Abstract: A drilling interpretation and volumes estimator (DRIVER) system may be provided. The DRIVER system may help facilitate a cost-effective discovery of patterns in mineral exploration drilling data that a mining company may not have the human or computer resources to look for. The DRIVER system may be able to reason with those patterns against previously-documented knowledge and may produce conclusions of value to a user, such as a mining professional.

Abstract: A device may be provided for expressing a probabilistic reasoning of an attribute in a conceptual model. A model attribute may be determined that may be relevant for a model. The model may be determined by expressing at least two of a frequency of the model attribute in the model, a frequency of the model attribute in a default model, a probabilistic reasoning of a presence of the model attribute, a probabilistic reasoning of an absence of the model attribute. An instance may be determined and may include at least an instance attribute that has a positive probabilistic reasoning or a negative probabilistic reasoning. A predictive score may be determined for the instance using a contribution made by the instance attribute. An explanation associated with the predictive score may be determined.