Title :
Study on Data Enriching Algorithm Based on Rough Set in E-commerce
Author :
Cheng, Yang ; Li, Zhishu ; Zhou, Peng ; Chai, Sheng ; Zhou, Wei
Author_Institution :
Coll. of Comput. Sci., Sichuan Univ., Chengdu
Abstract :
Data enriching theories of commercial information are studied. The data enriching algorithm is defined: the optimization discernibility set is acquired by improving discernibility matrix first, and then the algorithm is called recursively by using frequency information of attribute, finally the enriching attribute set is found out. The algorithm is applied to data enriching of user access patterns in e-commerce, the theoretic analysis and simulation instance shows that this algorithm is feasible and effective in practice.
Keywords :
data handling; electronic commerce; rough set theory; data enriching algorithm; discernibility matrix; e-commerce; optimization discernibility set; rough set; Algorithm design and analysis; Analytical models; Computer security; Data security; Educational institutions; Electronic commerce; Frequency; Information security; Information systems; Pattern analysis; E-commerce; data enriching; rough set;
Conference_Titel :
Electronic Commerce and Security, 2008 International Symposium on
Conference_Location :
Guangzhou City
Print_ISBN :
978-0-7695-3258-5
DOI :
10.1109/ISECS.2008.139
