The Application of Clustering Mining Technology in E-Commerce Website
Bin Li, Yeh-Cheng Chen · 2018
Data Mining Technology is a new information processing technology. It aims to extract the potential and valuable data regularity or data model from mass data. In order to offer individual service to different kinds of clients, we can use data mining technology to analyze the data from e-commerce website, combining the customer relationship management strategy, to establish the customer feature models reflecting customer's personality traits and service mechanism for dynamic adaptability. The paper aims to apply clustering technology into e-commerce website. To realize the customer classification with clustering technology by establishing commercial database, getting customer clustering vector by frequent item sets, calculating the dissimilarity matrix of customers.