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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I. Introduction Mining is one of the biggest issues all over the world. It is also one of the great contributing factors in economic progress‚ health related and environmental issues. Mining is the extraction of valuable materials and non-renewable resources such as petroleum‚ natural gases‚ or even water from the earth‚ from an ore body‚ lode‚ vein‚ seam or reef‚ which forms mineralized package economic interest of miner. It is required to obtain any material that cannot be grown through agricultural
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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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DIAMOND AND GOLD MINING PROJECT IN SIERRA LEONE [pic] 9.25 CT DIAMOND FROM SIERRA LEONE CONTENTS 1. GENERAL 2. INITIAL REQUIREMENTS GENERAL For the last 2 years our company has been closely following the Sierra Leanean diamond “Industry” if we can call it that. Sierra Leone is a small country in West Africa mainly known because of the bloody and vicious civill war which ended about 3 years ago. I have visited this country a few times – each time for a period
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Many argue that we should reduce foreign oil dependency by reducing our consumption and by drilling for oil right here in the U.S. For approximately forty years‚ a debate has been brewing about oil exploration and drilling in the Arctic National Wildlife Refuge. The Arctic National Wildlife Refuge (ANWR) is 19‚000‚000 acres of land in northern Alaska‚ a U. S. state."It is the largest protected wilderness in the United States and was created by Congress under the Alaska National Interest Lands Conservation
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Glencore‚ Xstrata and the Restructuring of the Global Copper Mining Industry in 2012 Diana Alvarez Valencia (1310200) University Canada West Dr. Paul Rome MGMT 661 Strategic Management Tuesday‚ May 12‚ 2015 Introduction and Problem Identification In this case study we will identify the problems that can be issued in the process of the merger between two of the largest commodities traders in the world‚ Glencore and Xstrata. It will provide the background of both companies‚ the situation analysis
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TO: ABC Mining Company FROM: T DATE: April 14‚ 2012 RE: Tax consequences and other risk factors associated with mining operations I. FACTS ABC Mining Company‚ Inc. is a publically traded‚ large domestic mining company with over 500 plants in the United States. ABC owns a tract of land in California upon which it has conducted a strip mining operation for coal. An unrelated party owns a tract of land adjacent to the tract of land in California‚ which is owned by ABC. This land is worth
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Abstract Data mining is one of the most important tools for analyzing information from large databases. The retail industry has recently seen the growing number of data mining applications in reducing time and cost for the industry. The paper defines data mining and the seven operations of data mining that have been classified through many different literatures. It then focus on the important applications of data mining in retail industry including marketing‚ customer relationship management‚ risk
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Using Web Mining Preeti Sharma & Sanjay Kumar NIT Raipur‚ Raipur‚ Chattishgarh‚ India E-mail: preeti.nitu@gmail.com & Skumar.IT@nitrr.ac.in Abstract - Customer satisfaction is the key secret of success for all industries regardless of whether it is web enabled or not. This paper focuses the role of web mining in achieving a viable edge in business. Web mining is becoming the tool for success for those who adopt electronic means of operation for conducting their business. Web mining is the
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