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Process Mining
Process Mining
Process Mining
Process Mining
Process Mining
Process Mining
Process Mining
Process Mining
Process Mining
Process Mining
Process Mining
Process Mining
Process Mining
Process Mining
Process Mining
Process Mining
Process Mining
Process Mining
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Process Mining

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Transcript

  • 1. Process Mining Beyond Business Intelligence
  • 2. Agenda
    • Introduction
      • Laboratory for Quality Software
      • Process Mining
    • Demonstration
      • Yasper
      • ProM
    • Discussion
    / department of mathematics and computer science PAGE 05-06-09
  • 3. LaQuSo Organization
    • Department of Mathematics and Computer Science
    • Information Systems
      • EG Databases & Hypermedia
      • EG Architecture of Information Systems
    • Specification and Verification
      • EG Formal Methods
      • EG Analysis and Design of Systems
    • Software and Systems Engineering
      • EG Software Engineering and Technology
      • EG Systems Architecture and Networking
      • EG Embedded Systems Security
    • Algorithms and Visualization
      • EG Algorithms
      • EG Visualization
    / department of mathematics and computer science PAGE 05-06-09
    • Institute for Computing and Information Sciences
    • Digital Security
    • Information and Knowledge Systems
    • Informatics for Technical Applications
    • Software Technology
    • Foundations
    part of
  • 4. LaQuSo Goals
    • Support of relevant research on ICT, in particular on IT
    • Validation of academic results
    • Valorization of academic results
    / department of mathematics and computer science PAGE 05-06-09 Contributing to Promotion of excellence and utilization of knowledge to strengthen technological and societal innovation.
  • 5. LaQuSo Focus
    • Process Mining in collaboration with prof. dr. ir. W.M.P. van der Aalst and prof. dr. K.M. van Hee and their research group
    • Code Mining in collaboration with prof. dr. M.G.J. van den Brand and his research group
    • Model Analysis in collaboration with prof. dr. ir. J.F. Groote and his research group
    • Security Analysis in collaboration with prof. dr. B.P.J. Jacobs and prof. dr. S. Etalle and their research groups
    / department of mathematics and computer science PAGE 05-06-09
  • 6. Code Mining
    • Code Structure Analysis and Visualization
      • Hierarchical dependencies
      • Cross Dependencies
      • Clone Detection
    • Code Evolution Analysis and Visualization
    • Code Metrics Visualization
    • Design Metric Visualization
    • etc.
    / department of mathematics and computer science PAGE 05-06-09
  • 7. Code Mining / department of mathematics and computer science PAGE 05-06-09
  • 8. Model Analysis / department of mathematics and computer science PAGE 05-06-09
  • 9. Process Mining / department of mathematics and computer science PAGE 05-06-09 Reality Information System control support
  • 10. Process Mining / department of mathematics and computer science PAGE 05-06-09 05-06-09 Reality Information System control support Log logging Model e.g. events, messages, transactions
  • 11. Process Mining / department of mathematics and computer science PAGE 05-06-09 Reality Information System control support Log logging Model e.g. events, messages, transactions models specifies
  • 12. Process Mining / department of mathematics and computer science PAGE 05-06-09 Reality Information System control support Log logging Model e.g. events, messages, transactions models specifies verification discovery conformance verification
  • 13. Process Mining
    • Basic Performance Metrics
    • ‘ De facto ’ Process Model
    • Organizational Model
    • Social Network Model
    • Decision Point Analysis
    • Auditing & Security
    / department of mathematics and computer science PAGE 05-06-09
  • 14. Process Mining Mining System / department of mathematics and computer science PAGE 05-06-09 Log analysis report original data
  • 15. Process Mining Mining System / department of mathematics and computer science PAGE 05-06-09 Log internal representation analysis report relevant raw data original data
    • Extraction
    • Filter
    • Select
    • Preprocess
  • 16. Process Mining Mining System / department of mathematics and computer science PAGE 05-06-09 Log internal representation analysis report relevant raw data original data
    • Extraction
    • Filter
    • Select
    • Preprocess
    analysis design and/or develop process and analysis report and/or consultancy
  • 17. Process Mining
    • We support:
      • the process mining readiness assessment (quick scan)
      • the design and development of the necessary interfaces
      • the deployment of the process mining system
      • the actual process mining
        • the preparation
        • the execution
        • the analysis
    • We can also provide consultancy on improvement opportunities
    / department of mathematics and computer science PAGE 05-06-09
  • 18. Demonstrations / department of mathematics and computer science PAGE 05-06-09

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