loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Maria Kontaki ; Apostolos N. Papadopoulos and Yannis Manolopoulos

Affiliation: Aristotle University, Greece

Abstract: Similarity search in time series databases is an important research direction. Several methods have been proposed in order to provide algorithms for efficient query processing in the case of static time series of fixed length. In streaming time series the similarity problem is more complex, since the dynamic nature of streaming data make these methods inappropriate. In this paper, we propose a new method to evaluate similarity range queries in streaming time series. The method is based on the use of a multidimensional access method, the R∗ -tree, which is used to store features of the time series extracted by means of the DFT (Discrete Fourier Transform). We take advantage of the incremental computation of the DFT and equip the R∗ -tree with a deferred update policy in order to improve maintenance costs. The experimental evaluation based on synthetic random walk time series and on real stock market data shows that significant performance improvement is achieved in comparison to the s equential scanning of the database. (More)

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 18.223.32.230

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:
Kontaki, M.; N. Papadopoulos, A. and Manolopoulos, Y. (2004). Similarity Range Queries in Streaming Time Series. In Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems (ICEIS 2004) - PRIS; ISBN 972-8865-01-5, SciTePress, pages 69-79. DOI: 10.5220/0002675700690079

@conference{pris04,
author={Maria Kontaki. and Apostolos {N. Papadopoulos}. and Yannis Manolopoulos.},
title={Similarity Range Queries in Streaming Time Series},
booktitle={Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems (ICEIS 2004) - PRIS},
year={2004},
pages={69-79},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002675700690079},
isbn={972-8865-01-5},
}

TY - CONF

JO - Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems (ICEIS 2004) - PRIS
TI - Similarity Range Queries in Streaming Time Series
SN - 972-8865-01-5
AU - Kontaki, M.
AU - N. Papadopoulos, A.
AU - Manolopoulos, Y.
PY - 2004
SP - 69
EP - 79
DO - 10.5220/0002675700690079
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic