An Agent Enriched Distributed Data Mining On Heterogeneous Networks

Abstract- Advances in computing and communication over wired and wireless networks have resulted in many pervasive distributed computing environments. Many of these environments have different distributed sources of voluminous data and multiple computing nodes. Analyzing and monitoring these distributed data sources require data mining technology designed for distributed applications. Distributed Data Mining (DDM) considers the Data Mining in a broader context where it pays careful attention to the distributed resources of data, computing and communication in order to consume them in a near optimal fashion. Distributed applications often download large amount of server resident information over a network, process it, and generate comparatively small amount of result data. If these applications are instead written using mobile agents (MAs), the agents can execute on server and access serve