loading
Papers

Research.Publish.Connect.

Paper

Authors: Ivan Mitzev and Nicolas H. Younan

Affiliation: Mississipi State University, United States

ISBN: 978-989-758-222-6

Keyword(s): Time Series Classification, Time Series Shapelets, Combined Classifiers, Concatenated Decision Paths.

Related Ontology Subjects/Areas/Topics: Classification ; Ensemble Methods ; Pattern Recognition ; Similarity and Distance Learning ; Theory and Methods

Abstract: In recent years, the amount of collected information has rapidly increased, that has led to an increasing interest to time series data mining and in particular to the classification of these data. Traditional methods for classification are based mostly on distance measures between the time series and 1-NN classification. Recent development of classification methods based on time series shapelets- propose using small sub-sections of the entire time series, which appears to be most representative for certain classes. In addition, the shapelets-based classification method produces higher accuracies on some datasets because the global features are more sensitive to noise than the local ones. Despite its advantages the shapelets methods has an apparent disadvantage- slow training time. Varieties of algorithms were proposed to tackle this problem, one of which is the concatenated decision paths (CDP) algorithm. This algorithm as initially proposed works only with datasets with a number of class indexes higher than five. In this paper, we investigate the possibility to use CDP for datasets with less than five classes. We also introduce improvements that shorten the overall training time of the CDP method. (More)

PDF ImageFull Text

Download
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 3.231.226.211

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:
Mitzev, I. and H. Younan, N. (2017). Concatenated Decision Paths Classification for Datasets with Small Number of Class Labels.In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-222-6, pages 410-417. DOI: 10.5220/0006190004100417

@conference{icpram17,
author={Ivan Mitzev. and Nicolas H. Younan.},
title={Concatenated Decision Paths Classification for Datasets with Small Number of Class Labels},
booktitle={Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2017},
pages={410-417},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006190004100417},
isbn={978-989-758-222-6},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Concatenated Decision Paths Classification for Datasets with Small Number of Class Labels
SN - 978-989-758-222-6
AU - Mitzev, I.
AU - H. Younan, N.
PY - 2017
SP - 410
EP - 417
DO - 10.5220/0006190004100417

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.