Distributed data mining for e-business
Information Technology and Management
Distributed data mining patterns and services: an architecture and experiments
Concurrency and Computation: Practice & Experience
| Hi-index | 0.00 |
This paper describes how distributed data mining models, such as collective learning, ensemble learning, and meta-learning models, can be implemented as WSRF mining services by exploiting the Grid infrastructure. Our goal is to design a general distributed architectural model that can be exploited for different distributed mining algorithms deployed as Grid services for the analysis of dispersed data sources. In order to validate our approach, we present also the implementation of two clustering algorithms on such architecture, and evaluate their performance.