terça-feira, 8 de janeiro de 2013

2007f - Mineração Visual de Multiatributos Sísmicos para Classificação de Multifácies


Abstract
The understanding of large data clustering is a relevant problem in several areas of science and engineering. Seismic signal are in general represented by large data sets. For petroleum geophysicists the choice of areas of interest is a demanding task. In this paper we introduce data mining visualizationtechniques, stellar coordinates and transfer functions, which easy the task of dealing visually with data clustering in an interactive and intuitive way allowing the user to make meaningful choices of 3D regions of interest to work with.


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