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数据挖掘与宽带网络的运营

ata Mining’s Application in the Management of Wide Band

中文摘要英文摘要

通过对海量历史数据的有效挖掘,可以发现隐藏规律,进而在业务人员的识别下成为知识,为决策提供支持。本文来自作者在XX电信的项目工作实践;分析了宽带网络运营在电信业务中日益重要的作用;介绍了数据挖掘的常用聚类、分类和时序算法;并利用Microsoft提供的数据挖掘相关算法,对XX电信的宽带客户进行了聚类和细分;将细分结果有效的运用到宽带客户的流失预警中;对收入的走势进行了预测和验证,有很高的实用价值。

With the effective Mining of the historical Data, we could find the hidden rule, which is learned as the knowledge and play a important part in the decision-making. This paper is based on the actual work of the author, discussing the of heft the Wide Band in the telecom, Then by using the Data Mining tools of Microsoft, sorting the customer into several classes, then forecasting which customer will be lost with the use of sorting result; Finally making a time serial forecast for the income and validate the result.

周海河、杨忠、许杨、胡建华

通信

数据仓库数据挖掘聚类算法时序算法商业智能决策支持

Data-WarehouseDMClusterTime-seriesBIDecision-making

周海河,杨忠,许杨,胡建华.数据挖掘与宽带网络的运营[EB/OL].(2008-06-06)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/200806-121.点此复制

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