一种基于痕迹的新型采样方法,用于符合性检查
Heidy M Marin-Castro1, Miguel Morales-Sandoval2, José Luis González-Compean3
1Universidad de las Américas, Cholula, Puebla, Mexico.
PeerJ. Computer science
|February 3, 2025
概括
本研究引入了一种新的过程挖掘方法,用于对大型事件日志的合规性检查. 它使用一种代表性痕迹选择方法来降低计算成本,同时保持准确性.
科学领域:
- 数据科学数据科学数据科学
- 业务流程管理 业务流程管理
- 过程采矿采矿采矿
背景情况:
- 组织需要准确的业务流程执行和政策合规.
- 过程挖掘分析业务流程数据以进行改进.
- 合规性检查验证了与模型对比的真实过程行为.
研究的目的:
- 为了应对对大型事件日志的合规性检查的计算挑战.
- 为高效的合规性分析开发一种痕迹选择方法.
- 为了减少处理时间和计算成本而不会牺牲信心.
主要方法:
- 一种使用代表性痕迹采样的新型符合性检查方法.
- 使用统计指标将数据分散纳入.
- 基于分散的样本大小和痕迹选择标准的确定.
主要成果:
- 该方法有效地减少了处理时间和计算成本.
- 使用健身,精度,概括和处理时间指标进行验证.
- 在现实世界健康和合成事件日志上表现出有效性.
结论:
- 拟议的方法有效地处理大型事件日志中的合规性检查.
- 基于数据分散的痕迹选择为过程挖掘中的大数据挑战提供了可行的解决方案.
- 该方法保持对符合值的信心,同时提高性能.
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