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Aufsatz / Paper in Tagungsband (referiert)

Change point detection in piecewise stationary time series for animal behavior analysis

Breitenberger S., Efrosinin D., Auer W., Waßmuth R.: Change point detection in piecewise stationary time series for animal behavior analysis, in: Operations Research Proceedings 2015, Series Operations Research Proceedings, Page(s) 369-375, Springer, 2017.

BibTeX

@INPROCEEDINGS{
title = {Change point detection in piecewise stationary time series for animal behavior analysis},
type = {Aufsatz / Paper in Tagungsband (referiert)},
booktitle = {Operations Research Proceedings 2015},
author = {Breitenberger, Sandra and Efrosinin, Dmitry and Auer, Wolfgang and Waßmuth, Ralf},
language = {EN},
abstract = {Detection of abrupt changes in time series data structure is very useful in modeling and prediction in many application areas, where time series pattern recognition must be implemented. Despite of the wide amount of research in this area, the proposed methods require usually a long execution time and do not provide the possibility to estimate the real changes in variance and autocorrelation at certain points. Hence they cannot be efficiently applied to the large time series where only the change points with constraints must be detected. In the framework of the present paper we provide heuristic methods based on the moving variance ratio and moving median difference for identification of change points. The methods were applied for behavior analysis of farm animals using the data sets of accelerations obtained by means of the radio frequency identification (RFID).},
pages = {369-375},
publisher = {Springer},
address = {Berlin},
series = {Operations Research Proceedings},
year = {2017},
}

Details

Zusammenfassung: Detection of abrupt changes in time series data structure is very useful in modeling and prediction in many application areas, where time series pattern recognition must be implemented. Despite of the wide amount of research in this area, the proposed methods require usually a long execution time and do not provide the possibility to estimate the real changes in variance and autocorrelation at certain points. Hence they cannot be efficiently applied to the large time series where only the change points with constraints must be detected. In the framework of the present paper we provide heuristic methods based on the moving variance ratio and moving median difference for identification of change points. The methods were applied for behavior analysis of farm animals using the data sets of accelerations obtained by means of the radio frequency identification (RFID).

Buchtitel: Operations Research Proceedings 2015
Erscheinungsjahr: 2017
Seitenreferenz: 369-375
Anzahl Seiten: 6
Verlag: Springer
Verlagsanschrift: Berlin
Serie: Operations Research Proceedings
Reichweite: International

Beteiligte

AutorInnen / HerausgeberInnen: Mag. Sandra Breitenberger, Assoz.Univprof. Dr. Dmitry Efrosinin, Wolfgang Auer, Ralf Waßmuth

Forschungseinheiten der JKU:

Wissenschaftszweige: 101 Mathematik | 101014 Numerische Mathematik | 101018 Statistik | 101019 Stochastik | 101024 Wahrscheinlichkeitstheorie

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