Sustainable Development Goal Attainment Prediction: A Hierarchical Framework using Time Series Modelling

Yassir Alharbi, Daniel Arribas-Be, Frans Coenen

2019

Abstract

A framework is presented which can be used to forecast weather an individual geographic area will meet its UN Sustainable Development Goals, or not, at some time t. The framework comprises a bottom up hierarchical classification system where the leaf nodes hold forecast models and the intermediate nodes and root node “logical and” operators. Features of the framework include the automated generation of the: associated taxonomy, the threshold values with which leaf node prediction values will be compared and the individual forecast models. The evaluation demonstrates that the proposed framework can be successfully employed to predict whether individual geographic areas will meet their SDGs.

Paper Citation

in Harvard Style

Alharbi Y., Arribas-Be D. and Coenen F. (2019). Sustainable Development Goal Attainment Prediction: A Hierarchical Framework using Time Series Modelling. In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 1: KDIR; ISBN 978-989-758-382-7, SciTePress, pages 297-304. DOI: 10.5220/0008067202970304

in Bibtex Style

@conference{kdir19,
author={Yassir Alharbi and Daniel Arribas-Be and Frans Coenen},
title={Sustainable Development Goal Attainment Prediction: A Hierarchical Framework using Time Series Modelling},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 1: KDIR},
year={2019},
pages={297-304},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008067202970304},
isbn={978-989-758-382-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 1: KDIR
TI - Sustainable Development Goal Attainment Prediction: A Hierarchical Framework using Time Series Modelling
SN - 978-989-758-382-7
AU - Alharbi Y.
AU - Arribas-Be D.
AU - Coenen F.
PY - 2019
SP - 297
EP - 304
DO - 10.5220/0008067202970304
PB - SciTePress