WORKFLOW MINING: EXTENDING THE α-ALGORITHM TO MINE DUPLICATE TASKS

摘要：

Designing a workflow model is a complicated, time-consuming and error-prone process. A possible solution is workflow mining which extracts workflow models from workflow logs. Considerable researches have been done to develop heuristics to mine event-data logs in order to make a workflow model. However, if there are cyclic tasks in workflow traces, the current research in workflow mining still has problems in mining duplicate tasks. Based on the α-algorithm, an improved workflow mining algorithm called α＃-algorithm is presented. The complete experiments have been done to evaluate the proposed algorithm.

关键词： Workflow mining duplicate tasks cyclic tasks workflow model

作者: CHUN-QIN GU HUI-YOU CHANG YANG YI

作者单位: Department of Information Science and Technology, Sun Yat-Sen University, Guangzhou 510275, China School of Software, Sun Yat-Sen University, Guangzhou 510275, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 361-368

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）