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.