Lili Bao
ABSTRACT
As a separation and analysis technique, chromatography is widely used due to its high separation efficiency, fast speed, and high sensitivity. However, in practical applications, the characteristic variables are interrelated, and single, non-informational characteristic variables are interrelated are combined to represent the question under study. Therefore, this paper proposes a feature selection algorithm based on correlation features and maximum information coefficient (MICCOR). This algorithm uses a combination of linear correlation features to expand the information search space. These problems can be solved by selecting informative feature variables. at the same time, This paper analyzes the characteristics of big data and the methods and technical bottlenecks faced by statistics under the background. It expounds the relationship between chromatographic economic analysis and statistics and some functions that statistics needs to deal with big data due to its unique analytical functions and technical means. After further introducing the basic concept and theory of chromatographic economic analysis, taking consumer behavior analysis as an example to demonstrate the basic process of chromatographic economic analysis, and looking forward to the application prospect of chromatographic economic analysis as an innovative method of statistics in big data.
- Zhu Jianping Analysis of data analysis concepts in the era of big Data [J]. Statistical Research, 2014(2): 10-17.Google Scholar
- Ma Jie. Application of Statistical Methods in Data Mining [J]. Success, 2013(7).Google Scholar
- Li Guo-jie. The scientific value of Big Data Research [J]. Communication of China Computer Society, 2012, 8(9).Google Scholar
- You Junjun, Zhang Pei, Yao Xuemei. Challenges and Opportunities of Big Data to Statistics [J]. Luo Jia Management Review, 2013(1).Google Scholar
- Ye Mingming, Huang Shu. Development Status and International Comparison of the frontier of Statistics [J]. Statistical Research, 2013, 30(9).Google Scholar
- Su L Q. Chromatography [M]. Beijing: Tsinghua University Press. (in Chinese), 2009.Google Scholar
- Da Shilu. Introduction to Chromatography [M]. Wuhan: Wuhan University Press, 1999.Google Scholar
- You Soldier, Su Zhenghua, Su Xijian, Zhang Xinyuan. Study on the Mechanism of Signal.Google Scholar
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