Nirdizati：高级预测过程监控工具包
Nirdizati: an Advanced Predictive Process Monitoring Toolkit
摘要：
预测性流程监控是流程挖掘的一个领域，旨在使用事件日志中记录的过去流程执行来预测业务流程的正在执行在未来将如何发展。该领域最近的出版物表明，需要能够支持研究人员和用户分析，比较和选择最适合他们的技术的工具。Nirdizati是一个专门的工具，用于支持用户构建，比较，分析和解释预测模型，然后可以用于对正在进行的案例的未来进行预测。通过提供一组丰富的不同的最先进的方法，Nirdizati为BPM研究人员和从业者提供了一个有用的和灵活的工具，用于调查和比较预测过程监控技术。在本文中，我们提出了当前版本的Nirdizati，连同其架构，已开发，以提高其模块化和可扩展性。Nirdizati的功能丰富了其支持整个管道内的研究人员和从业人员构建可靠的预测过程监控模型的能力。
英文摘要：
Predictive Process Monitoring is a field of Process Mining that aims at predicting how an ongoing execution of a business process will develop in the future using past process executions recorded in event logs. The recent stream of publications in this field shows the need for tools able to support researchers and users in analyzing, comparing and selecting the techniques that are the most suitable for them. Nirdizati is a dedicated tool for supporting users in building, comparing, analyzing, and explaining predictive models that can then be used to perform predictions on the future of an ongoing case. By providing a rich set of different state-of-the-art approaches, Nirdizati offers BPM researchers and practitioners a useful and flexible instrument for investigating and comparing Predictive Process Monitoring techniques. In this paper, we present the current version of Nirdizati, together with its architecture which has been developed to improve its modularity and scalability. The features of Nirdizati enrich its capability to support researchers and practitioners within the entire pipeline for constructing reliable Predictive Process Monitoring models.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
