The Application of Data Mining in FFE of the Fashion Product Development

Author

Chen Xiaopeng ; Luo Yun ; Zhu Fanglong

Author_Institution

Sch. of Clothing, Zhongyuan Univ. of Technol., Zhengzhou, China

Volume

1

fYear

2010

fDate

29-31 Oct. 2010

Firstpage

215

Lastpage

217

Abstract

Aiming at providing support for fashion product development, the research analysed the Fuzzy Front End in fashion design and the processes of the pre-development in the industry. The functions of data mining and its applications in fashion product development were discussed. A case study was conducted based on the data mining of the 3-D body scan measurements. Principal component analysis, correlation analysis, and the optimal bandwidth selection in kernel density estimation were employed to establish the specification of pants for target consumers. It is concluded that the data mining is an important tool to transform the data into information helpful in making development decision and solving technology problems.

Keywords

clothing industry; data mining; decision making; fuzzy set theory; principal component analysis; product development; 3D body scan measurement; correlation analysis; data mining; development decision making; fashion design; fashion product development; fuzzy front end; kernel density estimation; optimal bandwidth selection; principal component analysis; Classification algorithms; Correlation; Data mining; Hip; Knee; Leg; Product development; Data mining; Fuzzy Front End; Product development;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Design (ISCID), 2010 International Symposium on

Conference_Location

Hangzhou

Print_ISBN

978-1-4244-8094-4

Type

conf

DOI

10.1109/ISCID.2010.71

Filename

5692702