An architecture to support distributed data mining services in e-commerce environments

Author

Krishnaswamy, S. ; Zaslavsky, A. ; Loke, S.W.

Author_Institution

Sch. of Comput. Sci. & Software Eng., Monash Univ., Clayton, Vic., Australia

fYear

2000

fDate

2000

Firstpage

239

Lastpage

246

Abstract

This paper presents our hybrid architectural model for distributed data mining (DDM), which is tailored to meet the needs of e-businesses in which application service providers sell DDM services to e-commerce users and systems. The hybrid architecture integrates the client-server and the mobile agent technologies. This model focuses on the optimisation and costing issues of DDM, which are particularly relevant in the context of billing users for data mining services

Keywords

client-server systems; data mining; electronic commerce; invoicing; software agents; application service providers; billing; client-server technology; costing; distributed data mining; e-business; e-commerce environments; hybrid architectural model; mobile agent technology; optimisation; Application software; Application specific processors; Computer architecture; Computer science; Costs; Cyclic redundancy check; Data mining; Distributed decision making; Packaging; Software engineering;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Issues of E-Commerce and Web-Based Information Systems, 2000. WECWIS 2000. Second International Workshop on

Conference_Location

Milpitas, CA

Print_ISBN

0-7695-0610-0

Type

conf

DOI

10.1109/WECWIS.2000.853881

Filename

853881