Data Mining Association Rules In The Research And Application

Data Mining is a kind of technique that reveals potential useful knowledge from massive data intelligently. It has been in wide use in many fields, such as governments administer, scientific research, financial investment, and so on. The association rule mining is a main research aspect of data mining. And how to improve the efficiency of the algorithm is a key problem of the association rule mining.The most typical association rules mining algorithm is Apriori, which has been analyzed in the thesis. Apriori algorithm's idea is easy to work. But in the process of mining, it generates a huge number of candidate item sets as well as needs multiple scans over database. So the load of system is too high. According to the existing shortcoming of Apriori algorithm, we propose an algorithm to improve the mining efficiency. The results of experiments show that the algorithm can really work.