Title :
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
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;
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
DOI :
10.1109/WECWIS.2000.853881
