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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Chile’s Mining Accident Submitted to: Kajali Shehrin Islam Course teacher (Mass communication theories-206) Mass Communication and Journalism University of Dhaka. Submitted by: Iffat Ara Roll-14 3rd batch‚ 4th semester Mass Communication and Journalism University of Dhaka. Chile’s mining accident
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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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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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Role Mining - Revealing Business Roles for Security Administration using Data Mining Technology Martin Kuhlmann Dalia Shohat SYSTOR Security Solutions GmbH Hermann-Heinrich-Gossen-Strasse 3 D 50858 Cologne [martin.kuhlmann|dalia.shohat] @systorsecurity.com Gerhard Schimpf SMF TEAM IT-Security Consulting Am Waldweg 23 D 75173 Pforzheim Gerhard.Schimpf@smfteam.de ABSTRACT In this paper we describe the work devising a new technique for role-finding to implement Role-Based Security Administration
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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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Concerning Mountain Top Removal Mining There is an ongoing battle over the everlasting debate of mountain top removal mining. With every object at the center of a controversy there are bound to be many arguments by all sides. Most arguments are biased and others lack efficient sources or credibility to obtain a reasonable conclusion. This paper will dissect all angles of the meaningful arguments and help develop a conclusion on the aspects of mountain top removal mining and its effects to its surrounding
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