Data Mining Research on Time Series of E-commerce Transaction
Xiao Qiang, Ruichun He, Liao Hui · International Journal of u- and e- Service Science and Technology · 2014
In E-commerce, data mining can help the online customers accurately grasp the sellers' product sales, to improve the online product purchase rate. In this paper, the mining algorithm of E-commerce transaction based on time series is proposed, which analyzes the relationship between the density of E-commerce transaction recorders and product sales records in E-commerce sites by use of the method of Guass density function and slidingwindow. To examine the approach by MATLAB, illustration is provided to demonstrate the effectiveness of the algorithm