Extracting Event Logs for Process Mining from Data Stored on the Blockchain

被引:24
|
作者
Muehlberger, Roman [1 ]
Bachhofner, Stefan [1 ]
Di Ciccio, Claudio [1 ]
Garcia-Banuelos, Luciano [2 ,3 ]
Lopez-Pintado, Orlenys [2 ]
机构
[1] Vienna Univ Econ & Business, Vienna, Austria
[2] Univ Tartu, Tartu, Estonia
[3] Tecnol Monterrey, Monterrey, Mexico
来源
BUSINESS PROCESS MANAGEMENT WORKSHOPS (BPM 2019) | 2019年 / 362卷
关键词
Ethereum; Process discovery; Process monitoring; Process conformance;
D O I
10.1007/978-3-030-37453-2_55
中图分类号
F [经济];
学科分类号
02 ;
摘要
The integration of business process management with blockchains across organisational borders provides a means to establish transparency of execution and auditing capabilities. To enable process analytics, though, non-trivial extraction and transformation tasks are necessary on the raw data stored in the ledger. In this paper, we describe our approach to retrieve process data from an Ethereum blockchain ledger and subsequently convert those data into an event log formatted according to the IEEE Extensible Event Stream (XES) standard. We show a proof-of-concept software artefact and its application on a data set produced by the smart contracts of a process execution engine stored on the public Ethereum blockchain network.
引用
收藏
页码:690 / 703
页数:14
相关论文
共 50 条
  • [1] Extracting useful knowledge from event logs: A frequent itemset mining approach
    Djenouri, Youcef
    Belhadi, Asma
    Fournier-Viger, Philippe
    KNOWLEDGE-BASED SYSTEMS, 2018, 139 : 132 - 148
  • [2] Process mining using BPMN: relating event logs and process models
    Kalenkova, Anna A.
    van der Aalst, Wil M. P.
    Lomazova, Irina A.
    Rubin, Vladimir A.
    SOFTWARE AND SYSTEMS MODELING, 2017, 16 (04) : 1019 - 1048
  • [3] Process mining using BPMN: relating event logs and process models
    Anna A. Kalenkova
    Wil M. P. van der Aalst
    Irina A. Lomazova
    Vladimir A. Rubin
    Software & Systems Modeling, 2017, 16 : 1019 - 1048
  • [4] Process Mining on Blockchain Data: A Case Study of Augur
    Hobeck, Richard
    Klinkmueller, Christopher
    Bandara, H. M. N. Dilum
    Weber, Ingo
    van der Aalst, Wil M. P.
    BUSINESS PROCESS MANAGEMENT (BPM 2021), 2021, 12875 : 306 - 323
  • [5] Process discovery from event data: Relating models and logs through abstractions
    van der Aalst, Wil M. P.
    WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2018, 8 (03)
  • [6] Data-Driven Process Discovery - Revealing Conditional Infrequent Behavior from Event Logs
    Mannhardt, Felix
    de Leoni, Massimiliano
    Reijers, Hajo A.
    van der Aalst, Wil M. P.
    ADVANCED INFORMATION SYSTEMS ENGINEERING (CAISE 2017), 2017, 10253 : 545 - 560
  • [7] Process Discovery from Low-Level Event Logs
    Fazzinga, Bettina
    Flesca, Sergio
    Furfaro, Filippo
    Pontieri, Luigi
    ADVANCED INFORMATION SYSTEMS ENGINEERING, CAISE 2018, 2018, 10816 : 257 - 273
  • [8] Process Discovery from Dependence-Complete Event Logs
    Song, Wei
    Jacobsen, Hans-Arno
    Ye, Chunyang
    Ma, Xiaoxing
    IEEE TRANSACTIONS ON SERVICES COMPUTING, 2016, 9 (05) : 714 - 727
  • [9] Detecting concept drift of process models from event logs
    Zheng C.
    Wu X.
    Wen L.
    Wang J.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2019, 25 (04): : 830 - 836
  • [10] Discovering Process Model from Event Logs by Considering Overlapping Rules
    Effendi, Yutika Amelia
    Sarno, Riyanarto
    2017 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, COMPUTER SCIENCE AND INFORMATICS (EECSI), 2017, : 645 - 650