Abstract
World natural diamond production for 2004 is estimated at 156 million carats and it translated into 61.5 billion US dollars in worldwide jewelery sales. Even though, the current level of demand for diamonds with high color and quality is still not being met by the world’s producing diamond mines. Numerous companies are carrying out various phases of diamond exploration in Botswana, which is the world’s leading producer of gem quality diamonds. Due to the extensive Kalahari sand cover (and Karoo basalts underneath), sophisticated and innovative sampling and geophysical techniques are required to locate undiscovered kimberlites. he goal of this chapter is to build an analytical model for kimberlites identification. Three classification methods (LDA, Decision Tree and SVM) are applied to a dataset containing information about rock samples drilled in Botswana.
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© 2011 Springer-Verlag London Limited
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Shi, Y., Tian, Y., Kou, G., Peng, Y., Li, J. (2011). Geochemical Analyses. In: Optimization Based Data Mining: Theory and Applications. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-0-85729-504-0_19
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DOI: https://doi.org/10.1007/978-0-85729-504-0_19
Publisher Name: Springer, London
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