loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Claudinei Garcia de Andrade ; Marcela Xavier Ribeiro ; Cristiane Yaguinuma and Marilde Terezinha Prado Santos

Affiliation: Federal University of São Carlos, Brazil

ISBN: 978-989-8565-59-4

Keyword(s): Time Series, Similarity Search, Coulomb’s Law.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Engineering ; Data Mining ; Databases and Data Security ; Databases and Information Systems Integration ; Enterprise Information Systems ; Large Scale Databases ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: Several areas of knowledge use systematic and controlled observation, obtained from measurements taken at regular intervals, as a tool for behavioral analysis of phenomena, such as meteorology, which uses the observations to predict the climate behavior. Furthermore, with the advance of technology, the instruments used to measure observations have grown dramatically and the amount of data available for analysis has become greater than the ability to analyze them. In this context, this paper aims to propose a method, based on the principle of Coulomb's Law, for similarity search in time series and thus discovering intrinsic knowledge from these data. Experimental results conducted on climatic data of Brazilian cities and the sea surface temperature showed that the proposed method outperforms traditional methods on performance and accuracy and it is promising for finding similarity in series.

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 18.207.137.4

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:
Garcia de Andrade, C.; Xavier Ribeiro, M.; Yaguinuma, C. and Terezinha Prado Santos, M. (2013). A Novel Method for Similarity Search over Meteorological Time Series Data based on the Coulomb’s Law.In Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8565-59-4, pages 209-216. DOI: 10.5220/0004446702090216

@conference{iceis13,
author={Claudinei Garcia de Andrade. and Marcela Xavier Ribeiro. and Cristiane Yaguinuma. and Marilde Terezinha Prado Santos.},
title={A Novel Method for Similarity Search over Meteorological Time Series Data based on the Coulomb’s Law},
booktitle={Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2013},
pages={209-216},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004446702090216},
isbn={978-989-8565-59-4},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - A Novel Method for Similarity Search over Meteorological Time Series Data based on the Coulomb’s Law
SN - 978-989-8565-59-4
AU - Garcia de Andrade, C.
AU - Xavier Ribeiro, M.
AU - Yaguinuma, C.
AU - Terezinha Prado Santos, M.
PY - 2013
SP - 209
EP - 216
DO - 10.5220/0004446702090216

Login or register to post comments.

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