Analysis Of Customer Value Based On K-Means Clustering

From the 1990 s to now,Internet technology is growing faster and faster,the marketing focus of many companies has to transform from products to the customer.The core of the enterprise's success and getting the maximum profit lies in the customers.Therefore,the majority of companies and enterprises have been putting the establishment and perfecting of the marketing system which focus on the customer on the agenda,and put it as an important part of corporate strategy.In order to establish and perfect a marketing system like that,the customer segmentation is the most critical and most important step.Customer segmentation uses the popular data mining technology to find the potential customer characteristic,and according to the characteristics extracted to classify customers,which can provide customized service for different customers according to the different needs of the customers.According to the theories and methods of the customer segmentation,with the help of K-Means clustering algorithm,I establish a customer segmentation model,and on the basis of the model,I make accurate and effective customer segmentation of airline customer,which can provide the theory,technology and method for customer segmentation problem in the research fields of airlines,at the same time,provide some technical support for the customer relationship management of aviation related enterprises.