论文标题
预测业务流程监控的深度学习：审核和基准测试
Deep Learning for Predictive Business Process Monitoring: Review and Benchmark
论文作者
论文摘要
对业务流程的预测监控涉及对业务流程中案件的预测。最近，深度学习技术的普及促进了基于这些技术的预测监测的不断增长的方法。但是，用于评估这些方法的过程日志和实验设置的高差异使得进行公平比较变得特别困难。此外，这也很难选择解决特定问题的最合适方法。在本文中，我们对使用深度学习来解决预测性监视任务的方法进行了系统文献综述。此外，我们对12种公开可用的过程日志的10种不同方法进行了详尽的实验评估。
Predictive monitoring of business processes is concerned with the prediction of ongoing cases on a business process. Lately, the popularity of deep learning techniques has propitiated an ever-growing set of approaches focused on predictive monitoring based on these techniques. However, the high disparity of process logs and experimental setups used to evaluate these approaches makes it especially difficult to make a fair comparison. Furthermore, it also difficults the selection of the most suitable approach to solve a specific problem. In this paper, we provide both a systematic literature review of approaches that use deep learning to tackle the predictive monitoring tasks. In addition, we performed an exhaustive experimental evaluation of 10 different approaches over 12 publicly available process logs.
