From “Clothing Standard” to “Chemometrics”

Ping He (), Xiaoling Peng () and Qingsong Xu ()
Additional contact information
Ping He: Beijing Normal University and Hong Kong Baptist University United International College
Xiaoling Peng: Beijing Normal University and Hong Kong Baptist University United International College
Qingsong Xu: Central South University, Department of Mathematics and Statistics

Chapter Chapter 3 in Contemporary Experimental Design, Multivariate Analysis and Data Mining, 2020, pp 37-48 from Springer

Abstract: Abstract This paper reviews Prof. Kai-Tai Fang’s contributions in data mining. Since the 1970s, Prof. Fang has been committed to applying statistical ideas and methods to deal with large amounts of data in practical projects. By analyzing more than 400,000 pieces of data, he found representative clothing indicators and established the first adult clothing standard in China; through cleaning and modeling steel-making data from steel mills all over the country, he revised the national standard for alloy structural steel; by studying various data in chemometrics, he introduced many new advanced statistical methods to improve the identification and classification of chemical components, established more effective models for the relationship between quantitative structure and activity, and promoted the application of the traditional Chinese medicine (TCM) fingerprint in TCM quality control. Professor Fang and his team’s research achievements in data mining have been highly appreciated by relevant experts. This article is written to celebrate the 80th birthday of Prof. Kaitai Fang.

Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-46161-4_3

Ordering information: This item can be ordered from
http://www.springer.com/9783030461614

DOI: 10.1007/978-3-030-46161-4_3

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().