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Ali Norouzifar
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2020 – today
- 2026
[j2]Ali Norouzifar
, Marcus Dees
, Wil M. P. van der Aalst
:
Rule-guided process discovery. Data Knowl. Eng. 161: 102508 (2026)
[j1]Ali Norouzifar
, Majid Rafiei
, Marcus Dees
, Wil M. P. van der Aalst
:
Enhancing explainability in process variant analysis: a framework for detecting and interpreting control-flow changes. Softw. Syst. Model. 25(2): 371-412 (2026)
[c7]Bianka Bakullari
, Alessandro Berti
, Harry H. Beyel
, Tobias Brockhoff
, Eduardo Goulart Rocha, Nina Graves
, Hannes Häfke
, Tsung-Hao Huang
, Benedikt Knopp
, István Koren
, Humam Kourani
, Aaron Küsters, Chiao-Yun Li, Lukas Liss
, Lisa Luise Mannel
, Jan Niklas Adams
, Ali Norouzifar
, Gyunam Park
, Viki Peeva
, Marco Pegoraro
, Cameron Pitsch, Mahsa Pourbafrani
, Majid Rafiei
, Christian Rennert
, Daniel Schuster
, Christopher T. Schwanen
, Leah Tacke genannt Unterberg, Merih Seran Uysal
, Miriam Wagner
, Sebastiaan J. van Zelst
:
A Brief History and Overview of the Chair of Process and Data Science (PADS). Mining a Scientist's Process 2026: 15-29
[c6]Aaron Küsters
, Cameron Pitsch, Christian Rennert
, Jan Niklas van Detten, Ali Norouzifar
, Viki Peeva
, Tian Li, Benedikt Knopp
:
Object-Centric Extraction and Analysis of Scientific Publications. Mining a Scientist's Process 2026: 662-678- 2025
[c5]Ali Norouzifar
, Wil M. P. van der Aalst
:
Discriminative Rule Learning for Outcome-Guided Process Model Discovery. CoopIS 2025: 15-32
[i7]Ali Norouzifar, Humam Kourani, Marcus Dees, Wil M. P. van der Aalst:
Integrating Domain Knowledge into Process Discovery Using Large Language Models. CoRR abs/2510.07161 (2025)
[i6]Ali Norouzifar, Wil M. P. van der Aalst:
Discriminative Rule Learning for Outcome-Guided Process Model Discovery. CoRR abs/2510.27343 (2025)- 2024
[c4]Ali Norouzifar
, Humam Kourani
, Marcus Dees
, Wil M. P. van der Aalst
:
Bridging Domain Knowledge and Process Discovery Using Large Language Models. Business Process Management Workshops 2024: 44-56
[c3]Ali Norouzifar
, Majid Rafiei
, Marcus Dees
, Wil M. P. van der Aalst
:
Process Variant Analysis Across Continuous Features: A Novel Framework. BPMDS/EMMSAD@CAiSE 2024: 129-142
[c2]Ali Norouzifar
, Marcus Dees
, Wil M. P. van der Aalst
:
Imposing Rules in Process Discovery: An Inductive Mining Approach. RCIS (1) 2024: 220-236
[i5]Ali Norouzifar, Majid Rafiei, Marcus Dees, Wil M. P. van der Aalst:
Process Variant Analysis Across Continuous Features: A Novel Framework. CoRR abs/2406.04347 (2024)
[i4]Ali Norouzifar, Humam Kourani, Marcus Dees, Wil M. P. van der Aalst:
Bridging Domain Knowledge and Process Discovery Using Large Language Models. CoRR abs/2408.17316 (2024)
[i3]Ali Norouzifar, Marcus Dees, Wil M. P. van der Aalst:
Imposing Rules in Process Discovery: an Inductive Mining Approach. CoRR abs/2408.17326 (2024)- 2023
[c1]Ali Norouzifar
, Wil M. P. van der Aalst
:
Discovering Process Models that Support Desired Behavior and Avoid Undesired Behavior. SAC 2023: 365-368
[i2]Ali Norouzifar, Wil M. P. van der Aalst:
Discovering Process Models that Support Desired Behavior and Avoid Undesired Behavior. CoRR abs/2302.10984 (2023)- 2020
[i1]Amir Neshastegaran, Ali Norouzifar, Iman Izadi:
A Framework for Plant Topology Extraction Using Process Mining and Alarm Data. CoRR abs/2005.01615 (2020)
Coauthor Index

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last updated on 2026-06-27 04:20 CEST by the dblp team
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