计算机科学 ›› 2018, Vol. 45 ›› Issue (8): 310-314.doi: 10.11896/j.issn.1002-137X.2018.08.056
• 交叉与前沿 • 上一篇
曹蕊, 方贤文, 王丽丽
CAO Rui, FANG Xian-wen, WANG Li-li
摘要： 条件非频繁行为是指带有属性值的频数较低事件轨迹所记录的行为。从记录的事件日志中挖掘条件非频繁行为是业务过程优化的主要内容之一。已有的方法删除低频次行为,较少考虑模块网间数据流角度下的条件非频繁行为。基于此,文中提出了基于通讯行为轮廓挖掘条件非频繁行为的方法。以模块网间的通讯行为轮廓理论为基础,首先,通过给定的业务过程源模型查找其可执行事件日志,并且找出频数较低的事件轨迹,添加相关属性及属性值,即可得到条件非频繁轨迹;其次,通过计算不同模块网间通讯特征的条件依赖数值,确定条件不频繁轨迹是否删除或保留,从而得到优化事件日志,进而挖掘出优化通讯模型;最后,通过仿真实验验证了该方法的可行性。
中图分类号:
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