摘要
客户价值的分析在现代企业中起着重要的作用,而分类算法在分析客户价值上是卓有成效的。决策树算法是分类算法中一类重要的算法,其中以C4.5算法最为流行,但是这种算法准确率性能方面还不是很理想。在C4.5算法的基础之上引入推进技术,改善了C4.5算法的准确率性能。实验证明,用改进后的C4.5算法分析超市客户数据,其算法的准确率高于原算法,增强了决策的可信度。
<Abstrcat> The key to the management of a modern company is the customer value analysis. The classification algorithm can deal with this analysis very well. The Decision Tree Algorithm, especially C4.5, is an important kind of classification algorithm. However, C4.5 Algorithm has some shortcomings in accuracy. An improved and C4.5 based algorithm is introduced by adding boosting techniques, which thus improves accuracy. The paper uses the new algorithm to analyze supermarket customer data. The experiment proves that the accuracy of the improved algorithm is better than C4.5.
出处
《桂林电子工业学院学报》
2005年第3期52-55,共4页
Journal of Guilin Institute of Electronic Technology
关键词
分类
客户价值分析
决策树
推进
classification, customer value analysis, decision tree, boosting
