Generating time-based label refinements to discover more precise process models-Reference-Cited by-同舟云学术

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Generating time-based label refinements to discover more precise process models

Published:2019-03-19 Issue:2 Volume:11 Page:165-182
ISSN:1876-1372
Container-title:Journal of Ambient Intelligence and Smart Environments
language:
Short-container-title:AIS

Author:

Tax Niek¹,Alasgarov Emin²,Sidorova Natalia¹,Haakma Reinder³,van der Aalst Wil M.P.¹⁴

Affiliation:

1. Eindhoven University of Technology, Eindhoven, The Netherlands. E-mails: n.tax@tue.nl, n.sidorova@tue.nl, wvdaalst@pads.rwth-aachen.de

2. Bol.com, Utrecht, The Netherlands. E-mail: ealasgarov@bol.com

3. Philips Research, Eindhoven, The Netherlands. E-mail: r.haakma@philips.com

4. RWTH Aachen, Aachen, Germany. E-mail: wvdaalst@pads.rwth-aachen.de

Publisher

IOS Press

Subject

Software

Reference53 articles.

1. Maintaining knowledge about temporal intervals;Allen;Communications of the ACM,1983

2. Automated Discovery of Structured Process Models: Discover Structured vs. Discover and Structure

3. Clustering on the unit hypersphere using von Mises–Fisher distributions;Banerjee;Journal of Machine Learning Research,2005

4. Mixtools: An R package for analyzing finite mixture models;Benaglia;Journal of Statistical Software,2009

5. J.C.A.M. Buijs, B.F. van Dongen and W.M.P. van der Aalst, On the role of fitness, precision, generalization and simplicity in process discovery, in: OTM Confederated International Conferences “On the Move to Meaningful Internet Systems”, Springer, 2012, pp. 305–322.

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