Analysing methods of Workflow Execution on Data Mining

Abstract

In this paper we are analyzing the different methods of workflow execution. The paper provides an overview of the field of workflow mining, which involves the extraction of information from event logs to understand and improve business processes. The paper discusses the importance of workflow mining in the context of process improvement and optimization and discusses the various techniques and approaches that have been developed for this purpose. This paper discusses the various methods and techniques for optimizing workflow execution in data mining. The related work suggests that the choice of workflow execution method and platform should be carefully considered based on the specific requirements of the data mining project, including the size of the data set, the complexity of the workflow, and the available resources. Workflow management systems (WFMS) provide a framework for designing, executing, and monitoring data mining workflows, and can help to improve workflow efficiency and accuracy