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    Newmont Mining

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    for NewMont Mining in Indonesia NewMont Mining Corp. is the one of the world’ leading gold company‚ headquartered in Denver‚ Colorado. The company employs approximately 15‚000 people‚ the majority of whom work at Newmont’s mines sites in the United States‚ Australia‚ Peru‚ Indonesia‚ Bolivia‚ New Zealand and Mexico. NewMont Mining Corp. began to operate two mines in Indonesia in 1996‚ one in Batu Hijau on the island of Sumbawa and Minahasa Raya on the island of Sulawesi. NewMont Mining faced several

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    OK Tedi Mining Case Study

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    Tedi mining is one of the mining company that has caused a lot of damages to its environment .And for global warming its now real issue in the pacific where Globalization has open up labour market which influence the greater movement of Professionals and skill workers. Some countries find it difficult to hold onto their best employees who are attracted by higher wages elsewhere. This is happening in Papua New Guinea especially in the mining and aviation industry. Multinational companies like

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    Responsible Mining

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    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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    Diamond Mining

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    DIAMOND MINING AND ITS IMPACT ON ENVIROMENT * Diamond is the strongest natural mineral known by a man. It is a crystalline form of carbon. * Composed primarily individual crystals of a cubic appearance. * There are three main uses for Diamonds * Industrial * Fashion (only 5% of diamonds) * Investment Approximately 130‚000‚000 carats (26‚000 kg) of diamonds are mined yearly‚ with a total value of nearly US$9 billion‚ and about 100‚000 kg are

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    to manage. Therefore‚ mining or extracting association rules from large amount of data in the database is interested for many industries which can help in many business decision making processes‚ such as cross-marketing‚ basket data study‚ and promotion assortment. From the beginning‚ Frequent Itemset Mining (FIM) is one of the most well known techniques which is concerned with extracting the information from databases based on regularly

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    Data Mining

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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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    Coal Mining

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    mentioned faults are considered. The examples of failures and time related to replacement or repair have been provided. 1. INTRODUCTION Condition monitoring in mining industry is not as well developed as it is in other branches (i.e. power engineering‚ oil industry etc). One of the reasons is that mine is the specific kind of company with harsh environment and dissipation of assets in wide area. There are a lot of different mechanical systems in a lignite mine but one of the most important is a

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    Chemistry and Mining

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    Stoichiometry in the Industry (Mining Industry) Prepared By: Ryan Khan and Michael McDonald Course code: SCH3U1 Teacher: Miss Kedzia Due Date: 22/4/2013 Date Submitted: 22/4/2013 What Is Stoichiometry? Stoichiometry as defined by our textbook is “the study of the quantitative relationships among the amounts of reactants used and the amounts of products formed in a chemical reaction”. Basically‚ Stoichiometry is the science of counting and studying the relationship between the amounts

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    Web Mining

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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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    Web Mining

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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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