Normalization of Interval Symbolic Data
As a new tool in data mining,symbolic data analysis (SDA) can not only decrease the computational complexity of huge data sets,but also master the property of the sample integrally. In many statistical analysis methods the sample data need to be normalized in advance. This paper focuses on the normalization of interval symbolic data. Firstly,on the assumption that all the individuals are uniformly distributed within the interval,the method of normalization of interval symbolic data is presented. Then,the method of normalization of interval symbolic data of arbitrary distribution is studied. For this purpose,the mean and variance of interval symbolic data is brought forward in advance. Finally,an example of evaluation on different financial stocks in Chinese stock market is given.
Normalization symbolic data analysis interval distribution
Junpeng Guo Wenhua Li Sue Cheng
School of Management,Tianjin University,Tianjin,China School of Information and Control Engineering,Weifang University,Weifang,China
国际会议
北京
英文
1769-1773
2009-10-21（万方平台首次上网日期，不代表论文的发表时间）