Process Discovery of Collaboration Business Process Containing Invisible Task in Non-Free Choice by using Modified Alpha ++

Maulana, Moh. Zulfiqar Naufal; Sarno, Riyanarto; Sungkono, Kelly Rossa

doi:10.1109/apwimob51111.2021.9435254

Cited by 1 publication

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References 21 publications

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“…The definition of graph-based process discovery is a strategy for identifying, mapping and evaluating organizational processes [3]. Graphbased process discovery can assist businesses in detecting issues in organizational flow and identifying ways to improve management performance [4]. This procedure is also known as process mining [5,6].…”

Section: Introductionmentioning

confidence: 99%

A Graph-based Method for Merging Business Process Models by Considering Semantic Similarity

2023

IJIES

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A process model describes business process flow as the activities that employees must carry out. Nowadays, many companies have similar business processes, so they do not establish their process model from scratch but build the model based on an existing process model or a combination of some process models. Several process mining methods approaches matching rules to define similarities of a model, and others consider the semantic side; however, none use the similarity to merge some business process models. This paper proposed graphbased semantic similarity, a method that merges two process models considering the semantic similarity between those activities. The utilized semantic similarity methods are SBERT and TF-IDF. The evaluations compare SBERT and TF-IDF with other methods and use a similarity method with the highest score in graph-based semantic similarity. Based on the semantic similarity score, graph-based semantic similarity with SBERT has higher similarity scores than existing graph-based semantic similarity, i.e., node similarity and Jaro-Winkler distance. With the highest similarity scores among existing methods, the evaluations also prove that graph-based semantic similarity with SBERT correctly combines business process models based on semantic similarity.

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Section: Introductionmentioning

confidence: 99%

A Graph-based Method for Merging Business Process Models by Considering Semantic Similarity

2023

IJIES

View full text Add to dashboard Cite

show abstract

Process Discovery of Collaboration Business Process Containing Invisible Task in Non-Free Choice by using Modified Alpha ++

Cited by 1 publication

References 21 publications

A Graph-based Method for Merging Business Process Models by Considering Semantic Similarity

A Graph-based Method for Merging Business Process Models by Considering Semantic Similarity

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