A New Hierarchical Optimization Model Based on Mobile Agent for Distributed Data Mining

For large-scale distributed data sets, a new hierarchical mining model based on mobile agent is proposed to perform distributed mining tasks. Based on hierarchical idea, the proposed approach integrates multiple local results using mobile agent and incremental optimization. The experimental results demonstrate that the proposed approach is scalable and particularly suited to large-scale distributed environments. In addition, the proposed model can reduce dramatically communication cost based on network characteristics.