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Application of Grey Relational Clustering and Data Mining in Data Flow of E-Commerce

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2 Author(s)
Qu Zhiming ; Sch. of Civil Eng., Hebei Univ. of Eng., Handan, China ; Liang Xiaoying

The data mining of E-commerce is to extract implicit, valuable business and understandable information from vast information to guide future business activities. As an important branch of data mining, grey relational clustering has become a hot research spot in the field of data mining because its form is simple, easy to be interpreted and understood, and it describes the important data relationship effectively from large databases in recent years. Through grey relational clustering, it is concluded that the intrinsic link among goods, goods sale and customer, is found out, which is of very important guiding significance for personalized commodity recommendation, enterprise market positioning and the corresponding invoicing strategy in e-commerce.

Published in:

Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on  (Volume:1 )

Date of Conference:

6-7 June 2009