摘要
本文重点研究了数据挖掘的预处理环节。以某中型城市移动通信运营商的业务数据为对象,运用相关分析方法对数据进行了分析和处理,确定哪些属性可以进行合并,既减少需要处理的数据量,又使得一些绝对值较小的数据在合并中增大,优化分析效果,减小分析难度。
This paper focuses on the research of data preprocessing in data mining. Experiments are carried out on the transaction data of Mo- bile Communication Operator in a medium-sized city. During the process of data analyzing and processing, correlation analysis method is used in order to identify which attributes could be integrated. In this process, data scale is reduced enormously and data with relatively small absolute value increases in the integration. Consequently, optimization of analysis result is reached and analysis difficulty has been reduced greatly.
出处
《技术经济与管理研究》
2008年第4期12-15,共4页
Journal of Technical Economics & Management
基金
新世纪优秀人才支持计划(NCET-05-0097)
关键词
数据挖掘
数据预处理
相关分析
Data Mining
Data Preprocessing
Correlation Analysis
