• DocumentCode
    162666
  • Title

    Deciphering event logs in SharePoint Server: A methodology based on process mining

  • Author

    Arias Chaves, Michael ; Rojas Cordoba, Eric

  • Author_Institution
    Univ. de Costa Rica, San José, Costa Rica
  • fYear
    2014
  • fDate
    15-19 Sept. 2014
  • Firstpage
    1
  • Lastpage
    12
  • Abstract
    Nowadays, the information systems are an indispensable resource for the organizations. The processes that are managed through these systems most of the time are hard to understand, maintain and improve. The data associated to the process becomes the main source and input to do all types of analysis. Process Mining allows the extraction of useful knowledge from the generated information of the corporate systems. This work suggests a methodology based on process mining to execute process support analysis of a corporate intranet implemented in SharePoint Server. With the extracted information it is possible to do analysis from several perspectives. The obtained results allow administrators of this type of technology platforms to evaluate the techniques used and generate benefits. The methodology was applied in a case study for a Retail client, besides doing an exploratory analysis of the data for two additional clients in the Industrial Safety industry in Chile.
  • Keywords
    cryptography; data mining; file servers; information systems; intranets; organisational aspects; SharePoint server; corporate intranet; event logs deciphering; industrial safety industry; information systems; knowledge extraction; organizations; process mining; process support analysis; retail client; technology platforms; Business; Computational modeling; Data mining; Monitoring; PROM; Servers; Software; BPMN; Business Processes; Event Logs; Intranet; Methodology; PAIS; Process Analysis; Process Mining; SharePoint Server;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing Conference (CLEI), 2014 XL Latin American
  • Conference_Location
    Montevideo
  • Type

    conf

  • DOI
    10.1109/CLEI.2014.6965174
  • Filename
    6965174