last updated on 2010-12-20Projects > 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.

Find this page Online

http://ai.itu.dk/Projects/MaDaMS project