Insuring Sensitive Processes through Process Mining

被引:5
|
作者
Munoz-Gama, Jorge [1 ]
Echizen, Isao [2 ]
机构
[1] Univ Politecn Cataluna, Barcelona, Spain
[2] Natl Inst Informat, Tokyo, Japan
关键词
process mining; insurance schema; trust model; risk; accountability; CONFORMANCE CHECKING;
D O I
10.1109/UIC-ATC.2012.83
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Any system, company or complex task is composed by processes, i.e., sequences of actions performed in some established order. Some of these processes are considered sensitive for the role they play within the system, or for the sensitive data they manage. In such cases, the trust in this processes is desirable, requiring their verification, monitoring, auditing, but also the possibility of being insured by a third party. In this approach we propose a schema for insuring sensitive process based on the use of formal models and Process Mining techniques (i.e. process management techniques that allows for the analysis of processes based on event logs). The experimental results presented show that this new approach could be useful in the context of insurance and analysis of processes.
引用
收藏
页码:447 / 454
页数:8
相关论文
共 50 条
  • [31] Context-sensitive Collaboration in Service Processes through the Integration of Telecommunication Technology and Business Process Management
    Reiter, Markus
    Houy, Constantin
    Fettke, Peter
    Loos, Peter
    PROCEEDINGS OF THE 46TH ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES, 2013, : 491 - 500
  • [32] Process Mining of Mining Processes: Analyzing Longwall Coal Excavation Using Event Data
    Brzychczy, Edyta
    Zuber, Agnieszka
    Aalst, Wil van der
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 54 (05): : 3231 - 3243
  • [33] Mining Anomalous Usage of Sensitive Data Through Anomaly Detection
    Jin, Xin
    Xiong, Yan
    Huang, Wenchao
    Meng, Zhaoyi
    2017 3RD INTERNATIONAL CONFERENCE ON BIG DATA COMPUTING AND COMMUNICATIONS (BIGCOM), 2017, : 59 - 67
  • [34] Analyzing the Devil's Quadrangle of Process Instances Through Process Mining
    Velasquez, Ignacio
    Sepulveda, Marcos
    BUSINESS PROCESS MANAGEMENT WORKSHOPS, BPM 2023, 2024, 492 : 272 - 284
  • [35] Process Analytics Through Event Databases: Potentials for Visualizations and Process Mining
    Delias, Pavlos
    Kazanidis, Ioannis
    DECISION SUPPORT SYSTEMS VII: DATA, INFORMATION AND KNOWLEDGE VISUALIZATION IN DECISION SUPPORT SYSTEMS, 2017, 282 : 88 - 100
  • [36] Analysis of the Strengths of Process Mining Techniques in the Optimization of Logistics Processes
    Dolak, Radim
    Halaska, Michal
    Chmelicek, Jakub
    BUSINESS MODELING AND SOFTWARE DESIGN, BMSD 2024, 2024, 523 : 3 - 15
  • [37] Analyzing Medical Emergency Processes with Process Mining: The Stroke Case
    Fernandez-Llatas, Carlos
    Ibanez-Sanchez, Gema
    Celda, Angeles
    Mandingorra, Jesus
    Aparici-Tortajada, Lucia
    Martinez-Millana, Antonio
    Munoz-Gama, Jorge
    Sepulveda, Marcos
    Rojas, Eric
    Galvez, Victor
    Capurro, Daniel
    Traver, Vicente
    BUSINESS PROCESS MANAGEMENT WORKSHOPS, BPM 2018 INTERNATIONAL WORKSHOPS, 2019, 342 : 214 - 225
  • [38] Process Mining in Healthcare: Analysis and Modeling of Processes in the Emergency Area
    Garcia, A. O.
    Ramirez, Y. E. P.
    Armenteros, O. U. L.
    IEEE LATIN AMERICA TRANSACTIONS, 2015, 13 (05) : 1612 - 1618
  • [39] Introduction to Integration of the Process Mining to the Knowledge Framework for Software Processes
    Stolfa, Jakub
    Stolfa, Svatopluk
    Kosinar, Michael Alexander
    Snasel, Vaclav
    PROCEEDINGS OF THE SECOND INTERNATIONAL AFRO-EUROPEAN CONFERENCE FOR INDUSTRIAL ADVANCEMENT (AECIA 2015), 2016, 427 : 21 - 31
  • [40] Fuzzy Modeling Built Through a Data Mining Process
    Wilges, B.
    Mateus, G. P.
    Nassar, S. M.
    Bastos, R. C.
    IEEE LATIN AMERICA TRANSACTIONS, 2012, 10 (02) : 1622 - 1626