• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2007, Vol. 29 ›› Issue (12): 104-106.

• 论文 • 上一篇    下一篇

基于数据立方交互式多层次决策树挖掘功能实现及应用

王诚   

  • 出版日期:2007-12-01 发布日期:2010-05-30

  • Online:2007-12-01 Published:2010-05-30

摘要:

如何有效地了解从一个业务数据中究竟能够发现什么,如何有效地让有经验的用户参与并知道模式的探索,精练挖掘结果,便于从不同角度分析数据知识,从而高效得到新样 本的分类,提高分类准确率,是研究并实现数据挖掘功能有效性的重要一环。本文以电信渠道建设业务数据为应用环境,运用数据仓库技术和决策树归纳方法的结合来进行数
数据分析,从而实现交互式多层次的挖掘功能的实现。

关键词: 数据仓库 数据挖掘 决策树 交互式 多层次

Abstract:

How to know effectively what can be learned from data and to let experienced clients participate and under- stand the modes, to find out the results p recisely, to analyze the data from different angles,to get the categories of new sam- ples efficiently, and to elevate the accuracy of classification are a crucial link of studying and realizing the effectiveness of the data mining function. The paper analyzes data based on the channel of telecommunicat ion environment, applies the technology of data warehousing and the decision-tree conclusion method, and realizes the alternate and multilayer function  of data min- ing. [

Key words: data warehousing, data mining, decision tree, alternation, multilayer