Robust Data Mining

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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 aim to create new algorithms resilient to error and noise.

This work encapsulates all the latest a...

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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 aim to create new algorithms resilient to error and noise.

This work encapsulates all the latest a...

Read more
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  • Formats: pdf
  • ISBN: 9781441998781
  • Publication Date: 28 Nov 2012
  • Publisher: Springer New York
  • Product language: English
  • Drm Setting: DRM