Evento

Review of Data mining applications in forestry sector

Broz, Diego Ricardo Icon; Olivera, Alejandro ; Viana Céspedes, Víctor ; Rossit, Daniel Alejandro Icon

Otros responsables

Fecha

2017

Editorial

Universidad de la República

Revista

Título del libro

Nombre del evento

First International Conference on Agro Big Data and Decision Support Systems in Agriculture

Fecha del evento

2017-09-27

Institución organizadora

Universidad de la República

ISSN

eISSN

ISBN

Idioma

Inglés

Tipo del evento

Conferencia

Clasificación temática

Resumen

Modern technology makes possible to collect large amount of data that can be processed and transformed invaluable information for several human activities. Forest industry particularly can take advantage of suchtechnology because of modern forest harvesters are equipped with a system for data collection and communicationcalled StanForD. Data mining allows users to process large databases to determine trends and patterns. In thisextended abstract we present a brief revision of the literature dedicated to the issue and, also, we indicatesynthetically future research directions that could be useful for forest operations management. Some DMtechniques are artificial neural network and decision tree and they are used to perform association, classificationand clustering. Nonetheless, data mining techniques have been successfully applied to several fields, e.g. industry,marketing, sociology, economy, agriculture and environmental sciences.

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Licencia Creative Commons

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