Abstract
This article reports on a study on olive-fly infestation prediction using machine learning techniques. . The purpose of the work was, on the one hand, to make accurate predictions and, on the other, to verify whether the Bayesian network techniques are competitive with respect to classification trees. We have applied the techniques to a dataset and, in addition, performed a previous phase of variables selection to simplify the complexity of the classifiers. The results of the experiments show that Bayesians networks produce valid predictors, although improved definition of dependencies and refinement of the variables selection methods are required.
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References
Águila, I.M., Cañadas, J., Bosch, A., Túnez, S., Marín, R.: Knowledge model of therapy administration task applied to an agricultural domain. In: Palade, V., Howlett, R.J., Jain, L. (eds.) KES 2003. LNCS, vol. 2774, pp. 1277–1283. Springer, Heidelberg (2003)
Duda, R.O., Hart, P.E.: Pattern classification. John Wiley and Sons, New York (2001)
Friedman, N., Geiger, D., Goldszmidt, M.: Bayesian networks classifiers. Machine Learrning 29, 131–163 (1997)
Jensen, F.V.: Bayesian Networks and decision graphs. Springer, Heidelberg (2001)
Kristensen, K., Rasmussen, I.A.: The use of a Bayesian network in the design of a decision support system for growing malting barley without use of pesticides. Computers and Electronics in Agriculture 33, 197–217 (2002)
Maman, B.D., Harizanis, P., Filis, I., Antonopoulou, E., Yialouris, C.P., Sideridis, A.B.: A diagnostic expert system for honeybee pests. Computers and Electronics in Agriculture 36, 17–31 (2002)
de Melo, A.C.V., Sanchez, A.J.: Software maintenance project delays prediction using Bayesian Networks. Expert Systems with Applications (2007), doi:10.1016/j.eswa.2006.10.040
Lauría, E.J., Duchessi, P.J.: A Bayesian Belief Network for IT implementation decision support. Decision Support Systems 42, 1573–1588 (2006)
Perini, A., Susi, A.: Developing a decision support system for integrated production in Agriculture. Environmental Modelling & Software 19, 821–829 (2004)
Sahami, M.: Learning limited dependence Bayesian classifiers. In: Proceedings of Second internacional Coference of Knowledge Discovery and Data Mining, pp. 335–338 (2002)
Túnez, S., Aguila, I., Marín, M.R.: An Expertise Model for Therapy Planning Using Abductive Reasoning. Cybernetics and Systems: An international Journal 32, 829–849 (2001)
Zhu, J.Y., Deshmukh, A.: Application of Bayesian decision networks to life cycle engineering in Green design and manufacturing Engineering. Applications of Artificial Intelligence 16, 91–103 (2003)
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del Sagrado, J., del Águila, I.M. (2007). Olive Fly Infestation Prediction Using Machine Learning Techniques. In: Borrajo, D., Castillo, L., Corchado, J.M. (eds) Current Topics in Artificial Intelligence. CAEPIA 2007. Lecture Notes in Computer Science(), vol 4788. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75271-4_24
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DOI: https://doi.org/10.1007/978-3-540-75271-4_24
Publisher Name: Springer, Berlin, Heidelberg
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