| Description: |
The notion of feature construction subsumes methods for adding new
attributes to a dataset, constructed on the basis of given data and
maybe prior knowledge about the domain.
The aim of feature constructing is to provide learning algorithms with
information of higher relevance, in order to achieve better learning
results.
For a more detailed discussion, please refer to the case studies, especially to
data
design and
data cleansing.
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