Process Mining General Introduction Adopted from Ana Karla
- Slides: 12
Process Mining: General Introduction Adopted from Ana Karla Alves de Medeiros Eindhoven University of Technology Department of Information Systems a. k. medeiros@tue. nl /faculteit technologie management 1
Motivation 1. Get Ready 2. Travel by Train 3. Conference Starts 4. Join Reception 5. Have Dinner 6. Go Home 7. Travel by Train /faculteit technologie management 1. Get Ready 2. Travel by Train 3. Conference Starts 4. Give a Talk 5. Join Reception 6. Have Dinner 7. Go Home 8. Travel by Train 2
Motivation • Time consuming – Paper procedures – Meetings • Error prone – Different people have different views about a same process – Information about the process may be incomplete /faculteit technologie management 3
Motivation – more cases may be possible! 1. 2. 3. 4. 5. 6. 7. Get Ready Travel by Train Conference Starts Join Reception Have Dinner Go Home 1. Get Ready Travel 2. by Train Travel by Car 3. 4. 5. 6. 7. 8. 1. 2. 3. 4. 5. 6. 7. Conference Starts 8. Join Reception Have Dinner Go Home Pay Parking Travel by Car /faculteit technologie management Get Ready Travel by Train Conference Starts Give a Talk Join Reception 1. Get Ready Have Dinner 2. Travel by Car Go Home 3. Conference Starts Travel by 4. Train Give a Talk 5. 6. 7. 8. 9. Join Reception Have Dinner Go Home Pay Parking Travel by Car 4
Process Mining Start Get Ready 1. 2. 3. 1. 4. 2. 5. 3. 6. 4. 7. 5. 8. 6. 7. 8. 9. 10. Travel by Train Start 1. Start Get Ready 1. 2. Start Ready Travel by. Get Train 2. Start Get Ready 3. Travel by Train Beta Event Starts 3. Get Travel by Car Ready 4. Beta Event Starts Visit Brewery 4. Travel Beta Event Starts by Car 5. Give a Talk Have Dinner 5. Conference Give a. Starts Talk 6. Brewery Go Home. Visit 6. Join Visit. Have Brewery Reception 7. Travel by Train. Dinner 7. Have 8. Dinner Go. Dinner Home 8. Go Go Home 9. Travel by Train 9. Pay Parking 10. Travel by Car End Travel by Car Conference Starts Give a Talk Join Reception Mined Model Have Dinner Go Home Event Log Pay Parking Travel by Train Mining Techniques /faculteit technologie management Travel by Car End 5
Process Mining • Before deployment – Objective picture of how the process has been executed • After deployment – Feedback mechanism /faculteit technologie management 6
Process Mining Process Model Organizational Model Social Network Performance Analysis Auditing/Security Event Log Mining Techniques /faculteit technologie management Mined Models 7
Tools • • www. processmining. org Pro. Mimport Free tools! /faculteit technologie management 8
Case Studies /faculteit technologie management 9
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 /faculteit technologie management 10
Case Study: Bezwaar – 1 st Most frequent path (19% cases) /faculteit technologie management 11
Prescribed Model /faculteit technologie management Mined Model 12
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