The Adaptability of Conventional Data Mining Algorithms through Intelligent Mobile Agents in Modern Distributed Systems
Intelligent mobile agents are today accepted as powerful
tools for data mining in a distributed environment. The use of
data mining algorithms further beefs up the intelligence in
software agents. Knowledge discovery and data mining
algorithms are applied to discover hidden patterns and relations
in complex datasets using intelligent agents. The distributed
computing provides remote communication, fault tolerance, high
availability and remote information access. The uses of intelligent
mobile agents using data mining algorithms make distributing
computing more popular and acceptable. This paper is about the
use of conventional data mining algorithms through intelligent
mobile agents in distributed systems.
Keywords: Data Mining, Distributed Systems, Multiagent System (MAS)
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ABOUT THE AUTHORS
Dost Muhammad Khan
(1) Assistant Professor, Department of Computer Science & IT, The Islamia University of Bahawalpur, Pakistan (2) PhD student, School of Innovative Technologies & Engineering, University of Technology, Mauritius
Nawaz Mohamudally
Associate Professor & Consultancy & Technology Transfer Centre, Manager, University of Technology, Mauritius (UTM)
Dost Muhammad Khan
(1) Assistant Professor, Department of Computer Science & IT, The Islamia University of Bahawalpur, Pakistan (2) PhD student, School of Innovative Technologies & Engineering, University of Technology, Mauritius
Nawaz Mohamudally
Associate Professor & Consultancy & Technology Transfer Centre, Manager, University of Technology, Mauritius (UTM)
