led to an ever lasting dispute about the reliability of technical analysis. Nonetheless‚ people’s curiosity about past data has never gone. Being different from the vast majority who use typical technical analysis‚ we decide to use predictive data mining techniques which we regard as interesting and accurate in our forecasting. Forecasting is an uncertain process and therefore a high accuracy is demanded. There are many forecasting techniques in the world. In general‚ they can be classified into
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Position: The mining industry is in the mature phase of the Industry life cycle‚ with established firms having a stronghold in the industry and specific products and regions. There is scope for further consolidation within the firms in the industry and expected returns are high as the global mining index has outperformed the overall market indices. b. Business Cycle: The mining industry is a cyclical industry as the change in GDP affects the change in Earnings per share of mining companies
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GROUP PRESENTATION BY: RIDA WAHID SHAFIA ASKARI DANIYAL ARSHAD 2 OUTLINE DBMS DATA MINING APPLICATIONS RELATIONSHIP 3 DATA BASE MANAGEMENT SYSTEM A complete system used for managing digital databases that allow storage of data‚ maintenance of data and searching data. 4 DATA MINING Also known as Knowledge discovery in databases (KDD). Data mining consists of techniques to find out hidden pattern or unknown information within a large amount of
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GOLD MINING AND THE ENVIRONMENT Dirty gold mining has ravaged landscapes‚ contaminated ecosystems with toxic waste and resulted in widespread water pollution. Cyanide and mercury‚ two highly toxic substances‚ have been released freely into the environment as a result of dirty gold mining. TOXIC WASTE Toxic waste is a devastating consequence of dirty gold mining practices. Cyanide heap leaching is the cheapest way to extract gold and as a result‚ is commonly used around the world. The process leaves
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directly contributes in our national economy. Among various natural resource‚ only two natural resources and their management status was observed. Hard rock- Maddhyapara Hard Rock Mining Company Limited (MHMCL)‚ Dinajpur. Coal- Barapukuria Coal Mining Company Limited (BCMCL)‚ Dinajpur. 1.2.1- Maddhyapara Hard Rock Mining Company Limited (MHMCL) This company formed to accelerate the construction works of Maddhyapara mine and operate the Maddhyapara Hard Rock Mine Project of Petrobangla at Dinajpur
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2014 National University of Mongolia Summer school programs 2014 Contents The National University of Mongolia (NUM) Overview of NUM Summer School Description of Programs: Mongolian Language and Culture Anthropology and Archaeology Mining Economy General Information Summer School 2013 Participants’ Impressions How to Apply 1. Gorkhi Terelj 2. Naadam festival 3. Gandan Monastery 4‚ 5. Umnugovi province‚ 6. Bogd Khaan’s museum 7. Central stadium(during the Naadam festival)
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HRM 410 Group- A BACKGROUND AMC Moves to Colombia: AMC was one of the leading coal mining company in America for a long period of time and it was among the top 300 largest private companies in America before it shifted to Colombia. AMC had a reputation of providing high quality coal‚ reliable delivery and excellent service. AMC told its workers that the company would not transfer its operations to abroad but they did eventually. AMC moved to Colombia because the country provided some very crucial
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where it should be - it has been misplaced or corrupted. Re-assembling information can consume weeks of their time and can dramatically reduce exploration productivity and the quality of decision-making. Of all the information assets held by a mining company‚ exploration data is likely to be one of the largest as measured in bytes‚ paper volume and dollar value. An exploration group can store terabytes of digital information‚ including airborne geophysics‚ ground geophysics‚ geochemical data
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ITKM Analysis of Data Mining The article Data Mining by Christopher Clifton analyzed how different types of data mining techniques have been applied in crime detection and different outcomes. Moreover‚ the analysis proposed how the different data mining techniques can be used in detection of different form of frauds. The analysis gave the advantages and disadvantages of using data mining in different operation. The major advantage was that data mining enables analysis of large quantities
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Deep Ocean Mining Part 2 Deep ocean mining is an alternative to land mining in search of minerals such as copper‚ gold‚ manganese or cobalt among other minerals. The minerals on land are being depleted owing to the increasing demand for these minerals‚ and this makes the deep sea bed an alternative to the exploitation of minerals. The fact that the water bodies cover a huge part of earth’s surface makes deep sea mining even more viable
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