NICE: The Native IoT-Centric Event Log Model for Process Mining

被引：1

作者：

Bertrand, Yannis ^{[1
]}

Veneruso, Silvestro ^{[2
]}

Leotta, Francesco ^{[2
]}

Mecella, Massimo ^{[2
]}

Serral, Estefania ^{[1
]}

机构：

[1] Katholieke Univ Leuven, Res Ctr Informat Syst Engn LIRIS, Warmoesberg 26, B-1000 Brussels, Belgium

[2] Sapienza Univ Roma, Rome, Italy

来源：

PROCESS MINING WORKSHOPS, ICPM 2023 | 2024年 / 503卷

关键词：

Process Mining; Event Logs; IoT; Standard Format;

D O I：

10.1007/978-3-031-56107-8_3

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

More and more so-called IoT-enhanced business processes (BPs) are supported by IoT devices, which collect large amounts of data about the execution of such processes. While these data have the potential to reveal crucial insights into the execution of the BPs, the absence of a suitable event log format integrating IoT data to process data greatly hampers the realisation of this potential. In this paper, we present the Native Iot-Centric Event (NICE) log, a new event log format designed to incorporate IoT data into a process event log ensuring traceability, flexibility and limiting data loss. The new format was linked to a smart spaces data simulator to generate synthetic logs. We evaluate our format against requirements previously established for an IoT-enhanced event log format, showing that it meets all requirements, contrarily to other alternative formats. We then perform an analysis of a synthetic log to show how IoT data can easily be used to explain anomalies in the process.

引用

页码：32 / 44

页数：13

共 46 条

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