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

Héctor Javier Vázquez, Mihaela Juganaru-Mathieu

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

  1. Agrawal, R., Imieli Áski, T., and Swami, A. (1993). Mining association rules between sets of items in large databases. In ACM SIGMOD Record, volume 22, pages 207-216. ACM.
  2. Badii, M., Landeros, J., and Cerna, E. (2008). Patrones de asociación de especies y sustentabilidad (species association patterns and sustainibility). Daena: International Journal of Good Conscience, 3:632- 660.
  3. Hahsler, M. and Chelluboina, S. (2011). Visualizing association rules: Introduction to the r-extension package arulesviz. R project module, pages 223-238.
  4. Hahsler, M., Gruen, B., and Hornik, K. (2005). arules - A computational environment for mining association rules and frequent item sets. Journal of Statistical Software, 14(15):1-25.
  5. Kuhns, M. and Rupp, L. (2000). Selecting and planting landscape trees.
  6. Lallich, S., Teytaud, O., and Prudhomme, E. (2007). Association rule interestingness: measure and statistical validation. In Quality measures in data mining, pages 251-275. Springer.
  7. Longman, K. A. et al. (1993). Tropical trees: propagation and planting manuals. Volume 1. Rooting cuttings of tropical trees. Commonwealth Science Council.
  8. SMA (2000). Manual Técnico para la Poda, Derribo y Transplante de Írboles y Arbustos de la Ciudad de México, Secretaría del Medio Ambiente del Distrito Federal. Secretaría del Medio Ambiente del Distrito Federal, México, D.F. http://www.sma.df.gob.mx/drupc/capacitacion/.
  9. Vazquez, H. J. and Juganaru-Mathieu, M. (2014). Handling missing data in a tree species catalog proposed for reforesting mexico city. In 6th International Conference on Knowledge Discovery and Information Retrieval, pages 457-464.
  10. Watson, G. (2011). Fifteen years of urban tree planting and establishment research, trees, people and the built environment. In Proceedings of the Urban Trees Research Conference, pages 63-72.
  11. Zaki, M. J. and Wagner Meira, J. (2014). Data Mining and Analysis: Fundamental Concepts and Algorithms. Cambridge University Press.
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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