|
Title:
|
AN AUTONOMOUS DECISION SUPPORT SYSTEM PROTOTYPE FOR SUPLY MANAGEMENT IN E-COMMERCE SYSTEMS |
|
Author(s):
|
Bahar Gelmez , Mustafa Sancar , Guray Yilmaz , Akhan Akbulut |
|
ISBN:
|
978-972-8924-66-9 |
|
Editors:
|
Piet Kommers, Pedro Isaías and Nian-Shing Chen |
|
Year:
|
2008 |
|
Edition:
|
Single |
|
Keywords:
|
e-Commerce Systems, Intelligent Agents, Data Mining |
|
Type:
|
Poster/Demonstration |
|
First Page:
|
326 |
|
Last Page:
|
328 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
The aim of this work is to reduce the supply management problems of e-Commerce systems and to offer an autonomous
decision support system prototype. For this kind of architecture, operating intelligent agents that use data mining
algorithms is recommended. Agents, check the past selling data, forecast which products to be in stock and how much of
which product to be sold in further purchases and tell the amount of the product to be purchased to the system
administrator (manager). In the same way, agents take part actively in product and client management. |
|
|
|
|
|
|
