Title :
Analysis Methods of Workflow Execution Data Based on Data Mining
Author :
Lei, Feng ; Hexin, Chen
Abstract :
Exploring the trivial workflow data needs high performance data processing technology. In this paper we put forward analysis method of workflow execution data based on data mining. The main idea of it is to retrieve the workflow data to a data warehouse and adopt OLAP technology and data mining method to support customers to select different measures and view the corresponding data in different dimensions and different abstract levels, which is important for them to make decision.
Keywords :
data mining; data warehouses; decision making; workflow management software; OLAP technology; data mining; data processing technology; data warehouse; decision making; workflow execution data analysis; Convergence; Costs; Data mining; Fuels; Neural networks; Neurons; Optimized production technology; Pattern recognition; Signal processing algorithms; Solids; data mining; data warehouse; workflow data;
Conference_Titel :
Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3543-2
DOI :
10.1109/WKDD.2009.181
