loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Siegfried Delannoy 1 ; 2 ; Émilie Poisson Caillault 1 ; André Bigand 1 and Kevin Rousseeuw 2

Affiliations: 1 LISIC, ULCO, EA 4491, Calais, France ; 2 ORIENTOI DEV, 165 Av. de Bretagne, 59000 Lille, France

Keyword(s): Similarity Measure, N-gram, Temporal Extractions, Web-Application, User Profiles, Weighted Vote Classification.

Abstract: This paper studies a way to discriminate user behaviour from their viewed pages in a web-application. This technique is on similarity measure selection and time sequence splitting techniques. Using temporal splitting techniques, the proposed similarity measures greatly improve the result accuracy. We applied these ones on several datasets from the well known UCR Archive and our research is focused on a private dataset (ORIENTOI) and a public one called UCR-CBF. Some of the proposed temporal tricks appear to make similarity measures efficient with noises. They make them possible to deal with repeating terms, which is a drawback for most of the similarity measures. Thus the similarity measures are shown to reach the state of the art on UCR datasets. We also evaluated the proposed technique on our private (ORIENTOI) dataset with success. We finally discuss about the weakness of our method and the ways to improve it.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.145.15.205

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Delannoy, S.; Caillault, É.; Bigand, A. and Rousseeuw, K. (2021). Symbolic Translation of Time Series using Piecewise N-gram Similarity Voting. In Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-486-2; ISSN 2184-4313, SciTePress, pages 327-333. DOI: 10.5220/0010317603270333

@conference{icpram21,
author={Siegfried Delannoy. and Émilie Poisson Caillault. and André Bigand. and Kevin Rousseeuw.},
title={Symbolic Translation of Time Series using Piecewise N-gram Similarity Voting},
booktitle={Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2021},
pages={327-333},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010317603270333},
isbn={978-989-758-486-2},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Symbolic Translation of Time Series using Piecewise N-gram Similarity Voting
SN - 978-989-758-486-2
IS - 2184-4313
AU - Delannoy, S.
AU - Caillault, É.
AU - Bigand, A.
AU - Rousseeuw, K.
PY - 2021
SP - 327
EP - 333
DO - 10.5220/0010317603270333
PB - SciTePress