FEATURE SUBSET SELECTION
the process of selecting a subset of attributes from the dataset, it could be used to
- remove redundant attributes
- remove irrelevant attributes
TYPES OF FEATURE SUBSET SELECTION
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BRUTE FORCE
try all possible feature subsets as input to data mining algorithm and measure the effectiveness of the algorithm with the reduced dataset
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EMBEDDED APPROACH
Feature selection occurs naturally as part of the data mining algorithm
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FILTER APPROACH
Features are selected before data mining algorithm is run
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WRAPPER APPROACHES
A data mining algorithm can choose the best set of attributes
here a possible architecture for feature subset selection:
