Apriori algorithm in the improvement and implementation of e-commerce based on data mining

Gan Tao

COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12C) 154-159

Zhoukou Normal University, Henan Province, China

With the rapid development of e-commerce business traffic increases rapidly. The traditional technology and infrastructure, it is hard to meet the increasing data management and rational utilization. E-commerce businesses overcome difficult, using data mining tools of implicit rule algorithm in the data mining, look for opportunities. Study a recommendation system using data mining algorithm is improved Apriori algorithm of association rules technology the most classic. Experimental results show that the improved Apriori algorithm efficiency is improved, the processing time in support of smaller more obvious.