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    Harms of Gold Mining

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    20122 March 22‚ 2012 HARMS OF GOLD MINING History of gold is as old as history of humanity. Gold has always been valuable and popular. Since it hardly loses its glitter and it never gets oxidized. However‚ obtaining gold is not an easy process. People have to use cyanide or some other harmful chemicals to acquire gold. Also after this process very harmful toxic wastes are occurred. Thus gold mining has drastic effects on water‚ earth and air. Firstly‚ gold mining can has devastating effect on water

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    which were created to provide transport to people who needed to move to other countries‚ transportation of agricultural‚ mining and farming goods‚ help the countries to “spring up along the way” by promoting the commerce because people could travel all around the continent paying a low cost. Those people from different parts of the continent who visited the West could buy some mining stuff or cattle to the farmers. The other way was when the miners and farmers used the railroad to transport their stuff

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    Big Data

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    Big DataData Mining and Business Intelligence Techniques 2 What is Data? • Data is information in a form suitable for use with a computer. • There are two types of data ▫ Structured ▫ Unstructured • The total volume of data is growing 59% every year. • The number of files grow at 88% every year. 3 What is Big Data? Exa Analytics on Big Data at Rest Up to 10‚000 Times larger Peta Data Scale Giga Data at Rest Tera Data Scale Mega Traditional Data Warehouse

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    Financial Data Mining

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    the stock prices by using trends‚ patterns‚ moving averages observed from historical data. However‚ there have been a certain number of people criticizing the use of past data. Among these people‚ a French mathematician‚ Louis Bachelier raised a theory called Efficient Market Hypothesis more than a century ago. The theory states that stock prices follow a random walk‚ which discouraged the study of historical data. This is very controversial and has led to an ever lasting dispute about the reliability

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    Data Science and Prediction

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    http://hdl.handle.net/2451/31553 Data Science and Prediction Vasant Dhar Professor‚ Stern School of Business Director‚ Center for Digital Economy Research March 29‚ 2012 Abstract The use of the term “Data Science” is becoming increasingly common along with “Big Data.” What does Data Science mean? Is there something unique about it? What skills should a “data scientist” possess to be productive in the emerging digital age characterized by a deluge of data? What are the implications for business

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    I. Introduction Mining is one of the biggest issues all over the world. It is also one of the great contributing factors in economic progress‚ health related and environmental issues. Mining is the extraction of valuable materials and non-renewable resources such as petroleum‚ natural gases‚ or even water from the earth‚ from an ore body‚ lode‚ vein‚ seam or reef‚ which forms mineralized package economic interest of miner. It is required to obtain any material that cannot be grown through agricultural

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    DIAMOND AND GOLD MINING PROJECT IN SIERRA LEONE [pic] 9.25 CT DIAMOND FROM SIERRA LEONE CONTENTS 1. GENERAL 2. INITIAL REQUIREMENTS GENERAL For the last 2 years our company has been closely following the Sierra Leanean diamond “Industry” if we can call it that. Sierra Leone is a small country in West Africa mainly known because of the bloody and vicious civill war which ended about 3 years ago. I have visited this country a few times – each time for a period

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    The Nickel Ore Mining Industry on Un-Kodak Zone An Industry Analysis The picture of the nickel ore mining industry—or the mining sector‚ in general—is not as impressive as the tourism‚ construction‚ and Business Process Outsourcing (BPO) industries. It has been sapped by social problems‚ which resulted in it being portrayed as a growth dragger rather than a growth driver. The industry players‚ particularly the large-scale miners‚ are plagued by complains and riots from natives located in the

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    A Knowledge-Based Data Mining System for Diagnosing Malaria Related Cases in Healthcare Management Olugbenga Oluwagbemi 1‚ Uzoamaka Ofoezie2 ‚ Nwinyi‚Obinna 3 1Rochester Institute of Technology‚ 28 Lomb Memorial Drive‚ Rochester NY 14623‚ Rochester ‚ New York‚ USA 2 (Bioinformatics Unit) Departments of Computer and Information Sciences School of Natural and Applied Sciences College of Science and Technology‚ Covenant University‚ Ogun State‚ Nigeria. 3Department of Biological sciences

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    Bibliography: Corcoran‚ Maureen T. Taking On Black Lung. N.p.‚ 18 Oct. 2010. Web. 18 Oct. 2010. . Corcoran‚ Patrick. Mining Regulators Set Ambitious Goal: Ending Black Lung. N.p.‚ 18 Oct. 2010. Web. 18 Oct. 2010. . Fears‚ Niki. Death by Coal: Safety and Health Issues The Coal Business Does Not Tell You About . Ed. Niki Fears. N.p.‚ 28 Mar. 2010. Web. 17 Oct. 2010. < http://www

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