Home Archive Organization Program News Contact
PDF download
Cite article
Share options
Informations, rights and permissions
Issue image
Vol 14, Issue 1, 2024
Pages: 62 - 62
Original scientific paper
See full issue

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 

Metrics and citations
Abstract views: 10
PDF Downloads: 0
Google scholar: See link
Article content
  1. Abstract
  2. Disclaimer
Received: >> Accepted: >> Published: 09.06.2024. Original scientific paper

SIMILARITY OF BI-VARIANT TIME SERIES

By
Vučelja Lekić ,
Vučelja Lekić

Faculty of Technical Sciences Čačak, University of Kragujevac , Kragujevac , Serbia

Nada Damljanović ,
Nada Damljanović

Faculty of Technical Sciences Čačak, University of Kragujevac , Kragujevac , Serbia

Mladen Janjić
Mladen Janjić

Faculty of Technical Sciences Čačak, University of Kragujevac , Kragujevac , Serbia

Abstract

 This paper presents one algorithm for choosing optimal solution from a bivariant time series database. The presented algorithm uses a similarity measure to compare each object in the database to a specific suitable object. The proposed method is useful when dealing with multidimensional time series data, e.g., bi-variant time series, where calculation of distances between all elements can be timeconsuming for certain applications, e.g., in situations where real-time data analysis is of critical importance. 

The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.