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 is a concept that companies use to gain new customers or clients in an effort to make their business and profits grow. The ability to use data mining can result in the accrual of new customers by taking the new information and advertising to customers who are either not currently utilizing the business ’s product or also in winning additional customers that may be purchasing from the competitor. Generally‚ data are any “facts‚ numbers‚ or text that can be processed by a computer.” Today
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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: 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 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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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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SMS CUSAT Reading Material on Data Mining Anas AP & Alex Titty John • What is Data? Data is a collection of facts and information or unprocessed information. Example: Student names‚ Addresses‚ Phone Numbers etc. • What is a Database? A structured set of data held in a computer which is accessible in various ways. Example: Electronic Address Book‚ Phone Book. • What is a Data Warehouse? The electronic storage of large amount of data by business. Concept originated in
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Introduction to Adit Mining Adit mining is a method of extract minerals from earth horizontally. An adit is a type of entrance to an underground mine which is horizontal or nearly horizontal. Adits are usually built into the side of a hill or Mountain‚ and often occur when a measure of coal or an ore body is located inside the mountain but above the adjacent valley floor or coastal plain. In cases where the mineral vein outcrops at the surface‚ the adit may follow the vein until it is worked
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Data Mining Weekly Assignment 6: LIFT; CRM; AFFINITY POSITIONING; CROSS-SELLING AND ITS ETHICAL CONCERNS. What is meant by the term “lift”? The term “lift” describes the improved performance of an exact or specific amount of effort on a modeled sampling‚ as opposed to a random sampling (Spang‚ 2010). In other words‚ if you are able to market via a model to say‚ a given number of random customers (e.g. 1000)‚ and we expect that 50 of them would be successful‚ then a model that can generate 75
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