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Visualising forecasting algorithm performance using time series instance spaces

Year: 2017

Type: article

Source: International Journal of Forecasting

DOI: 10.1016/j.ijforecast.2016.09.004

Authors: Yanfei Kang, Rob J. Hyndman, Kate Smith-Miles

Institutions: Beihang University, Monash University

Language: English

Topic: Forecasting Techniques and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

Funders: Monash University, Australian Research Council

Awards: Footprints in instance space: visualising the suitability of optimisation algorithms, Stress-testing algorithms: generating new test instances to elicit insights

OpenAlex ID: W2581984534

FWCI: 11.85

Cites: 35

Cited by: 161

Related to: 10