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Extended synthetic event logs for multi-perspective trace clustering

Seeliger, Alexander ; Lüttgen, Stefan ; Mühlhäuser, Max ; Nolle, Timo (2020)
Extended synthetic event logs for multi-perspective trace clustering.
Data, Bibliographie

Abstract

The data set contains an extended set of event logs for evaluating multi-perspective trace clustering approaches in process mining. Event logs were randomly generated from 5 different process models of different complexity levels. The attribute "cluster" refers to the ground truth label. Clusters can only be correctly identified when considering both, the data and the control flow perspective (attributes and trace). The extended dataset contains more noise levels as well as a different generation process regarding the case attributes.

Item Type: Data
Erschienen: 2020
Creators: Seeliger, Alexander ; Lüttgen, Stefan ; Mühlhäuser, Max ; Nolle, Timo
Type of entry: Bibliographie
Title: Extended synthetic event logs for multi-perspective trace clustering
Language: English
Date: 30 May 2020
Place of Publication: Darmstadt
URL / URN: https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2415
Abstract:

The data set contains an extended set of event logs for evaluating multi-perspective trace clustering approaches in process mining. Event logs were randomly generated from 5 different process models of different complexity levels. The attribute "cluster" refers to the ground truth label. Clusters can only be correctly identified when considering both, the data and the control flow perspective (attributes and trace). The extended dataset contains more noise levels as well as a different generation process regarding the case attributes.

Divisions: 20 Department of Computer Science
20 Department of Computer Science > Telecooperation
Date Deposited: 21 Feb 2022 10:01
Last Modified: 22 Feb 2022 15:16
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