Towards an Ensemble Approach for Sensor Data Sensemaking

Athanasios Tsitsipas

2022

Abstract

In a world of uncertainty and incompleteness, one must “make sense” of found observations. Cyber-physical systems output large quantities of data, opening massive opportunities and challenges for scalable techniques to gain exciting insights. One intriguing challenge is the process of Sensor Data Sensemaking. The research presents an approach to handle this process by bringing together the strands of data and knowledge in a single architecture in an interpretable and expressive way. Differently from other works, the use of interpretable patterns from streaming data is in the spotlight. In addition, background knowledge over these patterns gasps the intention to give meaning to these patterns with several possible explanations. A hybrid implementation realises the approach following big data processing models.

Paper Citation

in Harvard Style

Tsitsipas A. (2022). Towards an Ensemble Approach for Sensor Data Sensemaking. In Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-549-4, pages 323-329. DOI: 10.5220/0010898800003122

in Bibtex Style

@conference{icpram22,
author={Athanasios Tsitsipas},
title={Towards an Ensemble Approach for Sensor Data Sensemaking},
booktitle={Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2022},
pages={323-329},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010898800003122},
isbn={978-989-758-549-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Towards an Ensemble Approach for Sensor Data Sensemaking
SN - 978-989-758-549-4
AU - Tsitsipas A.
PY - 2022
SP - 323
EP - 329
DO - 10.5220/0010898800003122