Handling Ambiguity Issues In The Process Of Finding Association Rules

Document Type : Primary Research paper


1 Assistant Professor Of Computer Science, H.H. The Rajah’s College (Autonomous), Pudukkottai, Tamil Nadu, India. (Affilitated To Bharathidasan University)

2 Assistant Professor Of Computer Applications, Bishop Heber College(Autonomous), Tiruchirappalli, Tamil Nadu, India.(Affilitated To Bharathidasan University)


Normally Association Rules Consider Only Items Enumerated In Transactions. Such Rules Are Termed As Positive Association Rules. In Case Of Negative Association Rules, They Too Consider The Same Items, But Also The Negated Items. While Performing Market-Basket Analysis, The Negative Association Rules Are Useful In To Identify Products That Conflict With Each Other Or Products That Complement Each Other. In This Paper The Two Main Issues In Generating Association Rules Are Addressed. One Is Minimizing Strong, Uninteresting Association Rules And The Other Is Identifying Misleading Association Rules With Strong Negative Correlation Between The Antecedents And Consequents. The Techniques Discussed In This Paper Are Found To Be More Effective And Precise. The Effectiveness Of The Mining Process Can Be Enhanced Significantly By Applying The Methods Discussed.