resources. One of such activities is mining. Thus‚ mining became an important activity which has potential for the contribution of development of areas enriched with resources. Having visited Surigao Del Norte once a month starting February until August of this year‚ I was deeply frustrated by the negative impact of mining in the province. I saw how communities affected by mining. I heard how indigenous people had been shifted off their lands to make way for mining and how their consultation rights
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As the development of science and technology‚ hydraulic mining machine has become more and more popular in mining processing. In order to be able to reach the world advanced level‚ we have to recognize the difference‚ and constantly improve their standards. How is about hydraulic mining machine? Advantages of hydraulic mining machine: 1. High production capacity‚ 2. Easy maintenance‚ 3. Stable performance‚ 4. Low consumption. 5. Equiped with hydraulic system of safety oil cylinder
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Gold Mining Industry Analysis By: Robert 6/6/2010 The Gold Mining Industry has experienced a huge amount of growth since the beginning of the financial crisis. With the price of gold being at $639 in January 2007 before the beginning of the financial crisis and now in June 2010 the price of gold reaching $1220‚ there is no denying the interest of gold between investors and governments. Investors are seeking ways to protect themselves from inflation and any other type of financial crisis that
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3. DATA MINING TECHNIQUES 3.1 NECESSITY OF DATA MINIING DATA Data is numbers or text which is a statement of a fact. It is unprocessed and stored in database for further analysis. Operational and transaction data such as cost and sales‚ is essential to modern enterprise’s internal environment. Non-operational data such as competitors’ sales and forecasting data‚ is responsible for analysis of external environment. INFORMATION Information is generated through data mining so that it becomes
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CRITICAL ARTICLE REVIEW “Mining is a capital intensive business‚ so a small increase in mining productivity will often result in savings of millions of dollars” (Topal & Ramazan‚ 2010). For this reason‚ many researchers are focused on developing and improving mathematical models to optimize different mining process. Aiming to increase the Net Present Value of underground mines Nehring‚ Topal‚ Kizil and Knights in Integrated short- and medium-term underground mine production scheduling present
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Latin America Mining Equipments Market Share‚ Global Trends‚ Analysis‚ Research‚ Report‚ Opportunities‚ Segmentation and Forecast‚ 2014 Future Market Insights www.futuremarketinsights.com sales@futuremarketinsights.com Report Description Report Description The mining industry is expected to witness growth with a single digit CAGR over the next six years on account of the further expanding demand for metal and mineral commodities. Latin America accounted for about 8% of the global mining equipment
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Assignment : Data Mining Student : Mohamed Kamara Professor : Dr. Albert Chima Dominic Course : CIS 500- Information Systems for Decision Making Data : 06/11/2014 This report is an analysis of the benefits of data mining to business practices
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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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Establishing a Center of Excellence for Data Mining in Egypt By: Aref Rashad I- Introduction The convergence of computer resources connected via a global network has created an information tool of unprecedented power‚ a tool in its infancy. The global network is awash with data‚ uncoordinated‚ unexplored‚ but potentially containing information and knowledge of immense economic and technical significance. It is the role of data mining technologies arising from many discipline areas to convert
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Mining Changes for Real-Life Applications Bing Liu‚ Wynne Hsu‚ Heng-Siew Han and Yiyuan Xia School of Computing National University of Singapore 3 Science Drive 2 Singapore 117543 {liub‚ whsu‚ xiayy}@comp.nus.edu.sg Abstract. Much of the data mining research has been focused on devising techniques to build accurate models and to discover rules from databases. Relatively little attention has been paid to mining changes in databases collected over time. For businesses‚ knowing what is changing and
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