Research paperStatistical techniques for the classification of chromites in diamond exploration samples
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Using Random Forests to distinguish gahnite compositions as an exploration guide to Broken Hill-type Pb-Zn-Ag deposits in the Broken Hill domain, Australia
2014, Journal of Geochemical ExplorationCitation Excerpt :The presence and composition of aluminous minerals and ferromagnesian silicates (e.g., garnet, tourmaline, biotite, chlorite, staurolite, cordierite, and amphibole) have long been used in the search for metamorphosed massive sulfide deposits (e.g., Bryndzia and Scott, 1987; Nesbitt, 1982, 1986a,b; Nesbitt and Kelly, 1980; Spry and Scott, 1986), and have led to mixed success with regard to finding new ore deposits. By contrast, mining companies have had considerable success in using the major and trace element compositions of in situ or detrital indicator minerals such as chromite, garnet, and Cr-diopside in the search for diamonds (e.g., Griffin and Ryan, 1995; Griffin et al., 1997; Quirt, 2004). Such success, along with the ability, since the early-1990s to collect large amounts of high precision trace element data via in situ laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) (e.g., Jackson et al., 1992; Sylvester, 2001, 2008) has led to a significant increase in the number of trace element studies of minerals (e.g., garnet, magnetite, chromite, gahnite), which can be used in the search for various types of ore deposits (e.g., Dupuis and Beaudoin, 2011; Heimann et al., 2011; O'Brien et al., in press).
Using data mining techniques for multi-diseases prediction modeling of hypertension and hyperlipidemia by common risk factors
2011, Expert Systems with ApplicationsCitation Excerpt :Friedman and Roosen (1995) used MARS to estimate the effect of medical treatments. Griffin, Fisher, Friedman, and Ryan (1997) classified diamonds using MARS, achieving almost 80% accuracy rates when sorting diamonds into four categories. This paper uses both a confusion matrix (Table 1) to appraise the performance of the MARS predictive models for hypertension and hyperlipidemia and five evaluated indexes for sensitivity, specificity, accuracy, type I error, and type II error.
Artificial neural networks applied to cancer detection in a breast screening programme
2010, Mathematical and Computer ModellingNeural network and regression spline value function approximations for stochastic dynamic programming
2007, Computers and Operations ResearchMining the customer credit using classification and regression tree and multivariate adaptive regression splines
2006, Computational Statistics and Data AnalysisCitation Excerpt :The final fact has important marketing implications and can help marketing professionals make better managerial decisions. Since CART and MARS have the described advantages, they have proven to be effective tools in handling forecasting and classification problems (Chai et al., 1996; De Gooijer et al., 1998; Friedman and Roosen, 1995; Griffin et al., 1997; Kuhnert et al., 2000; Lewis and Stevens, 1991; Nguyen-Cong et al., 1996; Ohmann et al., 1996). To demonstrate the effectiveness of credit scoring using CART and MARS, credit scoring tasks are performed on one bank credit card data set.