A Framework for Human-in-the-loop Monitoring of Concept-drift Detection in Event Log Stream-Reference-Cited by-同舟云学术

A Framework for Human-in-the-loop Monitoring of Concept-drift Detection in Event Log Stream

Published:2018 Issue: Volume: Page:
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Container-title:Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18
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Author:

Barbon Junior Sylvio¹,Tavares Gabriel Marques¹,da Costa Victor G. Turrisi¹,Ceravolo Paolo²,Damiani Ernesto³

Affiliation:

1. Londrina State University, Londrina, Brazil

2. Universit`a degli Studi di Milano, Crema, Italy

3. Khalifa University, Abu Dhabi, Uae

Funder

Information and Communication Technology (ICT) Fund. ABU DHABI

Publisher

ACM Press

Reference30 articles.

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3. RP Jagadeesh Chandra Bose, Wil MP van der Aalst, Indre Zliobaite, and Mykola Pechenizkiy. 2011. Handling concept drift in process mining. In International Conference on Advanced Information Systems Engineering. Springer, 391--405.

4. Markus Breunig, Hans-Peter Kriegel, Raymond Ng, and Jörg Sander. 1999. Opticsof: Identifying local outliers. Principles of data mining and knowledge discovery (1999), 262--270.

5. Andrea Burattin, Marta Cimitile, Fabrizio M Maggi, and Alessandro Sperduti. 2015. Online discovery of declarative process models from event streams. IEEE Transactions on Services Computing 8, 6 (2015), 833--846.

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