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

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.
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Communication dans un congrès
8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Nov 2016, Porto, Portugal. pp.425-430, Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. 〈10.5220/0006085604250430〉
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https://hal-emse.ccsd.cnrs.fr/emse-01411875
Contributeur : Florent Breuil <>
Soumis le : mercredi 7 décembre 2016 - 16:55:07
Dernière modification le : mercredi 15 novembre 2017 - 18:29:48

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Hector Javier Vazquez, Mihaela Juganaru-Mathieu. Exploring Urban Tree Site Planting Selection in Mexico City through Association Rules. 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Nov 2016, Porto, Portugal. pp.425-430, Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. 〈10.5220/0006085604250430〉. 〈emse-01411875〉

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