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An Analysis of the Use of Predictive Modeling with Business Intelligence Systems for Exploration of Precious Metals Using Biogeochemical Data

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  • Thomas A. Woolman

    (On Target Technologies, Amissville, VA, USA)

  • John C. Yi

    (Department of Decision and System Sciences, Saint Joseph’s University, Philadelphia, PA, USA)

Abstract

This study addresses the use of predictive modeling techniques; primarily feed-forward artificial neural networks as a tool for forecasting geological exploration targets for gold prospecting. It also provides evidence of effectiveness of using Business Intelligence systems to model pathfinder variables, anomaly detection, and forecasting to locate potential exploration sites for precious metals. The results indicate that the use of advanced Business Intelligence systems can be of extremely high value to the extractive minerals exploration industry.

Suggested Citation

  • Thomas A. Woolman & John C. Yi, 2013. "An Analysis of the Use of Predictive Modeling with Business Intelligence Systems for Exploration of Precious Metals Using Biogeochemical Data," International Journal of Business Intelligence Research (IJBIR), IGI Global, vol. 4(2), pages 39-53, April.
    • Handle: RePEc:igg:jbir00:v:4:y:2013:i:2:p:39-53
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