IoT-enriched event log generation and quality analytics: a case study

IF 1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
J. Grüger, Lukas Malburg, Ralph Bergmann
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引用次数: 1

Abstract

Abstract Modern technologies such as the Internet of Things (IoT) are becoming increasingly important in various fields, including business process management (BPM) research. An important area of research in BPM is process mining, which can be used to analyze event logs e.g., to check the conformance of running processes. However, the data ingested in IoT environments often contain data quality issues (DQIs) due to system complexity and sensor heterogeneity, among other factors. To date, however, there has been little work on IoT event logs, DQIs occurring in them, and how to handle them. In this case study, we generate an IoT event log, perform a structured data quality analysis, and describe how we addressed the problems we encountered in pre-processing.
物联网丰富的事件日志 生成与质量分析:一个案例研究
摘要物联网(IoT)等现代技术在各个领域变得越来越重要,包括业务流程管理(BPM)研究。BPM中的一个重要研究领域是流程挖掘,它可以用于分析事件日志,例如检查正在运行的流程的一致性。然而,由于系统复杂性和传感器异质性等因素,物联网环境中摄入的数据通常包含数据质量问题(DQI)。然而,到目前为止,关于物联网事件日志、其中发生的DQI以及如何处理它们的工作很少。在本案例研究中,我们生成物联网事件日志,执行结构化数据质量分析,并描述我们如何解决预处理中遇到的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IT-Information Technology
IT-Information Technology COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
3.80
自引率
0.00%
发文量
29
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