loading
Papers

Research.Publish.Connect.

Paper

Authors: Boyan Kolev 1 ; Reza Akbarinia 1 ; Ricardo Jimenez-Peris 2 ; Oleksandra Levchenko 1 ; Florent Masseglia 1 ; Marta Patino 3 and Patrick Valduriez 1

Affiliations: 1 Inria and LIRMM, Montpellier and France ; 2 LeanXcale, Madrid and Spain ; 3 Universidad Politecnica de Madrid (UPM), Madrid and Spain

ISBN: 978-989-758-365-0

Keyword(s): Time Series Correlation and Regression, Data Stream Processing, Distributed Computing.

Abstract: This paper addresses the problem of continuously finding highly correlated pairs of time series over the most recent time window and possibly use the discovered correlations to select features for training a regression model for prediction. The implementation builds upon the ParCorr parallel method for online correlation discovery and is designed to run continuously on top of the UPM-CEP data streaming engine through efficient streaming operators.

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 34.204.191.31

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:
Kolev, B.; Akbarinia, R.; Jimenez-Peris, R.; Levchenko, O.; Masseglia, F.; Patino, M. and Valduriez, P. (2019). Parallel Streaming Implementation of Online Time Series Correlation Discovery on Sliding Windows with Regression Capabilities.In Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: ADITCA, ISBN 978-989-758-365-0, pages 681-687. DOI: 10.5220/0007843806810687

@conference{aditca19,
author={Boyan Kolev. and Reza Akbarinia. and Ricardo Jimenez{-}Peris. and Oleksandra Levchenko. and Florent Masseglia. and Marta Patino. and Patrick Valduriez.},
title={Parallel Streaming Implementation of Online Time Series Correlation Discovery on Sliding Windows with Regression Capabilities},
booktitle={Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: ADITCA,},
year={2019},
pages={681-687},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007843806810687},
isbn={978-989-758-365-0},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: ADITCA,
TI - Parallel Streaming Implementation of Online Time Series Correlation Discovery on Sliding Windows with Regression Capabilities
SN - 978-989-758-365-0
AU - Kolev, B.
AU - Akbarinia, R.
AU - Jimenez-Peris, R.
AU - Levchenko, O.
AU - Masseglia, F.
AU - Patino, M.
AU - Valduriez, P.
PY - 2019
SP - 681
EP - 687
DO - 10.5220/0007843806810687

Login or register to post comments.

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