Exploring processes and deviations Sander Leemans Dirk Fahland
- Slides: 22
Exploring processes and deviations Sander Leemans Dirk Fahland Wil van der Aalst
Process mining ? event log model Sander Leemans 2
Quality criteria event log Fitness set scope Precision discover model evaluate Generalisation Simplicity Sander Leemans 3
Exploration event log perspective filters abstraction set scope α ILP IM proprietary discover model evaluate token replay alignment proprietary Sander Leemans 4
Outline Sander Leemans 5
Existing tools commercial Perceptive Reflect Fluxicon Disco Celonis Discovery academic ILP / α / ETM IM / IMin PNReplayer Sander Leemans 6
Notation Concurrency Sander Leemans 7
Ease of use Notation Concurrency Ease of use Sander Leemans 8
Semantics Notation Evaluate Predict Audit Optimise … (BPM) Concurrency Semantics Soundness Sander Leemans Ease of use Semantics/soundness 9
Evaluation 0, 8 Model level Notation Concurrency Ease of use Semantics/soundness Evaluation Activity level model level activity level event level Event level Sander Leemans 10
Filters Notation 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 Concurrency Ease of use Semantics/soundness Evaluation model level activity level event level Filters Include life cycle transition Sander Leemans 11
Outline Inductive visual Miner Sander Leemans 12
Demo teaser Sander Leemans 13
Inductive visual Miner Apply filters Discover model Inductive Miner - infrequent set scope discover Replay Alignments evaluate Animate/enrich Sander Leemans 14
Outline Inductive visual Miner Sander Leemans 15
Inductive visual Miner • Notation Apply filters Discover model Replay – Concurrency • Ease of use • Semantics/soundness • Evaluation Inductive Miner - infrequent Alignment – model level – activity level – event level Animate/enrich • Filters Sander Leemans 16
Notation a • Notation – Concurrency c b • Ease of use • Semantics/soundness • Evaluation + d – model level – activity level – event level e + • Filters Sander Leemans 17
Activity evaluation a BDE • Notation – Concurrency c b Q ACQDE + d • Ease of use • Semantics/soundness • Evaluation – model level – activity level – event level e + • Filters Sander Leemans 18
Event evaluation a ABDE – Concurrency c b ACQDE + d • Notation • Speed • Semantics/soundness • Evaluation – model level – activity level – event level e + • Filters Sander Leemans 19
Take-home messages • Academic – Flexible – Semantics/soundness We can have both! • Commercial (for free) Vendors: please consider semantics + soundness Sander Leemans – – Ease of use Notation Filters Animation 20
Future work • • Improve discovery techniques Plug-in other academic techniques Plug-in filters Model level evaluation ( ) Sander Leemans 21
? Sander Leemans 22
- Sander leemans
- Sander leemans
- Pemilihan model efisiensi struktural menurut a.f leemans
- Deviations from the ideal gas law
- Deviation from ideal gas law
- Mad vs standard deviation
- Terminal swing
- Protocol deviations categories
- Gcp deviation
- Concurrent in os
- Hawai saared
- Sander põllumäe
- Moren tepeleri
- Ben sander amd
- Esperimento di heiss e sander
- Provincies belgie blinde kaart
- Pedro v. sander
- Texture mapping progressive meshes
- Hand sander
- Qr code
- Sander eising
- Sander vaneker
- Sander ten kate