The Studing on the Interesting Measures of Mining Association Rules in Data Mining
Mining association rules is an important aspect of the study of data mining,and one of the important problems is the evaluation of interestingness of the discovered rules.Past research has found that in many real-life applications it is easy to generate a large number of rules from databases.But most of them are not useful or interesting to the user.Two aspects ofthe measures ofinterestingness are discussed in this paper.Such measures ofinterestingness are divided into objective measures and subjective measures.At last the paper introduces how to mining interesting rules in databases through templates.