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Authors: Guénaël Cabanes 1 ; Younès Bennani 1 ; Claire Chartagnat 2 and Dominique Fresneau 2

Affiliations: 1 LIPN-CNRS, France ; 2 LEEC-CNRS, France

Abstract: Radio Frequency IDentification (RFID) is an advanced tracking technology that can be used to study the spatial organization of animal societies. The aim of this work is to build a new RFID-based autonomous system to follow individuals spatio-temporal activity, which is not currently available, and to develop new tools for automatic data mining. We study here how to transform these data to obtain knowledge about the division of labor and intra-colonial cooperation and conflict in an ant colony by developing a new unsupervised learning data mining method (DS2L-SOM : Density-based Simultaneous Two-Level - Self Organizing Map) to find homogeneous clusters (i.e., sets of individual witch share a distinctive behavior). This method is very fast and efficient and it also allows a very useful visualization of results.

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Paper citation in several formats:
Cabanes, G.; Bennani, Y.; Chartagnat, C. and Fresneau, D. (2008). Topographic Connectionist Unsupervised Learning for RFID Behavior Data Mining. In Proceedings of the 2nd International Workshop on RFID Technology - Concepts, Applications, Challenges (ICEIS 2008) - IWRT; ISBN 978-989-8111-46-3, SciTePress, pages 63-72. DOI: 10.5220/0001733400630072

@conference{iwrt08,
author={Guénaël Cabanes. and Younès Bennani. and Claire Chartagnat. and Dominique Fresneau.},
title={Topographic Connectionist Unsupervised Learning for RFID Behavior Data Mining},
booktitle={Proceedings of the 2nd International Workshop on RFID Technology - Concepts, Applications, Challenges (ICEIS 2008) - IWRT},
year={2008},
pages={63-72},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001733400630072},
isbn={978-989-8111-46-3},
}

TY - CONF

JO - Proceedings of the 2nd International Workshop on RFID Technology - Concepts, Applications, Challenges (ICEIS 2008) - IWRT
TI - Topographic Connectionist Unsupervised Learning for RFID Behavior Data Mining
SN - 978-989-8111-46-3
AU - Cabanes, G.
AU - Bennani, Y.
AU - Chartagnat, C.
AU - Fresneau, D.
PY - 2008
SP - 63
EP - 72
DO - 10.5220/0001733400630072
PB - SciTePress