Key Problems of the Data Mining Application in Fiber Network and Implement

摘要：

The teleeom industry is a typical data denseness industry.Data Mining technology could offer decision making support for the telecom merchants next scheme.This paper is about the key problems of the data mining application in the fiber network and the methods of achievement.We will explain it through two examples,the one is to use the algorithm of related regulation excavation to analyze the telecom alarm data.In practical work,it will help the telecom administration department to make prognostic alarm and deal with the obstacles rapidly,the another one is to use the most common used Dijkstra algorithm in shortcut algorithm about the single source point to analyze the roblem of the random two nodes shortest path in fiber network,and draw the flow chart of the algorithms implement.

关键词： Data Mining related regulation algorithm Dijkatra algorithm Fiber Network

作者: Funing Yang Yongjian Yang Zhizhong Tian

作者单位: College of Software,Jilin University,Changchun,Jilin,130012,China

会议类型: 国际会议

会议名称: 2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)

会议地点: 大连

会议语种:英文

页码: 391-395

在线出版日期: 2008-07-27（万方平台首次上网日期，不代表论文的发表时间）