Towards an Ensemble Approach for Sensor Data Sensemaking

Athanasios Tsitsipas

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Paper

Towards an Ensemble Approach for Sensor Data Sensemaking

Topics: Ensemble Methods; Knowledge Acquisition and Representation; Model Representation and Selection; Shape Representation

In Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods ICPRAM - Volume 1, 323-329, 2022

Author: Athanasios Tsitsipas

Affiliation: Institute of Information Resource Management, Ulm University, Ulm, Germany

Keyword(s): Sensor Data Sensemaking, Hybrid, Stream Reasoning, Abduction, Shapeoids.

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.

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Paper citation in several formats:

Tsitsipas, A. (2022). Towards an Ensemble Approach for Sensor Data Sensemaking. In Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-549-4; ISSN 2184-4313, SciTePress, pages 323-329. DOI: 10.5220/0010898800003122

@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 - ICPRAM},
year={2022},
pages={323-329},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010898800003122},
isbn={978-989-758-549-4},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Towards an Ensemble Approach for Sensor Data Sensemaking
SN - 978-989-758-549-4
IS - 2184-4313
AU - Tsitsipas, A.
PY - 2022
SP - 323
EP - 329
DO - 10.5220/0010898800003122
PB - SciTePress