论文标题
部分可观测时空混沌系统的无模型预测
Conformance Checking for Trace Fragments Using Infix and Postfix Alignments
论文作者
论文摘要
与事件数据中记录的观察到的过程行为相关的一致性检查与整理建模的过程行为的交易。与参考过程模型相比，对齐是一种检测，本地化和量化过程执行（即痕迹）的最新技术。但是，对齐方式假设从头到尾或过程执行的前缀涵盖整个过程的完整过程执行。本文定义了Infix/Postfix对齐，提出了计算方法，并使用现实生活事件数据对其进行评估。
Conformance checking deals with collating modeled process behavior with observed process behavior recorded in event data. Alignments are a state-of-the-art technique to detect, localize, and quantify deviations in process executions, i.e., traces, compared to reference process models. Alignments, however, assume complete process executions covering the entire process from start to finish or prefixes of process executions. This paper defines infix/postfix alignments, proposes approaches to their computation, and evaluates them using real-life event data.
