Exploring Urban Tree Site Planting Selection in Mexico City through Association Rules

Héctor Javier Vázquez, Mihaela Juganaru-Mathieu

2016

Abstract

In this paper we present an exploration of association rules determine planting sites considering urban tree’s characteristics. In first step itemsets and rules are generated using the unsupervised algorithm Apriori. They are rapidly characterized in terms of tree planting sites. In a second step planting sites are fixed as target values to establish rules (a supervised version of the a priori algorithm). An original approach is also presented and validated for the prediction of the planting site of the species.

References

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Paper Citation


in Harvard Style

Vázquez H. and Juganaru-Mathieu M. (2016). Exploring Urban Tree Site Planting Selection in Mexico City through Association Rules . In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016) ISBN 978-989-758-203-5, pages 425-430. DOI: 10.5220/0006085604250430


in Bibtex Style

@conference{kdir16,
author={Héctor Javier Vázquez and Mihaela Juganaru-Mathieu},
title={Exploring Urban Tree Site Planting Selection in Mexico City through Association Rules},
booktitle={Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016)},
year={2016},
pages={425-430},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006085604250430},
isbn={978-989-758-203-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016)
TI - Exploring Urban Tree Site Planting Selection in Mexico City through Association Rules
SN - 978-989-758-203-5
AU - Vázquez H.
AU - Juganaru-Mathieu M.
PY - 2016
SP - 425
EP - 430
DO - 10.5220/0006085604250430