DocumentCode :
3156151
Title :
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
Link To Document :
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