Process Analytics Workbench (PAW)

Wang W, Amann E, Matzner M, Delfmann P (2024)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2024

Publisher: CEUR-WS

Series: CEUR Workshop Proceedings

Book Volume: 3783

Pages Range: paper 362

Conference Proceedings Title: ICPM Doctoral Consortium and Demo Track 2024

Event location: Copenhagen DK

URI: https://ceur-ws.org/Vol-3783/paper_362.pdf

Abstract

The Process Analytics Workbench (PAW) is a comprehensive tool to streamline Predictive Process Monitoring (PPM) activities. It integrates functionalities like synthetic event log generation, model training, and prediction evaluation within a micro-service architecture, enabling agile and efficient experimentation.

Authors with CRIS profile

Weixin Wang Lehrstuhl für Digital Industrial Service Systems Martin Matzner Lehrstuhl für Digital Industrial Service Systems

Involved external institutions

Universität Koblenz DE Germany (DE)

How to cite

APA:

Wang, W., Amann, E., Matzner, M., & Delfmann, P. (2024). Process Analytics Workbench (PAW). In Jochen De Weerdt, Giovanni Meroni, Han van der Aa, Karolin Winter (Eds.), ICPM Doctoral Consortium and Demo Track 2024 (pp. paper 362). Copenhagen, DK: CEUR-WS.

MLA:

Wang, Weixin, et al. "Process Analytics Workbench (PAW)." Proceedings of the Doctoral Consortium and Demo Track 2024 at the International Conference on Process Mining, ICPM-D 2024, Copenhagen Ed. Jochen De Weerdt, Giovanni Meroni, Han van der Aa, Karolin Winter, CEUR-WS, 2024. paper 362.

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