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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Coastal Ecosystems Simulation: A Decision Tree Analysis For

Bivalve's Growth Conditions

Authors:

João Pedro Reis, António Pereira, Luís Paulo Reis

Published in:

 

(2012).ECMS 2012 Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann. European Council for Modeling and Simulation. doi:10.7148/2012 

 

ISBN: 978-0-9564944-4-3

 

26th European Conference on Modelling and Simulation,

Shaping reality through simulation

Koblenz, Germany, May 29 – June 1 2012

 

Citation format:

Reis, J. P. C., Pereira, A., & Reis, L. P. (2012). Coastal Ecosystems Simulation: A Decision Tree Analysis For Bivalve's Growth Conditions. ECMS 2012 Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann (pp. 392-398). European Council for Modeling and Simulation. doi:10.7148/2012-0392-0398

DOI:

http://dx.doi.org/10.7148/2012-0392-0398

Abstract:

The usage of data mining models has the main purpose of discovering new patterns from dataset analysis by ex- tracting knowledge from data and converting it to infor- mation. The most challenging part of problem solving is not the generation of high number of instances in dataset, most often hard to understand, but the interpretation of all those instances to extrapolate information about it. Simu- lation of coastal ecosystems is used to replicate some real conditions related with physical, chemical and biologi- cal processes, and produces large datasets from which it could be deduced some information about attributes be- haviors. This paper relates the use of Decision Tree mod- els to analyze the growth of bivalve species in an ecosys- tem simulation. With a set of attributes that represents the water quality in certain modeled regions, the usage of Decision Tree is intended to identify the most significant attribute conditions, which could justify the growth be- havior for each analyzed species. This approach aims the creation of new information about how water conditions should be to promote a healthy and fast growth of the analyzed species, being useful to know in which zones the bivalve should be seeded, and which are the condi- tions that aquaculture producers should afford to benefit the quality of its crops.

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