Feasibility of fire-powered Coal Mining in Negros Nowadays‚ fire-powered coal mining here in Negros is not so feasible because of lot of people complaining with regards the harmful effects to human life and in our environment. We have known coal mining in Calatrava but unfortunately the operation is being suspended since it was raid by the NPA last June 2008. The resumption of the operation is not yet known until now. Another thing is‚ many of the activists are calling for help to stop mine operation
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Russian Association of Indigenous Peoples of the North (RAIPON) INTERNATIONAL EXPERT GROUP MEETING ON INDIGENOUS PEOPLES AND PROTECTION OF THE ENVIRONMENT KHABAROVSK‚ RUSSIAN FEDERATION AUGUST 27.-29‚ 2007 Case Study on the Impacts of Mining and Dams on the Environment and Indigenous Peoples in Benguet‚ Cordillera‚ Philippines Paper by CORDILLERA PEOPLES ALLIANCE I. Background Land and People of Benguet The Cordillera region in Northern
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Presently‚ Business Intelligence (BI) analysis solutions are manually operated which makes it time consuming and difficult for users to extract useful information from a multidimensional set of data. Henceforth‚ by applying Data Mining (DM) algorithms for Business Intelligence‚ it is possible to automate the analysis process‚ thus comes the ability to extract patterns and other important information from the data set. Understanding the reason why Data Mining is needed in Business Intelligence and
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Use of Data Mining in Fraud Detection Focus on ACL Hofstra University Abstract This paper explore how business data mining software are used in fraud detection. In the paper‚ we discuss the fraud‚ fraud types and cost of fraud. In order to reduce the cost of fraud‚ companies can use data mining to detect the fraud. There are two methods: focus on all transaction data and focus on particular risks. There are several data mining software on the market‚ we introduce seven
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Module Title: Cases in Marketing Banner Code: 07 15824 Lecturer: Inci Toral Assignment Title: Case Study: Target the Right Market Word Count: 1246 ID number: 1291160‚ 1207270‚ 1249898‚ 1228189 and 1259957 An essay Submitted to Graduate Diploma in Business Administration Year 2‚ 2013 Birmingham‚ United Kingdom 11th‚ March 2013 Introduction This report explores case study of SparkPlace that was originally influenced by the case of HubSpot: Inbound Marketing and Web 2.0 (Steenburgh
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// FREQUENT SUBTREE MINING ALGORITHM... #include #include #include #include #include #include using namespace std; FILE *fp; int no_of_nodes=0‚ string_ctr=0‚ vect_ctr=0‚ vect_ctr1=0‚pos_ctr=0‚*pos; struct MyNode { string name; vector children; }*myroot‚ *myroot1‚ **tree_pattern‚ **subtree_pattern; //FUNCTION PROTOTYPES DECLARATION ... static void print_element_names(xmlNode *); static MyNode* preprocess(xmlNode *‚MyNode *‚ int); int printMyNode(MyNode *); void
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UNIVERSITY OF CEBU LAPU-LAPU AND MANDAUE A.C. Cortes Avenue‚ Looc Mandaue City Case Analysis In Partial Fulfillment of Retail Franchising Submitted by: Christine E. Badelic Submitted to: Mr. Jhun Veril Jr. CASE AGIANST FORD AND FIRESTONE I – Summary Ford-Firestone case is a unique and an appropriate example of violation of business ethics by two renowned corporations. Ford Motor Company and Fire Stone Tire Company. Each of which was the manufacturer of a “different product
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Case 1: Joan I-Statement of the Problem Why Joan need more money or assistant? II- Objective of the study A. To identify Joan problem. III- Alternative Courses of Action Action 1: The solution Joan need more money and assistant and the manager should made it and give her freedom. IV- Analysis A. Positive Reaction If Joan will be given a freedom the management would find new one better than her and screened it to the fullest for her job description. B. Negative Reaction The company would
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Mining law in the Northern Territory is unique. To take into account the variation in land ownership‚ the NT Government has through the Mineral titles Act developed a legal process to ratinalise a wide range of mining tenements by converting these titles so that they can be more actively explored. The Northern Territory Government recognises that the private sector is the most able developer of mineral resources‚ and hence through the Mineral Titles Act allows the private sector and open access
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model and try apply the class survived or didn’t survive. If I apply a decision tree to the dataset as it is‚ I get a prediction rate of 78%. I will try various techniques throughout this report to increase the overall prediction rate. Data mining objectives: I would like to explore the pre conceived ideas I have about the sinking of the titanic‚ and prove if they are correct. Was there a majority of 3rd class passengers who died? What was the ratio of passengers who died‚ male or female
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