Intelligent profitable seller agent categorization and negotiation in E-Commerce by using data mining method

Author

Mazumdar, Bireshwar Dass ; Mishra, Kamal Sheel ; Basak, Swati

Author_Institution

Dept. of Comput. Sci., Sch. of Manage. Sci., Varanasi, Varanasi, India

fYear

2012

fDate

15-17 March 2012

Firstpage

601

Lastpage

606

Abstract

Multi agent system (MAS) model has been extensively used in the different tasks of E-Commerce such as customer relation management (CRM), negotiation and brokering. This paper presents Data Mining (DM) based seller agent categorization and a multi-attribute negotiation approach for negotiation between buyer and seller agents of same category provided by DM result. The paper also described a multi-attribute based utility model which is based on the price, response-time, and quality. In support of the presented approach a prototype system providing negotiation between buyer agents and seller agents has been reported.

Keywords

data mining; electronic commerce; multi-agent systems; CRM; MAS model; buyer agents; customer relation management; data mining method; e-commerce; intelligent profitable seller agent categorization; multi agent system model; multi-attribute based utility model; multi-attribute negotiation approach; price; quality; response-time; seller agents; Data mining; Data models; Delta modulation; Predictive models; Proposals; Time factors; B2C; C&RT; Data Mining (DM); E-Commerce agents; Multi-Agent; Negotiation;

fLanguage

English

Publisher

ieee

Conference_Titel

Recent Advances in Information Technology (RAIT), 2012 1st International Conference on

Conference_Location

Dhanbad

Print_ISBN

978-1-4577-0694-3

Type

conf

DOI

10.1109/RAIT.2012.6194597

Filename

6194597