A generic import framework for process event logs

被引:0
|
作者
Gunther, Christian W. [1 ]
van der Aalst, Wil M. P. [1 ]
机构
[1] Eindhoven Univ Technol, Dept Technol Management, NL-5600 MB Eindhoven, Netherlands
来源
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The application of process mining techniques to real-life corporate environments has been of an ad-hoc nature so far, focused on proving the concept. One major reason for this rather slow adoption has been the complicated task of transforming real-life event log data to the MXML format used by advanced process mining tools, such as ProM. In this paper, the ProM Import Framework is presented, which has been designed to bridge this gap and to build a stable foundation for the extraction of event log data from any given PAIS implementation. Its flexible and extensible architecture, adherence to open standards, and open source availability make it a versatile contribution to the general BPI community.
引用
收藏
页码:81 / 92
页数:12
相关论文
共 50 条
  • [21] On process model synthesis based on event logs with noise
    Mitsyuk A.A.
    Shugurov I.S.
    [J]. Automatic Control and Computer Sciences, 2016, 50 (7) : 460 - 470
  • [22] Creating Translucent Event Logs to Improve Process Discovery
    Beyel, Harry H.
    van der Aalst, Wil M. P.
    [J]. PROCESS MINING WORKSHOPS, ICPM 2022, 2023, 468 : 435 - 447
  • [23] Discovering Business Process Architectures from Event Logs
    Bano, Dorina
    Nikaj, Adriatik
    Weske, Mathias
    [J]. BUSINESS PROCESS MANAGEMENT FORUM (BPM 2021), 2021, 427 : 162 - 177
  • [24] Optimal Process Mining for Large and Complex Event Logs
    Prodel, Martin
    Augusto, Vincent
    Jouaneton, Baptiste
    Lamarsalle, Ludovic
    Xie, Xiaolan
    [J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2018, 15 (03) : 1309 - 1325
  • [25] Repairing Event Logs Using Timed Process Models
    Rogge-Solti, Andreas
    Mans, Ronny S.
    van der Aalst, Wil M. P.
    Weske, Mathias
    [J]. ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS: OTM 2013 WORKSHOPS, 2013, 8186 : 705 - 708
  • [26] Mining variable fragments from process event logs
    Asef Pourmasoumi
    Mohsen Kahani
    Ebrahim Bagheri
    [J]. Information Systems Frontiers, 2017, 19 : 1423 - 1443
  • [27] Efficient Alignment Between Event Logs and Process Models
    Song, Wei
    Xia, Xiaoxu
    Jacobsen, Hans-Arno
    Zhang, Pengcheng
    Hu, Hao
    [J]. IEEE TRANSACTIONS ON SERVICES COMPUTING, 2017, 10 (01) : 136 - 149
  • [28] Process Mining of Event Logs from Horde Helpdesk
    Dolak, Radim
    Botlik, Josef
    [J]. SMART TECHNOLOGIES AND INNOVATION FOR A SUSTAINABLE FUTURE, 2019, : 303 - 309
  • [29] Discovering Process Models from Unlabelled Event Logs
    Ferreira, Diogo R.
    Gillblad, Daniel
    [J]. BUSINESS PROCESS MANAGEMENT, PROCEEDINGS, 2009, 5701 : 143 - +
  • [30] Local Concurrency Detection in Business Process Event Logs
    Armas-Cervantes, Abel
    Dumas, Marlon
    La Rosa, Marcello
    Maaradji, Abderrahmane
    [J]. ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2019, 19 (01)