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数据挖掘技术在经营分析系统中的应用

The Application of Data Mining Technology in Bussiness Analysis

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【作者】 孙晓健

【Author】 (Dept. of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai 200030)Sun Xiaojian (Jiangsu Telecom Company Limited,Wuxi Branch, Wuxi 214001)Sun Xiaojian

【机构】 上海交通大学计算机科学与工程系

【摘要】 数据挖掘技术是对海量数据进行分析和信息提取的重要工具。本文首先介绍了数据挖掘的基本概念和相关知识。然后结合电信的具体行业特点,建立了一个基于数据挖掘的系统(MDMS),并对该系统的结构、模块组成等问题进行了深入的讨论。文中详细介绍了该系统中关联规则挖掘技术、分类模型挖掘技术和聚类分析技术等关键技术的实现。最终对该系统在电信运营过程中所起的作用作了一个总评。

【Abstract】 The data mining system is an important tool for carrying on and analysis the magnanimous data. This paper first introduced the basic concept and the related knowledge of data mining. Then combined the telecommunication concrete profession characteristic, has established a Mobile Data Mining System (MDMS), and discussed the system architecture, module composition and so on in details. In addition, this article also introduce some critical technologies in this system such as association rule technology, the classified model mining technology and clustering analysis technology. Finally the role which played in the telecommunication operation process has made a general appraisal.

【基金】 国家自然科学基金(60472058)
  • 【分类号】TP311.13
  • 【被引频次】19
  • 【下载频次】247
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