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SPSS Data Mining Tutorial and Tips
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Are you currently involved in a data mining project? Are you considering undertaking a data mining project for the first time? Regardless of your level of data
Mining Industry Research Handbook
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This Mining Industry Research Handbook comprises the results of the work of the European Thematic Network NESMI, the Network on European Sustainable Minerals Industries. Therefore, one of NESMI’s
SPSS Clementine for Data Mining in Institutional Research
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SPSS data mining overview Various Data Mining Techniques Steps in the Data Mining Process CRISP-DM Examples of Data Mining Applications. Data mining application : Student academic success/Retention and
Data Mining Applications in Higher Education
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Data mining overview : Data mining uses a combination of an explicit knowledge base, sophisticated analytical skills, and domain knowledge to uncover hidden trends and patterns. These trends
Modern Mining Needs a Modern Mining Law
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The hardrock mining industry argues that pollution from mines result almost entirely from historic operations. Modern mines (post-1976), the industry argues, are governed by numerous statutes and regulations
A Guide to Mining Investment
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The problem of fraud in the precious metals mining industry continues to plague Arizona investors. The Arizona Corporation Commission’s Securities Division has prepared this bulletin as a guide for
Oracle Data Mining Administrator Guide
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Briefly describes Oracle Data Mining 10g Release 1 (10.1), Describes the generic installation steps and upgrade information. Platform-specific information is in the platform-specific README file. Describes the database
Gold Mining and Exploration in Central America
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The level of gold exploration in Central America has increased significantly over the past year because the region is relatively underexplored, the price of gold is robust and
Using SPSS Data Mining to Detect Taxpayer Non-Compliance
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By mining their existing data, these departments can find the best way to identify non-compliance. Data mining combines powerful analytical techniques with your business knowledge to turn acquired
Clustering Data Mining Techniques Survey
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From a machine learning perspective clusters correspond to hidden patterns, the search for clusters is unsupervised learning, and the resulting system represents a data concept. From a practical