Agent-based on-line analytical mining in CRM system

Author

Feng, Chen ; Cong, Wang ; Jie, Lin

Author_Institution

Dept. of Eng., Beijing Univ. of Posts & Telecommun., China

fYear

2005

fDate

19-22 March 2005

Firstpage

169

Lastpage

173

Abstract

The OLAM (on-line analytical mining) model based on agent is proposed in this paper, and a generalized data warehouse built on multi-bases cooperation technique is proposed, which makes DM applicable not only on structured data, but also on complicated data such as text, knowledge and so on. Furthermore, I apply the theory of Union-IADS to construct a data space that comprises the generalized data warehouse mentioned above and data marts. In the end, to build an intelligent CRM system, I integrate the agent-based OLAM model and the data space into a unifying framework, which is a new try on building a CRM system.

Keywords

customer relationship management; data mining; data warehouses; multi-agent systems; multivariable systems; agent-based online analytical mining; customer relationship management system; generalized data warehouse; intelligent autonomous decentralized system; multi-bases cooperation technique; Analytical models; Artificial intelligence; Customer relationship management; Data analysis; Data mining; Data warehouses; Delta modulation; Intelligent agent; Intelligent structures; Intelligent systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Networking, Sensing and Control, 2005. Proceedings. 2005 IEEE

Print_ISBN

0-7803-8812-7

Type

conf

DOI

10.1109/ICNSC.2005.1461181

Filename

1461181