摘要
数据挖掘是致力于数据分析和理解、揭示数据内部蕴藏知识的技术.本文研究数据挖掘中的决策树算法,并利用经典的C4.5算法对网通公司业务数据进行挖掘,针对小灵通客户流失问题建立了客户流失预警模型并予以具体实现,以便为公司提供决策依据.
Data mining is a technique that aims to analyze and understand large source data and reveal knowledge hidden in the data. Algorithm of decision tree in data mining is studied in this paper, using C4. 5 algorithm in data mining for the history data of network communications corporation, which studies on Personal Handy-phone System customers attrition and makes a decision.
出处
《延边大学学报（自然科学版）》
CAS
2008年第2期138-141,共4页
Journal of Yanbian University（Natural Science Edition）
关键词
数据挖掘
决策树
C4.5算法
客户流失
Data mining
decision tree
C4.5 algorighm
customers attrition
