Commentary On: Bauxite Mining Issue in Orissa. (Draft #1; I’ve just done my research and written up‚ i still have to put it all together‚ produce graphs and more) Article link : http://www.guardian.co.uk/business/2010/aug/24/vedanta-mine-plan-halted-indian-government In a conference or board meeting room‚ business leaders should get down to the nitty-gritty interest‚ such as minimizing social cost instead of minimizing private costs. Often long-term environmental damage is overlooked by short-term
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Mid Term Exam 15.062 Data Mining Problem 1 (25 points) For the following questions please give a True or False answer with one or two sentences in justification. 1.1 A linear regression model will be developed using a training data set. Adding variables to the model will always reduce the sum of squared residuals measured on the validation set. 1.2 Although forward selection and backward elimination are fast methods for subset selection in linear regression‚ only step-wise selection is guaranteed
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BSBHRM501B- Manage Human Resources Services. Morobe Mining Joint Ventures (PNG) Human Resources Services. Chosen Area: Career management Services: Dealing with complaints Implementing new legislation and laws Mentoring and coaching WH&S ‚ pay role i.e. leave entitlement Recruitment/ advertising Training for possible advancement Strategic and Operational Plans: Valuing our employees: By making all employees
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Data Warehouses and Data Marts: A Dynamic View file:///E|/FrontPage Webs/Content/EISWEB/DWDMDV.html Data Warehouses and Data Marts: A Dynamic View By Joseph M. Firestone‚ Ph.D. White Paper No. Three March 27‚ 1997 Patterns of Data Mart Development In the beginning‚ there were only the islands of information: the operational data stores and legacy systems that needed enterprise-wide integration; and the data warehouse: the solution to the problem of integration of diverse and often redundant
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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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Introduction to Data Mining Summer‚ 2012 Homework 3 Due Monday June.11‚ 11:59pm May 22‚ 2012 In homework 3‚ you are asked to compare four methods on three different data sets. The four methods are: • Indicator Response Matrix Linear Regression to the Indicator Response Matrix. You need to implement the ridge regression and tune the regularization parameter. The material of this algorithm can be found in Page 103 to Page 106 in the book ”The Elements of Statistical Learning” (http://www-stat
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Bethesda Mining Company To be able to analyze the project‚ we need to calculate the project’s NPV‚ IRR‚ MIRR‚ Payback Period‚ and Profitability Index. Since net working capital is built up ahead of sales‚ the initial cash flow depends in part on this cash outflow. So‚ we will begin by calculating sales. Each year‚ the company will sell 600‚000 tons under contract‚ and the rest on the spot market. The total sales revenue is the price per ton under contract times 600‚000 tons‚ plus the spot market
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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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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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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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