DEGREE OF Bachelor of Technology in Mining Engineering By SUDIP DAS Roll: 10605038 DEPARTMENT OF MINING ENGINEERING NATIONAL INSTITUTE OF TECHNOLOGY‚ ROURKELA 2010 ANALYSIS AND INTERPRETATION OF FINANCIAL STATEMENTS: CASE STUDIES THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF Bachelor of Technology in Mining Engineering By SUDIP DAS Roll: 10605038 Under the guidance of Prof. D.P.TRIPATHY DEPARTMENT OF MINING ENGINEERING NATIONAL INSTITUTE OF TECHNOLOGY
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Systems with Applications journal homepage: www.elsevier.com/locate/eswa Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty Seyed Mohammad Seyed Hosseini *‚ Anahita Maleki‚ Mohammad Reza Gholamian Industrial Engineering Department‚ Iran University of Science and Technology‚ Tehran‚ Iran a r t i c l e i n f o a b s t r a c t Data mining (DM) methodology has a tremendous contribution for researchers to extract the hidden knowledge and information
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[公司法]B.I.S. CONSULTANTS LTD. v DAO HENG BANK LTD.[诉讼].[香港] [案件事实]Facts: The plaintiff brought these proceedings in order to obtain an account from the defendant for the proceeds of sale of a property‚ formerly owned by the plaintiff‚ sold in a mortgagee sale by the defendant‚ pursuant to orders in separate proceedings between the same parties. The plaintiff sought an order for interim payment‚ under R.S.C Order 29‚ rules 10 and 12‚ of part of the proceeds of sale which was surplus to the amount claimed by the mortgagee
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INDIAN INSTITUTE OF MANAGEMENT‚ INDORE Post Graduate Programme – Term IV – AY 20012-13 Business Intelligence And Data Mining Group Assignment on NGO Donations Maximization Abstract The problem is associated to devising a strategy to maximize the profits from a Direct Marketing Campaign to a selected group of customers while minimizing costs . The exercise requires the use of Business Intelligence tools and techniques to build a model ‚ trained and tested on the historical data
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EXECUTIVE SUMMARY The attached report analyzes the financial position of Semirara Mining Corporation. Semirara Mining Corporation is a publicly-listed mining company and a subsidiary of the DMCI Holdings‚ Inc. The company is engage in the business of coal mining and coal production. As of now‚ Semirara Mining Corporation is the only large-scale coal producer in the Philippines and is engaged in surface open cut mining of thermal coal from its Panian mine on Semirara Island‚ in the Antique Province
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JSB Market Research : Coal Mining in India to 2020 Released On 20th June 2014 Synopsis Coal Mining in India to 2020 provides historical and forecast data on coal production by grade and by type‚ reserves‚ consumption by type and trade by type to 2020. The trade section provides information on export as well as import volume. The report also includes drivers and restraints affecting the industry‚ profiles of major coal mining companies‚ information on the major active‚ exploration and
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large-crusher.com/german-quarry-and-mining-stone-crushing-equipment-model/ Quarry and mining stone Crushing Equipment refers to the production line in which the stones and rocks are exploited from mines. In quarry plant‚ stone mining crusher and grinding mill will be adopted. Quarry and mining stone Crushing Equipment Model consists : jaw crusher‚ impact crusher‚ cone crusher‚ fine crusher‚ roll crusher‚ hammer crusher‚ mobile crushing station‚ etc. The mining machine is the mechanical equipment
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Knowledge-Based Visualization to Support Spatial Data Mining Gennady Andrienko and Natalia Andrienko GMD - German National Research Center for Information Technology Schloss Birlinghoven‚ Sankt-Augustin‚ D-53754 Germany gennady.andrienko@gmd.de http://allanon.gmd.de/and/ Abstract. Data mining methods are designed for revealing significant relationships and regularities in data collections. Regarding spatially referenced data‚ analysis by means of data mining can be aptly complemented by visual exploration
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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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Introduction: Recently‚ research in Human Resource (HR) activities that are embedded with Data Mining Techniques can solve unstructured and indistinct decision making problems. Human Resource Management (HRM) activities can facilitate to take fair and consistent decisions‚ and to improve the effectiveness of decision-making processes. Besides the challenges for HR Professionals to manage the organizational decisions and talents‚ especially they have to ensure that the selection of a right
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