The Extension Genetic Algorithms Based On The Matter Element

Data Mining is a course that draws the potential useful message and knowledge that people unknown in advance, from a large amount of, incomplete, having the noise, fuzzy, stochastic data where the message and knowledge hiding in. It is varied in the methods because of the different applications, In the commercial field, it does a procession of collecting, changing, analyzing and other model treatment to a large number of business data in the commercial database, drawing the key data of the auxiliary business decision from it, it can help enterprises to confirm the customer's characteristic, thus can offer pointed services to customer. For example, through the data mining, the enterprises can find the characteristic of customer who buy a certain goods, thus can sell them to those that have these characteristics but had not bought the same goods; If find the characteristic of the lost customer, then the enterprises can take the pertinence measure before the loss of those customers with the similar characteristic.This article with in the matter element expression method and the genetic algorithms code union carries on the description to enterprise's customer, then applies the connection function of the extension theory to carry on to subdivide the customers, then uses the heredity and the variation thought of the genetic algorithms to propose a new extension transformation method, to carry on a series of excavation and conversion processes to the customer's data, and explains this method's validity and the superiority through the example, to achieve to help the enterprise to subdivide the customers, to seek the marketing key point, to determine the effective marketing plan, as well as to excavate the new customer community.The extension genetic algorithms in this article is regarded as a new attempt to the data mining's application in the CRM, and has established the corresponding mathematical model, at the same time, this method manifests the thoughts that reduce data operation process, reduce the path finding data time, as well as give prominence tothe prominent key data category, and enriches the data mining method.