Sensor-data Analytics in Cyber Physical Systems - From Husserl to Data Mining

Paul O'Leary, Matthew Harker, Chrostoph Gugg

Abstract

This position paper proposes a discussion of the need for a solid philosophical basis for mining sensor-data based on phenomenology. Additionally it is proposed that, when considering cyber physical systems, the solution of inverse problems is a prerequisite if the results are to have physical meaning. A prototype lexical analysis tool for sensor-data is presented and its application to knowledge discovery in large mechatronic systems is demonstrated.

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Paper Citation


in Harvard Style

O'Leary P., Harker M. and Gugg C. (2015). Sensor-data Analytics in Cyber Physical Systems - From Husserl to Data Mining . In Proceedings of the 4th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-086-4, pages 176-181. DOI: 10.5220/0005328601760181


in Bibtex Style

@conference{sensornets15,
author={Paul O'Leary and Matthew Harker and Chrostoph Gugg},
title={Sensor-data Analytics in Cyber Physical Systems - From Husserl to Data Mining},
booktitle={Proceedings of the 4th International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2015},
pages={176-181},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005328601760181},
isbn={978-989-758-086-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Sensor-data Analytics in Cyber Physical Systems - From Husserl to Data Mining
SN - 978-989-758-086-4
AU - O'Leary P.
AU - Harker M.
AU - Gugg C.
PY - 2015
SP - 176
EP - 181
DO - 10.5220/0005328601760181