Rule-based Classification in Data Mining

Rule-based Classification in Data Mining

Rule-based classification in data mining is a technique in which class decisions are taken based on various “if...then… else” rules. Thus, we define it as a classification type governed by a set of IF-THEN rules. We write an IF-THEN rule as:

“IF condition THEN conclusion.”

IF-THEN Rule

To define the IF-THEN rule, we can split it into two parts:

•Rule Antecedent: This is the “if condition” part of the rule. This part is present in the LHS(Left Hand Side). The antecedent can have one or more attributes as conditions, with logic AND operator.

•Rule Consequent: This is present in the rule's RHS(Right Hand Side). The rule consequent consists of the class prediction.

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