Change point detection in piecewise stationary time series for farm animal behaviour analysis
Sprache des Vortragstitels:
Englisch
Original Tagungtitel:
International Conference on Operations Research
Sprache des Tagungstitel:
Englisch
Original Kurzfassung:
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 does 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 3D acceleration of an
electronic ear tag obtained by means of the radio frequency identification (RFID).
Sprache der Kurzfassung:
Englisch
Vortragstyp:
Hauptvortrag / Eingeladener Vortrag auf einer Tagung
Forschungs-