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    BLACK SAND MINING : Sand has become a very important mineral for our society due to its many uses. It can be used for making concrete‚ filling roads‚ building sites‚ brick-making‚ making glass‚ sandpapers‚ reclamations‚ and etc. The advantage of black sand mining is that the black sand is the one of the raw materials that used in making a metal that we used in building different establishments and buildings and also our houses. Aside from that ‚ families that is near in the black sand mining will have

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    Antarctica is a continent which is rich in minerals but due to the Antarctic treaty mining has been banned from this area. I strongly agree that people should not mine this area for many reasons. They include‚ breakdown of peace‚ destruction of the environment‚ no major gain for the world‚ it would encourage disputes between the countries who have claimed a piece of Antarctica and it is against the laws of the treaty. Firstly‚ Antarctica is the one and only continent in the world which has never

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    Data Mining Assignment 4 Shauna N. Hines Dr. Progress Mtshali Info Syst Decision-Making December 7‚ 2012 Benefits of Data Mining Data mining is defined as “a process that uses statistical‚ mathematical‚ artificial intelligence‚ and machine-learning techniques to extract and identify useful information and subsequent knowledge from large databases‚ including data warehouses” (Turban & Volonino‚ 2011). The information identified using data mining includes patterns indicating trends‚ correlations

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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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    Data mining

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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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    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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    Thesis Statement: The continuous mining in Palawan will cause degradation of the soil‚ denuding of the forests and extinction of animal and plant species thus lowering its’ biodiversity. Biological diversity‚ or biodiversity‚ encompasses the variety and abundance of plants‚ animals‚ and microorganisms as well as the ecosystems and ecological processes to which they belong. (Braatz‚ 1992) The word came from the Latin “bios” which means life and “diversitas” which means variety or differences which

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    sulfide mining. In Minnesota the conventional taconite and iron mining have not generally gone to arrange. In the 1960’s taconite was extremely mainstream in the economy‚ however in the following forty years a great deal of mining organizations shut down because of high rivalry. Nationals crosswise over Minnesota are not just terrified that a similar thing will happen‚ they are frightened of the dangers on sulfide mining and how it could influence them and their day by day lives. Sulfide mining is ended

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    Asia/Pacific demand China has shown strong growth in mining equipment demand‚ a direct result of investment in its local mining industry. For example‚ coal output nearly doubled from 2001 to 2006‚ reflecting the nation’s intense need for energy. China is also a major source of commodities such as iron ore and bauxite. Other major Asian markets for mining equipment include Australia and India. Like China‚ India has experienced a major growth in coal output. Australia is a leading producer of bauxite

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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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