How Distributed Data Mining Tasks can Thrive as Services on Grids

Through a service-based approach it is possible to define services for supporting distributed and pervasive business intelligence applications in Grids. Those services can address all the tasks needed in data mining and in knowledge discovery processes starting from data selection and transport, to data analysis, knowledge models representation and visualization. By exploiting the Grid services features it is possible to develop data mining services accessible every time and everywhere by providing a sort of knowledge discovery ecosystem formed of a large numbers of decentralized data analysis services. We worked in this direction by providing Gridbased architectures and services for distributed and pervasive knowledge discovery. This paper discusses how Grid frameworks can be developed as a collection of Grid services and how they can be used to develop distributed data analysis tasks and knowledge discovery processes using the SOA model.