Anomaly detection algorithm for business process control flow based on event log: Status and evaluation

被引：0
|
作者：
Fu, Jianping [1 ]
Zhao, Haiyan [1 ]
Cao, Jian [2 ]
Chen, Qingkui [1 ]
机构：
[1] School of Optoelectronic Information and Computer Engineering, University of Shanghai for Science and Technology, Shanghai,200093, China
[2] School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai,200030, China
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2024年 / 30卷 / 08期
关键词：
D O I：
10.13196/j.cims.2023.BPM01
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：2631 / 2643
相关论文
共 50 条
  • [21] Attention-Based Anomaly Detection in Hospital Process Event Data
    Krajsic, Philippe
    Franczyk, Bogdan
    2021 8TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING & MACHINE INTELLIGENCE (ISCMI 2021), 2021, : 48 - 52
  • [22] Business Process Optimization from Single Timestamp Event Log
    Sarno, Riyanarto
    Haryadita, Fitrianing
    Kartini
    Sarwosri
    Solichah, Adhatus A.
    2015 INTERNATIONAL CONFERENCE ON COMPUTER, CONTROL, INFORMATICS AND ITS APPLICATIONS (IC3INA), 2015, : 50 - 55
  • [23] Business process discovery as a service with event log privacy and access control over discovered models
    de la Fuente-anaya, Hector A.
    Marin-Castro, Heidy M.
    Morales-Sandoval, Miguel
    Garcia-Hernandez, Jose Juan
    COMPUTING, 2024, 106 (11) : 3603 - 3625
  • [24] Business Process Event Log use for Activity Sequence Analysis
    Savickas, Titas
    Vasilecas, Olegas
    2015 OPEN CONFERENCE OF ELECTRICAL, ELECTRONIC AND INFORMATION SCIENCES (ESTREAM), 2015,
  • [25] Semi-Supervised Anomaly Detection in Business Process Event Data using Self-Attention based Classification
    Krajsic, Philippe
    Franczyk, Bogdan
    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (KSE 2021), 2021, 192 : 39 - 48
  • [26] Process Monitoring System Based On Anomaly Detection Statistics Algorithm
    Zhang, Lijuan
    APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY, 2014, 513-517 : 408 - 411
  • [27] Distributed Systems Anomaly Detection Based on Log
    Lai, Fenggang
    Zhang, Pan
    Cheng, Ruiying
    Xu, Peng
    2021 INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES FOR DISASTER MANAGEMENT (ICT-DM), 2021, : 72 - 79
  • [28] Graph Autoencoders for Business Process Anomaly Detection
    Huo, Siyu
    Voelzer, Hagen
    Reddy, Prabhat
    Agarwal, Prerna
    Isahagian, Vatche
    Muthusamy, Vinod
    BUSINESS PROCESS MANAGEMENT (BPM 2021), 2021, 12875 : 417 - 433
  • [29] ANOMALY DETECTION ALGORITHMS IN BUSINESS PROCESS LOGS
    Bezerra, Fabio
    Wainer, Jacques
    ICEIS 2008: PROCEEDINGS OF THE TENTH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL AIDSS: ARTIFICIAL INTELLIGENCE AND DECISION SUPPORT SYSTEMS, 2008, : 11 - 18
  • [30] An Efficient Massive Log Discriminative Algorithm for Anomaly Detection in Cloud
    Liu, Jian
    Li, Jie
    Wu, Chentao
    2019 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2019,
12345