Presentation is loading. Please wait.

Presentation is loading. Please wait.

/faculteit technologie management 1 Process Mining: General Introduction Ana Karla Alves de Medeiros Ana Karla Alves de Medeiros Eindhoven University of.

Published by Modified over 9 years ago

Similar presentations

Presentation on theme: "/faculteit technologie management 1 Process Mining: General Introduction Ana Karla Alves de Medeiros Ana Karla Alves de Medeiros Eindhoven University of."— Presentation transcript:

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

2 /faculteit technologie management 2 Motivation 1.Get Ready 2.Travel by Train 3.Conference Starts 4.Join Reception 5.Have Dinner 6.Go Home 7.Travel by Train 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

3 /faculteit technologie management 3 Motivation Time consuming –Paper procedures –Meetings Error prone –Different people have different views about a same process –Information about the process may be incomplete

4 /faculteit technologie management 4 Motivation – more cases may be possible! 1.Get Ready 2.Travel by Train 3.Conference Starts 4.Join Reception 5.Have Dinner 6.Go Home 7.Travel by Train 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 1.Get Ready 2.Travel by Car 3.Conference Starts 4.Give a Talk 5.Join Reception 6.Have Dinner 7.Go Home 8.Pay Parking 9.Travel by Car 1.Get Ready 2.Travel by Car 3.Conference Starts 4.Join Reception 5.Have Dinner 6.Go Home 7.Pay Parking 8.Travel by Car

5 /faculteit technologie management 5 Process Mining EventLog MiningTechniques MinedModel 1.Start 2.Get Ready 3.Travel by Train 4.Beta Event Starts 5.Visit Brewery 6.Have Dinner 7.Go Home 8.Travel by Train 1.Start 2.Get Ready 3.Travel by Train 4.Beta Event Starts 5.Give a Talk 6.Visit Brewery 7.Have Dinner 8.Go Home 9.Travel by Train 1.Start 2.Get Ready 3.Travel by Car 4.Beta Event Starts 5.Give a Talk 6.Visit Brewery 7.Have Dinner 8.Go Home 9.Pay Parking 10.Travel by Car 1.Start 2.Get Ready 3.Travel by Car 4.Conference Starts 5.Join Reception 6.Have Dinner 7.Go Home 8.Pay Parking 9.Travel by Car 10.End Start Get Ready Travel by Train Train Travel by Car Car Conference Starts Give a Talk Join Reception Have Dinner Go Home Travel by Train Train Travel by Car Car PayParking End

6 /faculteit technologie management 6 Process Mining Before deployment –Objective picture of how the process has been executed After deployment –Feedback mechanism

7 /faculteit technologie management 7 Process Mining Performance Analysis Process Model Organizational Model Social Network EventLog MiningTechniques Auditing/Security MinedModels

8 /faculteit technologie management 8 Tools www.processmining.org ProM ProMimport Free tools!

9 /faculteit technologie management 9 Case Studies

10 /faculteit technologie management 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 /faculteit technologie management 11  Case Study: Bezwaar – 1 st Most frequent path (19% cases)

12 /faculteit technologie management 12 Prescribed Model Mined Model 

13 /faculteit technologie management 13 Where is the most time spent in the test process? Case Study: ASML 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 /faculteit technologie management 14 ASML: Results Report “Process Mining of Test Processes: A Case Study” >>>>

Download ppt "/faculteit technologie management 1 Process Mining: General Introduction Ana Karla Alves de Medeiros Ana Karla Alves de Medeiros Eindhoven University of."

Similar presentations

Orientation for New Site Visitors Site Visitor Responsibilities, Expenses, and Training.

Orientation for New Site Visitors Site Visitor Responsibilities, Expenses, and Training.
Do you wish to became more successful? Wish to improve your performance? And to maximize individual and team contribution? And to maximize individual and.

Do you wish to became more successful? Wish to improve your performance? And to maximize individual and team contribution? And to maximize individual and.
Process Mining in the Context of Web Services Prof.dr.ir. Wil van der Aalst Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands.

Process Mining in the Context of Web Services Prof.dr.ir. Wil van der Aalst Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands.
1 Process Mining Seminars in Software and Services for the Information Society Rome, 2014, May the 5th Francesco Leotta Dipartimento di Ingegneria Informatica,

1 Process Mining Seminars in Software and Services for the Information Society Rome, 2014, May the 5th Francesco Leotta Dipartimento di Ingegneria Informatica,
/faculteit technologie management 1 Process Mining: Organizational and Conformance Mining Algorithms Ana Karla Alves de Medeiros Ana Karla Alves de Medeiros.

/faculteit technologie management 1 Process Mining: Organizational and Conformance Mining Algorithms Ana Karla Alves de Medeiros Ana Karla Alves de Medeiros.
MXML A Meta model for process mining data

MXML A Meta model for process mining data
/faculteit technologie management 1 Process Mining: Control-Flow Mining Algorithms Ana Karla Alves de Medeiros Ana Karla Alves de Medeiros Eindhoven University.

/faculteit technologie management 1 Process Mining: Control-Flow Mining Algorithms Ana Karla Alves de Medeiros Ana Karla Alves de Medeiros Eindhoven University.
Volunteer Recruitment Fair and Volunteering Philip Young & Chris Sparks plc Board and Heads of Department Meeting 31 st January 2015.

Volunteer Recruitment Fair and Volunteering Philip Young & Chris Sparks plc Board and Heads of Department Meeting 31 st January 2015.
Beyond Process Mining: Discovering Business Rules From Event Logs Marlon Dumas University of Tartu, Estonia With contributions from Luciano García-Bañuelos,

Beyond Process Mining: Discovering Business Rules From Event Logs Marlon Dumas University of Tartu, Estonia With contributions from Luciano García-Bañuelos,
/faculteit technologie management Genetic Process Mining Ana Karla Medeiros Ton Weijters Wil van der Aalst Eindhoven University of Technology Department.

/faculteit technologie management Genetic Process Mining Ana Karla Medeiros Ton Weijters Wil van der Aalst Eindhoven University of Technology Department.
Process Mining from discovery to checking Prof.dr.ir. Wil van der Aalst Eindhoven University of Technology, Department of Information Systems, P.O. Box.

Process Mining from discovery to checking Prof.dr.ir. Wil van der Aalst Eindhoven University of Technology, Department of Information Systems, P.O. Box.
/faculteit technologie management www.processmining.org Genetic Process Mining Ana Karla Alves de Medeiros Eindhoven University of Technology Department.

/faculteit technologie management Genetic Process Mining Ana Karla Alves de Medeiros Eindhoven University of Technology Department.
Process Mining in CSCW Systems All truths are easy to understand once they are discovered; the point is to discover them. Galileo Galilei (1564 - 1642)

Process Mining in CSCW Systems All truths are easy to understand once they are discovered; the point is to discover them. Galileo Galilei ( )
Mining Social Networks Uncovering interaction patterns in business processes Prof.dr.ir. Wil van der Aalst Eindhoven University of Technology Department.

Mining Social Networks Uncovering interaction patterns in business processes Prof.dr.ir. Wil van der Aalst Eindhoven University of Technology Department.
1 Analysis of workflows a-priori and a-posteriori analysis Wil van der Aalst Eindhoven University of Technology Faculty of Technology Management Department.

1 Analysis of workflows a-priori and a-posteriori analysis Wil van der Aalst Eindhoven University of Technology Faculty of Technology Management Department.
Business Alignment Using Process Mining as a Tool for Delta Analysis Prof.dr.ir. Wil van der Aalst Eindhoven University of Technology Department of Information.

Business Alignment Using Process Mining as a Tool for Delta Analysis Prof.dr.ir. Wil van der Aalst Eindhoven University of Technology Department of Information.
/faculteit technologie management Dutch-Belgian Database Day 2007 The Challenges of Process Mining A.J.M.M. Weijters (and many others)

/faculteit technologie management Dutch-Belgian Database Day 2007 The Challenges of Process Mining A.J.M.M. Weijters (and many others)
/faculteit technologie management Process Mining and Security: Detecting Anomalous Process Executions and Checking Process Conformance Wil van der Aalst.

/faculteit technologie management Process Mining and Security: Detecting Anomalous Process Executions and Checking Process Conformance Wil van der Aalst.
Discovering Coordination Patterns using Process Mining Prof.dr.ir. Wil van der Aalst Eindhoven University of Technology Department of Information and Technology.

Discovering Coordination Patterns using Process Mining Prof.dr.ir. Wil van der Aalst Eindhoven University of Technology Department of Information and Technology.
Process Mining: Discovering processes from event logs All truths are easy to understand once they are discovered; the point is to discover them. Galileo.

Process Mining: Discovering processes from event logs All truths are easy to understand once they are discovered; the point is to discover them. Galileo.

Similar presentations

Ads by Google