A proper valoration and operation of mining resources should consider the reaction capacity of decision makers who face contingencies and sources of uncertainty involved. The Real Options Approach makes use of financial tools to valorate real assets, incorporating these features. Although the works carried out so far now consider the abandoning, closing and reopening of a mine deposit, they hav...

In the context of open-pit mine planning, uncertainties including commodity price would significantly affect the technical and financial aspects of mining projects. A mine planning that takes place regardless of the uncertainty in price just develops an optimized plan at the starting time of the mining operation. Given the price change over the life of mine, which is quite certain, optimality o...

Partitioning a set of objects into homogeneous clusters is a fundamental operation in data mining. The operation is needed in a number of data mining tasks. Clustering or data grouping is the key technique of the data mining. It is an unsupervised learning task where one seeks to identify a finite set of categories termed clusters to describe the data . The grouping of data into clusters is bas...

Text retrieval, Analysis, Mining and Knowledge management have gained a lot of importance in a time when we drown in information but are starved for knowledge. In this paper, we propose a novel Index that uses a Text Cube model to store the text information similar to a data cube in Data Mining. This model creates a direct index, next word index and inverted index in a single Cube Index which i...

Data mining is a powerful tool which supports automatic extraction of unknown patterns from large amounts of data. The knowledge extracted by data mining process support a variety of domains like marketing, weather forecasting, and medical diagnosis .The process of data mining requires a large data to be collected from diverse sites. With the rapid growth of the Internet, networking, hardware a...

Discovery of association rules is an important problem in Data Mining. The classical approach is to generate all itemsets that have support (i.e., the fraction of transactions containing the itemset) above a user given threshold. Most existing algorithms aim at reducing the number of scans over the transaction database, i.e., the I/O overhead. We consider the problem of how to calculate efficie...

Mining method selection is one of the most critical and problematic activities of mining engineering. The ultimate goals of mining method selection are to maximize company profit, maximize recovery of the mineral resources and provide a safe environment for the miners by selecting the method with the least problems among the feasible alternatives. Selection of an appropriate mining method is a ...

Association rule mining is an important mining function because of its completeness. It has been even used to generate classi ers and to segment database. However the current model of association rule mining poses problems regarding exibility while handling evolving databases. The expensive process of massive rule discovery discourages frequent application of mining algorithm for exploratory mi...