Loading and hauling machineries are highly capital intensive equipment to procure, operate and maintain in surface mining operation. It must be borne in mind that with this huge and capital-intensive equipment, every second of its life time is absolutely important from the production and productivity point of view. As such, it is imperative to optimize the overall cycle time and speed factor of...

Mining frequent patterns in large transactional databases is a highly researched area in the field of data mining. The different existing frequent pattern discovering algorithms suffer from various problems regarding the computational and I/O cost, and memory requirements when mining large amount of data. In this paper a novel approach is introduced for solving the aforementioned issues. The co...

In mining projects, the design and production programmes are developed on the basis of a block model. This model requires defining, assessing and assuring many important parameters used in the feasibility study and that may have relevant consequences over the future results of the project. The selection of such parameters is a complex engineering decision due to their great economic impact on t...

Purpose. To develop a new approach to evaluating the complexity of structure technological systems mining and metallurgical complex with proposed integrated index. The practical application this indicator is due methodological difficulties arising when determining hierarchical level elements studied. Methodology. A systematic applied that allow us explore industrial complexes equipment as objec...

Drought has an impact on many aspects of society. To help decision makers reduce the impacts of drought, it is important to improve our understanding of the characteristics and relationships of atmospheric and oceanic parameters that cause drought. In this study, the use of data mining techniques is introduced to find associations between drought and several oceanic and climatic indices that co...

Underground mines typically do not represent the best working conditions for humans, and many mining companies have the intent to remove all humans from the ore extraction areas. To achieve this goal automation of the mining machinery is required. One of the riskier jobs in a mine is to operate the Load-Haul-Dump (LHD) vehicles that are used to transport the ore from the blast site to a truck, ...

Data mining is the automatic search for interesting and useful correlations within large databases. It lays particular emphasis on discovering patterns that are hard or impossible to detect using standard query mechanisms and classical statistical techniques. This paper describes a formulation of data mining as a well-defined search problem and shows how a hierarchical implementation of a genet...

This research investigates the impact of connecting building characteristics and designs with its performance by data mining techniques, hence the appropriateness of a room in relation to energy efficiency. Mining models are developed by the use of comparable analytical methods. Performance of prediction models is estimated by cross validation consisting of holding a fraction of observations ou...

The outcomes achieved at the completion of a major industry-funded project undertaken by the CSIRO Mining Technology Group to advance the automation capability of continuous mining equipment in underground coal mining operations are reported. The details of a practical steering and guidance solution for autonomous Continuous Miner operation employing novel inertial navigation aiding techniques ...

In some environmental situations, environmental effects caused by elevated metals resulting from past mining and smelting activities can be observed in nearby receiving water bodies several decades after mine and smelter closure. There is a growing need for managing the hazardous solid wastes such as mining wastes as well as for assessing water quality and for sustainable management of sediment...