The Decision Tree Algorithm Research Of Data Mining In The Customer Drain

The appearance of Internet is greatly changing the way people obtain the information. The phenomenon of the lonely information island is also growing for the changes.Data Mining means taking out the potential unkown information, mode and trend from the data, in order to improve the ability of market-decision, abnormity-test mode, predict the tend in future on the base of experience in the past. It devotes to digital analysis and understanding, finding potential technology in the data. This has become major object on apply of information and technology. Data Mining has produced many new concepts and methods for 20 years development. Especially in recent years, some basic concepts and methods tend to clearness and the research on it is developing in a more deep direction.Classification is a very important method of Data Mining, and it is often used in prediction of data, including Decision tree , Bayesian Methods, Inheritable Calculation and Rough Set. Decision tree study is a kind of concluding study method on the base of examples. It concentrates the classifying method with which the expressing forms are reasoned out from a group of disorder examples. It applies the extending concluding method from the top to the bottom, which means comparing the value at the ending-point of the digital tree, concluding at the leave-point of the tree according to different values to judge the branch.This essay is researching the Decision Tree Algorithm of Data Mining and the use in the Customer Drain analysis. At the beginning, the basic concept of Data Mining is introduced, and several Classification methods of decision tree are elaborated in detail, including ID3 algorithmic method which means dividing nodes on entropy attribute, C4.5 algorithmic method which could deal with the continuous attribute and absent value. Then the thesis gives a improved method of the C4.5 and researches its characteristics. At the end, customer drain analysis of PHS (Personal Handy-Phone System), resulting of the serious competition in the telecom field, is a express problem with practical meaning. This essay uses the decision tree to analyze the customer drain of the PHS in the field of telecommunication, including building mode, issue, compare, analysis, and reasoning conclusion with SAS. It has been carried on a deep exploration and attempt in this paper on the commercialized application of the theoretical knowledge.