Ding Qiu-lin

Application Research of Data Mining Architecture for Intelligent Decision

The large commercial transactions data implied lots of useful knowledge for business decisions, the hidden patterns and relationships could be found by data mining. This paper analyzed and pointed out the characteristics and the deficiency of the general architecture of the data mining, the general architecture of data mining was improved by the parallel processing technology and the results of data mining be saved. The parallel architecture of the data mining which made for business intelligence applications with the model storage was presented, and its characteristics were analyzed, the analysis showed that the parallel architecture of data mining has a possibility for business intelligence

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.