Review of Data mining applications in forestry sector
; Olivera, Alejandro ; Viana Céspedes, Víctor ; Rossit, Daniel Alejandro 
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
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eISSN
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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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