Title :
Normalization of interval symbolic data
Author :
Guo, Junpeng ; Li, Wenhua ; Cheng, Sue
Author_Institution :
Sch. of Manage., Tianjin Univ., Tianjin, China
Abstract :
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.
Keywords :
computational complexity; data mining; normal distribution; statistical analysis; symbol manipulation; Chinese stock market; arbitrary distribution; data mining; data set computational complexity reduction; interval symbolic data normalization; statistical analysis method; Control engineering; Data analysis; Data mining; Engineering management; Forward contracts; Packaging; Petroleum; Principal component analysis; Statistical analysis; Stock markets; Normalization; distribution; interval; symbolic data analysis;
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3671-2
Electronic_ISBN :
978-1-4244-3672-9
DOI :
10.1109/ICIEEM.2009.5344314
