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Regular version of the site

Book

Robust Data Mining

NY: Springer, 2013.
Xanthopoulos P., Pardalos P. M., Trafalis T. B.

Summarizes the latest applications of robust optimization in data mining.

An essential accompaniment for theoreticians and data miners Data uncertainty is a concept closely related with most real life applications that involve data collection and interpretation. Examples can be found in data acquired with biomedical instruments or other experimental techniques. Integration of robust optimization in the existing data mining techniques aims to create new algorithms resilient to error and noise.

Robust Data Mining