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首页> 外文会议>International conference on graphic and image processing >Process Mining Techniques: An Application to Time Management
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Process Mining Techniques: An Application to Time Management

机译：流程挖掘技术：在时间管理中的应用

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In an environment people have to make sure that all of their work are completed within a given time in accordance with its quality. In order to achieve the real phenomenon of process mining one needs to understand all of these processes in a detailed manner. Personal Information and communication has always been a highlighting issue on internet but for now information and communication tools within factual life refers to their daily schedule, location analysis, environmental analysis and, more generally, social media applications support these systems which makes data available for data analysis generated through event logs, but also for process analysis which combines environmental and location analysis. Process mining can be used to exploit all these real live processes with the help of the event logs which are already available in those datasets through user censored data or may be user labeled data. These processes could be used to redesign a user's flow and understand all these processes in a bit more detailed manner. In order to increase the quality of each of the processes that we go through our daily lives is to give a closer look to each of the processes and after analyzing them, one should make changes to get better results. On the contrarily, we applied process mining techniques on seven different subjects combined in a single dataset collected from Korea. Above all, the following paper comments on the efficiency of processes in the event logs referring to time management's sphere of influence.
机译：在一个环境中，人们必须确保根据质量确定在给定时间内完成所有工作。为了实现过程挖掘的真实现象，需要详细了解所有这些过程。个人信息和通信一直是Internet上的一个突出问题，但就目前而言，事实生活中的信息和通信工具指的是他们的日程安排，位置分析，环境分析，并且更普遍地，社交媒体应用程序支持这些系统，从而使数据可用于数据通过事件日志生成的分析，也可用于结合环境和位置分析的过程分析。借助事件日志，可以使用流程挖掘来利用所有这些实际的实时流程，这些事件日志已经通过用户审查的数据在那些数据集中可用，或者可以是用户标记的数据。这些过程可用于重新设计用户流程并以更详细的方式理解所有这些过程。为了提高我们日常生活中每个流程的质量，请仔细查看每个流程，并在对其进行分析之后，应进行更改以获得更好的结果。相反，我们将过程挖掘技术应用于从韩国收集的单个数据集中组合的七个不同主题上。最重要的是，以下论文对事件日志中流程的效率进行了评论，涉及时间管理的影响范围。

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