Project Topic 1: What is the Impact of Mining on South Africa and its people? GOLD Authors: Michelle Dandara‚ Kirsten Collins‚ Robyn Blench‚ Yumna Badrooien and Sonia Mataramvura Date of Completion: 17 February 2012 Teacher: Mr Altern Abstract Mining plays a very important role in South Africa: it is one of the driving forces behind South Africa’s booming economy and provides employment for millions of South Africans. South Africa boasts world-scale primary mining processing facilities and is a world
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In the “Pit in the Pendulum “ by Edgar Allan Poe the ere setting‚ vivid gripping imagery ‚ and vigurative language creates the mood of tension. Through the use of a bleak setting Poe stirs up the mood of suspense. When examining the cell for the first time the narrator describes it as "the entire surface of this metallic enclosure was rudely daubed in all the hideous and repulsive devices to which the ... superstitions of the monks have given rise"(Poe 567). Examining the area the narrator is trapped
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like some sedimentary material. Also weathering may have contributed to the failing slopes as the orange color appears to be a lighter color orange There was a large volume of loose rock that had been dumped in the upper portion of the slope due to mining making the slope where the slide happened unstable. 1 Vegetation Conditions None Warning Signs of failure prior to event Yes‚ there were warning signs. There were signs of the mine’s wall slipping a millimeter or so each day in February.
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with failure analysis for condition monitoring (CM). Before applying CM one shall investigate a key point in monitored machinery‚ what tools and methods need to be applied in order to minimise the cost of CM in harsh industrial environment as an open pit or underground mine is. The paper focus on the first step in condition‚ i.e. estimation of the scale of a problem: the most frequent failures‚ types and the location of failures and their importance in the context of maintenance of a conveyor belt
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Mining in the Philippines Concerns and conflicts Report of a Fact-Finding Trip to the Philippines July-August 2006 Acknowledgments The Fact Finding Mission wishes to thank all those who took time to meet with us. The right to enjoy human rights and development is universal. We wish to encourage any and all communities and local authorities adversely affected by mining impacts to continue to explore and pursue all avenues available within the law at local‚ national and international levels
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Web Mining Data mining is the nontrivial process of identifying valid novel‚ potentially useful‚ and ultimately understandable patterns in data – Fayyad. The most commonly used techniques in data mining is artificial neural networks‚ decision trees‚ genetic algorithm‚ nearest_neighbour method‚ and rule induction. Data mining research has drawn on a number of other fields such as inductive learning‚ machine learning and statistics etc. Machine learning – is the automation of a learning process
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Question 1: Case One –eBay Q1.1. Discuss the relationships between business intelligence‚ data warehouse‚ data mining‚ text and web mining‚ and knowledge management. Justify and synthesis your answers/viewpoints with examples (e.g. eBay case) and findings from literature/articles. To understand the relationships between these terms‚ definition of each term should be illustrated. Firstly‚ business intelligence (BI) in most resource has been defined as a broad term that combines many tools and technologies
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Data Mining: What is Data Mining? Overview Generally‚ data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue‚ cuts costs‚ or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles‚ categorize it‚ and summarize the relationships identified
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WEB MINING: AN INTRODUCTORY APPROACH Lavalee Singh1 Arun Singh2 1 M.Tech (C.S.) Student IIMT Engineering College Meerut (U.P.) India lovely_198631@rediffmail.com 2Associate Professor IIMT Engineering College Meerut (U.P.) India
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Stock Exchange forecasting with Data Mining and Text Mining (Marketing and Sales Analysis) Full names : Fahed Yoseph TITLE : Senior software and Database Consultatnt (Founder of Info Technology System) E-mail: Yoseph@info-technology.net Date of submission: Sep 15th of 2013 CONTENTS PAGE Chapter 1 1. ABSTRACT 2 2. INTRODUCTION 3 2.1 The research problem. 4 2.2 The objectives of the proposal. 4 2.3 The Stock Market movement. 5 2.4 Research question(s). 6 2. Background 3. Problem
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