14 citations · 35 across the 10 of their papers we have counts for
18 papers
Anomaly detection in dynamic networks
Sevvandi Kandanaarachchi, Rob J Hyndman
Detecting anomalies from a series of temporal networks has many applications, including road accidents in transport networks and suspicious events in social networks. While there a…
A Look at the Evaluation Setup of the M5 Forecasting Competition
Hansika Hewamalage, Pablo Montero-Manso, Christoph Bergmeir +1
Forecast evaluation plays a key role in how empirical evidence shapes the development of the discipline. Domain experts are interested in error measures relevant for their decision…
MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns
Kasun Bandara, Rob J Hyndman, Christoph Bergmeir
The decomposition of time series into components is an important task that helps to understand time series and can enable better forecasting. Nowadays, with high sampling rates lea…
Detection of cybersecurity attacks through analysis of web browsing activities using principal component analysis
Insha Ullah, Kerrie Mengersen, Rob J Hyndman +1
Organizations such as government departments and financial institutions provide online service facilities accessible via an increasing number of internet connected devices which ma…
Monash Time Series Forecasting Archive
Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb +2
Many businesses and industries nowadays rely on large quantities of time series data making time series forecasting an important research area. Global forecasting models that are t…
Modern strategies for time series regression
Stephanie Clark, Rob J Hyndman, Dan Pagendam +1
This paper discusses several modern approaches to regression analysis involving time series data where some of the predictor variables are also indexed by time. We discuss classica…