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Beate Scheibel

2 papers hereh-index 471 citations6 works total

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

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedComparing decision mining approaches with regard to the meaningfulness of their results

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AI2023

An End-to-End Approach for Online Decision Mining and Decision Drift Analysis in Process-Aware Information Systems: Extended Version

Beate Scheibel, Stefanie Rinderle-Ma

Decision mining enables the discovery of decision rules from event logs or streams, and constitutes an important part of in-depth analysis and optimisation of business processes. S…

cs.LG2021★ 2 cited

Comparing decision mining approaches with regard to the meaningfulness of their results

Beate Scheibel, Stefanie Rinderle-Ma

Decisions and the underlying rules are indispensable for driving process execution during runtime, i.e., for routing process instances at alternative branches based on the values o…

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