Automatic agent and data mining for e-commerce

Author

Willow, Charles C.

Author_Institution

Sch. of Bus. Adm., Monmouth Univ., West Long, NJ, USA

Volume

1

fYear

2005

fDate

4-6 April 2005

Firstpage

380

Abstract

One of the major problems of managing information systems for e-Commerce or m-Commerce is to estimate the memory utilization for its set of servers, among others. In particular, along with system security and fault tolerance, memory management is perhaps the most frequently observed challenge that the IS/IT manager faces on a daily basis. A framework for building an automated intelligent agent for memory management under the client-server architecture is suggested in this paper. Further, possible applications of the framework in terms of data mining are suggested.

Keywords

client-server systems; data mining; electronic commerce; fault tolerant computing; security of data; software agents; storage management; automated intelligent agent; automatic agent; client-server architecture; data mining; e-commerce; electronic commerce; fault tolerance; information systems; m-commerce; memory management; memory utilization; system security; Computer architecture; Data mining; Fault tolerant systems; Information management; Information security; Intelligent agent; Knowledge management; Management information systems; Marketing management; Memory management;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology: Coding and Computing, 2005. ITCC 2005. International Conference on

Print_ISBN

0-7695-2315-3

Type

conf

DOI

10.1109/ITCC.2005.95

Filename

1428491