Research on the user behavior analysis based on improved Apriori
Jianliang Meng, Zhang Na · 2013
With the global economic development and the business data explosively increasing, analysis of user behaviors is paid more and more attention to. So what kind of data mining technology adopted to realize the user behavior analysis has become a research hotspot. Apriori algorithm is to mine association rules in the vast amounts of data and find the relationship between the data items. But its I/O is expensive and low efficiency, forming the performance bottleneck of the algorithm. This paper has adopted improved Apriori based on matrix to analyze the data. By comparing with the traditional Apriori algorithm, the improved algorithm has achieved obvious improvement both in running speed and excavating performance. In addition, it has set up a user behavior analysis system based on the algorithm, and briefly introduced its design.