An Experimental Evaluation of the Adaptive Sampling Method for Time Series Classification and Clustering

Muhammad Marwan Muhammad Fuad

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Paper

An Experimental Evaluation of the Adaptive Sampling Method for Time Series Classification and Clustering

Topics: Classification; Feature Selection and Extraction

In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods ICPRAM - Volume 1, 48-54, 2016 , Rome, Italy

Author: Muhammad Marwan Muhammad Fuad

Affiliation: The University of Tromsø - The Arctic University of Norway, Norway

Keyword(s): Adaptive Sampling, Classification, Clustering, Data Mining, Time Series.

Related Ontology Subjects/Areas/Topics: Classification ; Feature Selection and Extraction ; Pattern Recognition ; Theory and Methods

Abstract: Adaptive sampling is a dimensionality reduction technique of time series data inspired by the dynamic programming piecewise linear approximation. This dimensionality reduction technique yields a suboptimal solution of the problem of polygonal curve approximation by limiting the search space. In this paper, we conduct extensive experiments to evaluate the performance of adaptive sampling in 1-NN classification and k-means clustering tasks. The experiments we conducted show that adaptive sampling gives satisfactory results in the aforementioned tasks even for relatively high compression ratios.

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Paper citation in several formats:

Fuad and M. M. M. (2016). An Experimental Evaluation of the Adaptive Sampling Method for Time Series Classification and Clustering. In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-173-1; ISSN 2184-4313, SciTePress, pages 48-54. DOI: 10.5220/0005694600480054

@conference{icpram16,
author={Muhammad Marwan Muhammad Fuad},
title={An Experimental Evaluation of the Adaptive Sampling Method for Time Series Classification and Clustering},
booktitle={Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2016},
pages={48-54},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005694600480054},
isbn={978-989-758-173-1},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - An Experimental Evaluation of the Adaptive Sampling Method for Time Series Classification and Clustering
SN - 978-989-758-173-1
IS - 2184-4313
AU - Fuad, M.
PY - 2016
SP - 48
EP - 54
DO - 10.5220/0005694600480054
PB - SciTePress