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Software

Sole.jl

Authors: Mauro Milella, Giovanni Pagliarini, Guido Sciavicco, and Ionel Eduard Stan

Abstract

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Mauro Milella, Giovanni Pagliarini, Guido Sciavicco, Ionel Eduard Stan. Sole.jl (Software, Source Code). Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@misc{dagstuhl-artifact-24782,
   title = {{Sole.jl}}, 
   author = {Milella, Mauro and Pagliarini, Giovanni and Sciavicco, Guido and Stan, Ionel Eduard},
   note = {Software, version 0.6.2., swhId: \href{https://archive.softwareheritage.org/swh:1:dir:dd723aee72578208606649ff12168e891cdae221;origin=https://github.com/aclai-lab/Sole.jl;visit=swh:1:snp:921c0e3817509d813e0ea03398f093fbd48ca539;anchor=swh:1:rev:8b79f0b7e41c91745a780262e11c7d07be660084}{\texttt{swh:1:dir:dd723aee72578208606649ff12168e891cdae221}} (visited on 2025-10-13)},
   url = {https://github.com/aclai-lab/Sole.jl},
   doi = {10.4230/artifacts.24782},
}

Artifact

Software

DOI: 10.4230/artifacts.24783

ModalAssociationRules.jl

Authors: Mauro Milella, Giovanni Pagliarini, Guido Sciavicco, and Ionel Eduard Stan

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Mauro Milella, Giovanni Pagliarini, Guido Sciavicco, Ionel Eduard Stan. ModalAssociationRules.jl (Software, Source Code). Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@misc{dagstuhl-artifact-24783,
   title = {{ModalAssociationRules.jl}}, 
   author = {Milella, Mauro and Pagliarini, Giovanni and Sciavicco, Guido and Stan, Ionel Eduard},
   note = {Software, version 0.1.0., swhId: \href{https://archive.softwareheritage.org/swh:1:dir:697da0b30a22cd23450ab445a887ebf1a602db8f;origin=https://github.com/aclai-lab/ModalAssociationRules.jl;visit=swh:1:snp:72b4fb9d69583cb16dd357b5c9de2a2359b80727;anchor=swh:1:rev:4c69384c9ff2e0cf401e27ae9874b1c728962829}{\texttt{swh:1:dir:697da0b30a22cd23450ab445a887ebf1a602db8f}} (visited on 2025-10-13)},
   url = {https://github.com/aclai-lab/ModalAssociationRules.jl},
   doi = {10.4230/artifacts.24783},
}

Document

Short Paper

DOI: 10.4230/LIPIcs.TIME.2025.19

Temporal Association Rules from Motifs (Short Paper)

Authors: Mauro Milella, Giovanni Pagliarini, Guido Sciavicco, and Ionel Eduard Stan

Published in: LIPIcs, Volume 355, 32nd International Symposium on Temporal Representation and Reasoning (TIME 2025)

Abstract

A motif is defined as a frequently occurring pattern within a (multivariate) time series. In recent years, various techniques have been developed to mine time series data. However, only a few studies have explored the idea of using motif discovery in temporal association rule mining. Interval-based temporal association rules have been recently defined and studied, along with the temporal version of the known frequent patterns, and therefore, association rule extraction algorithms (such as APRIORI and FP-Growth). In this work, we define a vocabulary of propositional letters wrapping motifs, and show how to extract temporal association rules starting from such a vocabulary. We apply our methodology to time series datasets in the fields of hand signs execution and gait recognition, and we discuss how they capture curious insights within data, keeping a high level of interpretability.

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Mauro Milella, Giovanni Pagliarini, Guido Sciavicco, and Ionel Eduard Stan. Temporal Association Rules from Motifs (Short Paper). In 32nd International Symposium on Temporal Representation and Reasoning (TIME 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 355, pp. 19:1-19:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{milella_et_al:LIPIcs.TIME.2025.19,
  author =	{Milella, Mauro and Pagliarini, Giovanni and Sciavicco, Guido and Stan, Ionel Eduard},
  title =	{{Temporal Association Rules from Motifs}},
  booktitle =	{32nd International Symposium on Temporal Representation and Reasoning (TIME 2025)},
  pages =	{19:1--19:7},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-401-7},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{355},
  editor =	{Vidal, Thierry and Wa{\l}\k{e}ga, Przemys{\l}aw Andrzej},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.TIME.2025.19},
  URN =		{urn:nbn:de:0030-drops-244653},
  doi =		{10.4230/LIPIcs.TIME.2025.19},
  annote =	{Keywords: Motifs, Interval Temporal Logic, Association Rules}
}

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Documents authored by Milella, Mauro

Sole.jl

Abstract

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ModalAssociationRules.jl

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Temporal Association Rules from Motifs (Short Paper)

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