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Process Mining: General Introduction

Process Mining: General Introduction. Ana Karla Alves de Medeiros Eindhoven University of Technology D epartment of Information Systems a.k.medeiros@tue.nl. Motivation. Time consuming Paper procedures Meetings Error prone Different people have different views about a same process

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Process Mining: General Introduction

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  1. Process Mining:General Introduction Ana Karla Alves de Medeiros Eindhoven University of Technology Department of Information Systems a.k.medeiros@tue.nl

  2. Motivation

  3. Time consuming Paper procedures Meetings Error prone Different people have different views about a same process Information about the process may be incomplete Motivation

  4. Motivation – more cases may be possible!

  5. Start Get Ready Travel by Train Travel by Car Conference Starts Give a Talk Join Reception Have Dinner Go Home Pay Parking Travel by Train Travel by Car End Process Mining Mined Model Event Log Mining Techniques

  6. Process Mining • Before deployment • Objective picture of how the process has been executed • After deployment • Feedback mechanism

  7. Process Model Process Mining Organizational Model Social Network Auditing/Security Performance Analysis Event Log Mined Models Mining Techniques

  8. Tools • www.processmining.org • ProM • ProMimport • Free tools!

  9. Case Studies

  10. Case Study: Municipality • Objectives • Discover the most frequent paths • Compare prescribed models with executed ones and, if necessary, mine models that describe the current situation

  11. Case Study: Bezwaar – 1st Most frequent path (19% cases)

  12. Mined Model Prescribed Model  

  13. Case Study: ASML Where is the most time spent in the test process? • Objective • Reduce the test period of manufactured wafer scanners • Questions How compliant are the actual test executions to the reference process? How are the tests actually executed?

  14. ASML: Results • Report “Process Mining of Test Processes: A Case Study” >>

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