A Novel Open Service Framework Mining (OSFM) for Executing Data Mining Tasks

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Provided by: ACCENTS
Topic: Data Management
Format: PDF
Data mining services on grids is the need of today's era. 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. There are several workflows in today's scene. Most data mining workflows include several independent branches that could be run in parallel on a set of distributed machines to reduce the overall execution time. In this paper, the authors proposed a novel Open Service Framework Mining (OSFM) for executing data mining tasks.
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