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Exploring processes and deviations

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Presentation on theme: "Exploring processes and deviations"— Presentation transcript:

1 Exploring processes and deviations
Sander Leemans Dirk Fahland Wil van der Aalst

2 Process mining event log ? model Sander Leemans

3 Quality criteria Fitness Precision Generalisation Simplicity event log
discover set scope evaluate model Generalisation Simplicity Sander Leemans

4 Exploration event log set scope discover model evaluate perspective
filters abstraction α ILP IM proprietary set scope model discover evaluate token replay alignment proprietary Sander Leemans

5 Outline Sander Leemans

6 Existing tools commercial academic Perceptive Reflect
Fluxicon Disco Celonis Discovery academic ILP / α / ETM IM / IMi / IMin PNReplayer Sander Leemans

7 Notation Notation Concurrency Sander Leemans

8 Ease of use Notation Concurrency Ease of use Sander Leemans

9 Semantics Notation Ease of use Semantics/soundness Evaluate Predict
Concurrency Ease of use Semantics/soundness Evaluate Predict Audit Optimise … (BPM) Semantics Soundness Sander Leemans

10 Evaluation 0,8 Model level Notation Ease of use Semantics/soundness
Concurrency Ease of use Semantics/soundness Evaluation model level activity level event level Activity level Event level Sander Leemans

11 Filters Notation Ease of use Semantics/soundness Evaluation Filters
Concurrency Ease of use Semantics/soundness Evaluation model level activity level event level Filters Activities starting with A_/O_/W_ Activities occurring in 80% of the traces Completed traces only Add artificial start events Remove unnecessary transitions Activities starting with either A_ or W_ Remove activities that follow another within seconds Traces that executed an activity Filter parallel activities Remove outlier-long activities Determine standard trace flow Activities executed by resource X Include life cycle transition Sander Leemans

12 Outline Inductive visual Miner Sander Leemans

13 Demo teaser Sander Leemans

14 Inductive visual Miner
Apply filters set scope Discover model Inductive Miner - infrequent discover Replay Alignments evaluate Animate/enrich Sander Leemans

15 Outline Inductive visual Miner Sander Leemans

16 Inductive visual Miner
Notation Concurrency Ease of use Semantics/soundness Evaluation model level activity level event level Filters Apply filters Discover model Inductive Miner - infrequent Replay Alignment Animate/enrich Sander Leemans

17 Notation d e a b c Notation Ease of use Semantics/soundness Evaluation
+ a b c Notation Concurrency Ease of use Semantics/soundness Evaluation model level activity level event level Filters Sander Leemans

18 Activity evaluation a Notation Ease of use Semantics/soundness
B D E Notation Concurrency Ease of use Semantics/soundness Evaluation model level activity level event level Filters b c Q A C Q D E + d e + Sander Leemans

19 Event evaluation a Notation Speed Semantics/soundness Evaluation
A B D E Notation Concurrency Speed Semantics/soundness Evaluation model level activity level event level Filters b c A C Q D E + d e + Sander Leemans

20 Take-home messages We can have both! Vendors: please consider
Academic Flexible Semantics/soundness Commercial Ease of use Notation Filters Animation We can have both! (for free) Vendors: please consider semantics + soundness Sander Leemans

21 Future work Improve discovery techniques
Plug-in other academic techniques Plug-in filters Model level evaluation ( ) Sander Leemans

22 ? Sander Leemans


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