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Authors: Brett Gillick ; Shonali Krishnaswamy ; Mohamed Medhat Gaber and Arkady Zaslavsky

Affiliation: Faculty of Information Technology, Monash University, Australia

Abstract: Ubiquitous data mining (UDM) allows data mining operations to be performed on continuous data streams using resource limited devices. Visualisation is an essential tool to assist users in understanding and interpreting data mining results and to aide the user in directing further mining operations. However, there are currently no on-line real-time visualisation tools to complement the UDM algorithms. In this paper we investigate the use of visualisation techniques, within an on-line real-time visualisation framework, in order to enhance UDM result interpretation on handheld devices. We demonstrate a proof of concept implementation for visualising degree of membership of data elements to clusters produced using fuzzy logic algorithms.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Gillick, B.; Krishnaswamy, S.; Medhat Gaber, M. and Zaslavsky, A. (2006). Visualisation of Fuzzy Classification of Data Elements in Ubiquitous Data Stream Mining. In Proceedings of the 3rd International Workshop on Ubiquitous Computing (ICEIS 2006) - IWUC; ISBN 978-972-8865-51-1, SciTePress, pages 29-38. DOI: 10.5220/0002485700290038

@conference{iwuc06,
author={Brett Gillick. and Shonali Krishnaswamy. and Mohamed {Medhat Gaber}. and Arkady Zaslavsky.},
title={Visualisation of Fuzzy Classification of Data Elements in Ubiquitous Data Stream Mining},
booktitle={Proceedings of the 3rd International Workshop on Ubiquitous Computing (ICEIS 2006) - IWUC},
year={2006},
pages={29-38},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002485700290038},
isbn={978-972-8865-51-1},
}

TY - CONF

JO - Proceedings of the 3rd International Workshop on Ubiquitous Computing (ICEIS 2006) - IWUC
TI - Visualisation of Fuzzy Classification of Data Elements in Ubiquitous Data Stream Mining
SN - 978-972-8865-51-1
AU - Gillick, B.
AU - Krishnaswamy, S.
AU - Medhat Gaber, M.
AU - Zaslavsky, A.
PY - 2006
SP - 29
EP - 38
DO - 10.5220/0002485700290038
PB - SciTePress

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