Title :
Knowledge Acquisition in Incomplete E-Commerce Information Systems
Author :
Zhai, Kun ; Lian, Zhengguo
Author_Institution :
Qingdao Agric. Univ., Qingdao, China
Abstract :
Due to rampant existence of missing values in E-commerce information systems, the research on knowledge acquisition in incomplete E-commerce information systems becomes necessary. In this paper, a novel method of rough reduction is proposed to obtain the latent knowledge in incomplete E-commerce information systems. By constructing the discernibility matrix, the useful knowledge can finally be extracted from incomplete E-commerce information systems.
Keywords :
electronic commerce; information systems; knowledge acquisition; matrix algebra; rough set theory; discernibility matrix; incomplete E-commerce information system; knowledge acquisition; rough reduction; Business; Cities and towns; Data mining; Information systems; Process control; Rough sets; incomplete information system; knowledge reduction; rough sets;
Conference_Titel :
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2010 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8664-9
DOI :
10.1109/ICSEM.2010.127
