The tree techniques provide insights into the decision
making process[8]. The decision tree is efficient and is thus
suitable for large/small data sets. They are perhaps the most
successful exploratory method for uncovering deviant data
structure. Trees recursively partition the input data space in
order to identify segments where the records are
homogeneous.