English  |  正體中文  |  简体中文  |  Items with full text/Total items : 6498/11670
Visitors : 25620132      Online Users : 276
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/15877

Title: On the Discovery of Process Models from Their Instances
Authors: Hwang, San-Yih;Yang, Wan-Shiou
Contributors: 資訊管理學系
Keywords: Process discovery;Business process reengineering;Workflow management;Data mining
Date: 2002-12
Issue Date: 2013-03-27T06:47:35Z
Publisher: Elsevier
Abstract: A thorough understanding of the way in which existing business processes currently practice is essential from the perspectives of both process reengineering and workflow management. In this paper, we present a framework and algorithms that derive the underlying process model from past executions. The process model employs a directed graph for representing the control dependencies among activities and associates a Boolean function on each edge to indicate the condition under which the edge is to be enabled. By modeling the execution of an activity as an interval, we have developed an algorithm that derives the directed graph in a faster, more accurate manner. This algorithm is further enhanced with a noise handling mechanism to tolerate noise, which frequently occur in the real world. Experimental results show that the proposed algorithm outperforms the existing ones in terms of efficiency and quality.
Relation: Decision Support Systems, 34(1): 41-57
Appears in Collections:[資訊管理學系所] 期刊論文

Files in This Item:

File SizeFormat

All items in NCUEIR are protected by copyright, with all rights reserved.


DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback