过程挖掘领域的研究问题

1.Automated discovery of process models
自动发现流程模型

2.Conformance/compliance analysis
一致性/合规性分析

3.Construction of event logs
构建事件日志

4.Improving quality of event logs
提高事件日志的质量

5.Decision mining for processes
流程决策挖掘

6.Mining from non-process-aware systems / event streams
从非流程感知系统/事件流中挖掘

7.Multi-perspective process mining
多角度过程挖掘

8.Simulation/optimization and process mining
模拟/优化和过程挖掘

9.Predictive process analytics
预测性过程分析

10.Prescriptive process analytics and recommender systems
说明性过程分析和推荐系统

11.Privacy, security and ethics
隐私,安全和道德

12.Process model repair
流程模型修复

13.Process performance mining
流程性能挖掘

14.Process mining quality measures
过程挖掘质量衡量

15.Variants/deviance analysis and root-cause analysis
变异/偏离分析和根本原因分析

16.Visual process analytics
视化流程分析

17.Business Activity Monitoring and Business Intelligence
商业活动监控和商业智能

18.Business Process Management
业务流程管理

19.Operations Management and Lean Six Sigma
运营管理和

20.Process Performance Measurement
过程绩效评估

21.Process Reengineering
流程再造

22.Resource Management
资源管理

23.Risk Management
风险管理

24.Robotic Process Automation (RPA)
机器人过程自动化(RPA)

25.Sensors, Internet-of-Things (IoT) and wearable devices
传感器,物联网(IoT)和可穿戴设备

26.Specific domains such as accounting, finance, government, healthcare, manufacturing
特定领域,例如会计,金融,政府,医疗保健,制造业

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转载自blog.csdn.net/weixin_42253964/article/details/107630932