Effective Frequent Motif Discovery for Long Time Series Classification: A Study using Phonocardiogram

Hajar Alhijailan, Frans Coenen

2019

Abstract

A mechanism for extracting frequent motifs from long time series is proposed, directed at classifying phonocardiograms. The approach features two preprocessing techniques: silent gap removal and a novel candidate frequent motif discovery mechanism founded on the clustering of time series subsequences. These techniques were combined into one process for extracting discriminative frequent motifs from single time series and then to combine these to identify a global set of discriminative frequent motifs. The proposed approach compares favourably with these existing approaches in terms of accuracy and has a significantly improved runtime.

Paper Citation

in Harvard Style

Alhijailan H. and Coenen F. (2019). Effective Frequent Motif Discovery for Long Time Series Classification: A Study using Phonocardiogram. In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 1: KDIR; ISBN 978-989-758-382-7, SciTePress, pages 266-273. DOI: 10.5220/0008018902660273

in Bibtex Style

@conference{kdir19,
author={Hajar Alhijailan and Frans Coenen},
title={Effective Frequent Motif Discovery for Long Time Series Classification: A Study using Phonocardiogram},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 1: KDIR},
year={2019},
pages={266-273},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008018902660273},
isbn={978-989-758-382-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 1: KDIR
TI - Effective Frequent Motif Discovery for Long Time Series Classification: A Study using Phonocardiogram
SN - 978-989-758-382-7
AU - Alhijailan H.
AU - Coenen F.
PY - 2019
SP - 266
EP - 273
DO - 10.5220/0008018902660273
PB - SciTePress