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W. Aalst

11 papers hereh-index 7457 citations62 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • middle author1
  • last author9

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.DB5
  • cs.AI2
  • cs.FL2
  • cs.LG2

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedControl-flow anomaly detection by process mining-based feature extraction and dimensionality reduction

11 citations · 21 across the 10 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

cs.DB2024

Object-Centric Local Process Models

Viki Peeva, Marvin Porsil, Wil M. P. van der Aalst

Process mining is a technology that helps understand, analyze, and improve processes. It has been present for around two decades, and although initially tailored for business proce…

cs.DB2024★ 2 cited

Leveraging Large Language Models for Enhanced Process Model Comprehension

Humam Kourani, Alessandro Berti, Jasmin Hennrich +6

In Business Process Management (BPM), effectively comprehending process models is crucial yet poses significant challenges, particularly as organizations scale and processes become…

cs.FL2024

Imposing Rules in Process Discovery: an Inductive Mining Approach

Ali Norouzifar, Marcus Dees, Wil van der Aalst

Process discovery aims to discover descriptive process models from event logs. These discovered process models depict the actual execution of a process and serve as a foundational…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.