Exploiting need of Service-Oriented Framework for Executing Data Mining Services

Weka4WS adopts the emerging Web Services Resource Framework (WSRF) for accessing remote data mining algorithms and managing distributed computations. The Weka4WS user interface is a modified Weka Explorer environment that supports the execution of both local and remote data mining tasks. Workflow environments are widely used in data mining systems to manage data and execution flows associated to complex applications. Weka, one of the most used open-source data mining systems, includes the Knowledge-Flow environment which provides a drag-and-drop inter-face to compose and execute data mining workflows. It allows users to execute a whole workflow only on a single compute on the basis of simplicity. We analyzes several aspects of distributed workflow execution in Weka4WS, a framework that extends Weka and its Knowledge Flow environment to exploit distributed resources available in a Grid using Web Service technologies and also some other workflows and design which is better in efficiency and work. We also discuss several architecture prospective for betterment.