Work

BINet: Multi-perspective business process anomaly classification

Year: 2019

Type: article

Source: Information Systems

Authors: Timo Nolle, Stefan Luettgen, Alexander Seeliger, Max Mühlhäuser

Institution: Technische Universität Darmstadt

Language: English

Topic: Business Process Modeling and Analysis

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: green

Funders: Bundesministerium für Bildung und Forschung, LOEWE Zentrum AdRIA

Award: G6206895612

OpenAlex ID: W2982284349

FWCI: 6.013

Cites: 21

Cited by: 80

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