License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.TIME.2020.11
URN: urn:nbn:de:0030-drops-129792
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2020/12979/
Sciavicco, Guido ;
Zavatteri, Matteo ;
Villa, Tiziano
Mining Significant Temporal Networks Is Polynomial
Abstract
A Conditional Simple Temporal Network with Uncertainty and Decisions (CSTNUD) is a formalism that tackles controllable and uncontrollable durations as well as controllable and uncontrollable choices simultaneously. In the classic top-down model-based engineering approach, a designer builds a CSTNUD to model, validate and execute some temporal plan of interest. Instead, in this paper, we investigate the bottom-up approach by providing a deterministic polynomial time algorithm to mine a CSTNUD from a set of execution traces (i.e., a log). This paper paves the way for the design of controllable temporal networks mined from traces that also contain information on uncontrollable events.
BibTeX - Entry
@InProceedings{sciavicco_et_al:LIPIcs:2020:12979,
author = {Guido Sciavicco and Matteo Zavatteri and Tiziano Villa},
title = {{Mining Significant Temporal Networks Is Polynomial}},
booktitle = {27th International Symposium on Temporal Representation and Reasoning (TIME 2020)},
pages = {11:1--11:12},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-167-2},
ISSN = {1868-8969},
year = {2020},
volume = {178},
editor = {Emilio Mu{\~n}oz-Velasco and Ana Ozaki and Martin Theobald},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2020/12979},
URN = {urn:nbn:de:0030-drops-129792},
doi = {10.4230/LIPIcs.TIME.2020.11},
annote = {Keywords: Mining temporal constraints, cstnud, uncertainty, significant temporal network}
}
Keywords: |
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Mining temporal constraints, cstnud, uncertainty, significant temporal network |
Collection: |
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27th International Symposium on Temporal Representation and Reasoning (TIME 2020) |
Issue Date: |
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2020 |
Date of publication: |
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15.09.2020 |