I.Introduction Philippines’ minerals are the country’s assets‚ many mining applications and projects in the Philippines are also in small islands with fragile ecosystems that are also highly vulnerable to natural and climate hazards. The Philippines is one of the richest mining deposits globally. According to estimates‚ the Philippines have the fifth largest reserve of minerals in the world. It has the world’s 3rd largest gold‚ 4th largest copper‚ and 5th largest nickel reserves. The Intellasia
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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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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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CS 450 Data Mining‚ Fall 2014 Take-Home Test N#1 Date: September 22nd‚ 2014 Final deadline for submission September 29th‚ 2014 Weighting: 5% Total number of points: 100 Instructions: 1. Attempt all questions. 2. This is an individual test. No collaboration is permitted for assessment items. All submitted materials must be a result of your own work. Part I Question 1 [20 points] Discuss whether or not each of the following activities is a data mining task. • Dividing
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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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necessity for a businesses trying to maximize its profits. A new‚ and important‚ tool in gaining this knowledge is Data Mining. Data Mining is a set of automated procedures used to find previously unknown patterns and relationships in data. These patterns and relationships‚ once extracted‚ can be used to make valid predictions about the behavior of the customer. Data Mining is generally used for four main tasks: (1) to improve the process of making new customers and retaining customers; (2) to
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Introduction Denver-Based New Earth Mining‚ one of the largest US precious metal producers‚ was enjoying rapid growth in earnings with the continued improvement of its operating margins. New Earth Mining had accumulated a large amount of cash on its balance sheet. It had a simple debt structure and a reasonable leverage ratio with no significant risk of liquidity. With its strong financial condition and the desire to diversify its business though new capital investments rather than acquisition‚
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governing the minerals industry in the Philippines is contained in Republic Act No. 7942 (otherwise known as the Philippine Mining Act of 1995) and given flesh by its revised implementing rules and regulations (Administrative Order No. 96-40) and its subsequent amendments. These policies advocate the sustainable development of mineral resources in the country. While both the Mining Act and its regulations provide a strong focus on environmental and social management‚ they continue to be the subject
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Data Mining Information Systems for Decision Making 10 December 2013 Abstract Data mining the next big thing in technology‚ if used properly it can give businesses the advance knowledge of when they are going to lose customers or make them happy. There are many benefits of data mining and it can be accomplished in different ways. The problem with data mining is that it is only as reliable as the data going in and the way it is handled. There are also privacy concerns with data mining
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initially seen for her monochorionic twin gestation. At that time‚ the plan was to follow-up through your office. She was referred last week for transfer of care and is now being followed through our office. At last weeks ultrasound there was a fairly significant discordance at 31%‚ although twin A was not IUGR. She is here today for twin-to-twin transfusion syndrome check. On ultrasound there is a live monochorionic twin gestation. Twin A is breech and twin B is cephalic. Amniotic fluid appears
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