Methods of Attribute Subset Selection
1. Stepwise Forward Selection. 2. Stepwise Backward Elimination. 3. Combination of Forward Selection and Backward Elimination. 4. Decision Tree Induction. All the above methods are greedy approaches for attribute subset selection.
Stepwise Forward Selection: This procedure start with an empty set of attributes as the minimal set. The most relevant attributes are chosen (having minimum p-value) and are added to the minimal set. In each iteration, one attribute is added to a reduced set.
Attribute Subset Selection in Data Mining
Attribute subset Selection is a technique which is used for data reduction in data mining process. Data reduction reduces the size of data so that it can be used for analysis purposes more efficiently.
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