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

• BRUTE FORCE

  try all possible feature subsets as input to data mining algorithm and measure the effectiveness of the algorithm with the reduced dataset

• EMBEDDED APPROACH

  Feature selection occurs naturally as part of the data mining algorithm

• FILTER APPROACH

  Features are selected before data mining algorithm is run

• WRAPPER APPROACHES

  A data mining algorithm can choose the best set of attributes

here a possible architecture for feature subset selection: