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
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
  • [11] Extracting Semantic Process Information from the Natural Language in Event Logs
    Rebmann, Adrian
    van der Aa, Han
    ADVANCED INFORMATION SYSTEMS ENGINEERING (CAISE 2021), 2021, 12751 : 57 - 74
  • [12] Workflow mining: Discovering process models from event logs
    van der Aalst, W
    Weijters, T
    Maruster, L
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2004, 16 (09) : 1128 - 1142
  • [13] Mining Timing Constraints from Event Logs for Process Model
    Zhang, Zhenyu
    Guo, Chunhui
    Ren, Shangping
    2020 IEEE 44TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE (COMPSAC 2020), 2020, : 1011 - 1016
  • [14] A data clustering algorithm for mining patterns from event logs
    Vaarandi, R
    PROCEEDINGS OF THE 3RD IEEE WORKSHOP ON IP OPERATIONS & MANAGEMENT (IPOM2003), 2003, : 119 - 126
  • [15] Optimal process mining of timed event logs
    De Oliveira, Hugo
    Augusto, Vincent
    Jouaneton, Baptiste
    Lamarsalle, Ludovic
    Prodel, Martin
    Xie, Xiaolan
    INFORMATION SCIENCES, 2020, 528 : 58 - 78
  • [16] WEAKLY COMPLETE EVENT LOGS IN PROCESS MINING
    Lekic, Julijana
    Milicev, Dragan
    COMPUTING AND INFORMATICS, 2021, 40 (02) : 341 - 367
  • [17] Extracting a Collaboration Model from VCS Logs Based on Process Mining Techniques
    Jooken, Leen
    Creemers, Mathijs
    Jans, Mieke
    BUSINESS PROCESS MANAGEMENT WORKSHOPS (BPM 2019), 2019, 362 : 212 - 223
  • [18] Inferring the Repetitive Behaviour from Event Logs for Process Mining Discovery
    Tapia-Flores, Tonatiuh
    Lopez-Mellado, Ernesto
    MINING INTELLIGENCE AND KNOWLEDGE EXPLORATION (MIKE 2016), 2017, 10089 : 164 - 173
  • [19] Mining process models from event logs in distributed bioinformatics workflows
    Xing, Jianchuan
    Li, Zhishu
    Cheng, Yanhong
    Yin, Feng
    Li, Baolin
    Chen, Li
    PROCEEDINGS OF THE FIRST INTERNATIONAL SYMPOSIUM ON DATA, PRIVACY, AND E-COMMERCE, 2007, : 8 - +
  • [20] Differentially private release of event logs for process mining
    Elkoumy, Gamal
    Pankova, Alisa
    Dumas, Marlon
    INFORMATION SYSTEMS, 2023, 115