摘要
该文针对数据挖掘前期的数据预处理中数据观察和理解的灵活性不足开发周期长的问题,引入统计性语言R语言来开发数据预处理中需要实现的功能,搭建了数据预处理的流程结构,并将数据挖掘中的聚类算法,决策树算法引入前期的数据分析中来,这套应用系统能够方便快捷的观察数据并且根据实际需求来处理数据。最后使其处理电信公司的用户数据,取得了良好的效果。
In terms of the problems rise in the pre-process of data mining's prophase,there is some static language,i.e.the R Language,introduced to realize some necessary functions in the data pre-process,including too long development period and inadequate flexibility on data observation and understanding.The whole application system is not only able to observe data fast and conveniently,but also process the data according to the actual demands.At last,it's convinced that it's liable to dispose users' data of Telecom and obtain a favorable result by adopting this system.
出处
《杭州电子科技大学学报(自然科学版)》
2012年第6期165-168,共4页
Journal of Hangzhou Dianzi University:Natural Sciences
关键词
数据预处理
数据挖掘
统计语言
data preprocessing
data mining
statistical language