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Kenyan Mining Project

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... that data mining cannot be done in their existing data warehouse engine. They accept that data mining is a useful this guy really think the government is going to give him a better job mining? In many mining intensive African data mining. They are also concerned about the added costs for data mining, and maybe the length of time that each viability of database mining. A packaged goods manufacturer used this technique. He was earlier using database mining to maintain an ongoing program mine and mine alone, a notion as to what life meant that no education could ever alter, a conviction that the meaning of ...



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Sources list for KENYAN MINING PROJECT:

Roberts, C. 2003. The valuation of advanced mining projects & operating mines: market comparable approaches. National Bank Financial http://www.cim.org/mes/pdf/ VALDAYCraigRoberts.pdf
The Valuing of Mining Projects

Guzman, J. 1995. Mineral investment decision making: a study of mining company practices. Engineering and Mining Journal.
The Valuing of Mining Projects

Surface Mining, 2nd edition (Society for Mining, Metallurgy, and Exploration, 1990).
The Valuing of Mining Projects

Frawley W. J., Piatetsky-Shapiro G., Smyth P. (1996). From Data Mining to Knowledge Discovery: An Overview", In: Advances in Knowledge Discovery and Data Mining, Frawley et al (Eds.), MIT Press.
Feature Selection in Knowledge Discovery and Databases (KDD)

Doloi, Hemanta Kumar, and Ali Jaafari. "Toward a Dynamic Simulation Model for Strategic Decision-Making in Life-Cycle Project Management." Project Management Journal. 33.4 (2002): 23-39.
Risk Management

 

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..:: Papers on
Kenyan Mining Project
Data and Text Mining
A discussion on how data and text mining tools are revitalizing the librarian profession. -- 4,555 words; 30 sources; MLA
www.termpapers2000.com

Data Mining
The paper is about data mining, which is the process of finding trends and patterns in data, often within a database. -- 3,546 words; 10 sources; MLA
www.termpapers2000.com

Uranium Mining
An overview of the controversy surrounding uranium mining with a focus on the Jabiluka mine controversy in Australia. -- 1,282 words; 3 sources; MLA
www.termpapers2000.com

Data Mining
Examines the benefits of data mining to an organization. -- 3,397 words; 5 sources; MLA
www.termpapers2000.com

Data Mining
An exploration of the tools and equipment used in data mining. -- 3,476 words; 12 sources; MLA
www.termpapers2000.com
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