Deploying mobile agents in distributed data mining

Abstract

Mining information from distributed data sources over the Internet is a growing research area. The introduction of mobile agent paradigm opens a new door for distributed data mining and knowledge discovery applications. In this paper, we present the design of a mobile agent system, which couples a logic language based application programming interface for service discovery and database access. Our proposal aims at implementing system tools to enable intelligent mobile agents to search for distributed data services, to roams the Internet for accessing distributed data sites, to discover patterns and extract useful information from facts recorded in databases, to generate global data model through the communication and aggregation of local results, and to overcome the barriers posed by network congestion, poor security and unreliability. ©Springer-Verlag Berlin Heidelberg 2007.