Application Research of Association Analysis in Business Intelligence

A great deal of business transaction data implicit much of useful knowledge for business decision, but data mining can find out the hidden pattern and relationships. This paper presents the algorithm of association rules mining and analyzes the inconsistent support constraint strategy mostly. And then analyzes the relationship between the minimum support and the maximal reliability. Present a new evaluation method to reflect the association rules. Finally, connecting with the concrete examples, the transaction data were association analyzed, some rules with lower reliability and support were found, but these still have better application value.