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    Impacts of mining developments in Papau-New Guinea Word Count: 1797 (20% allowance) Table of Contents 1.0 INTRODUCTION 4 2.0 BACKGROUND 5 3.0 MINING VIEW OF PNG 6 4.0 ENVIRONMENTAL DEGRADATION WITH A POLITICAL INSIGHT 7 5.0 SOCIAL IMPACTS AND DISINTEGRATION 8 6.0 CONCLUSION 9 7.0 RECOMMENDATIONS 10 REFERENCES 11 1.0 Introduction Mining is the broadest

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    Harms of Gold Mining

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    20122 March 22‚ 2012 HARMS OF GOLD MINING History of gold is as old as history of humanity. Gold has always been valuable and popular. Since it hardly loses its glitter and it never gets oxidized. However‚ obtaining gold is not an easy process. People have to use cyanide or some other harmful chemicals to acquire gold. Also after this process very harmful toxic wastes are occurred. Thus gold mining has drastic effects on water‚ earth and air. Firstly‚ gold mining can has devastating effect on water

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    Web Data Mining

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    A Recommender System Based On Web Data Mining for Personalized E-learning Jinhua Sun Department of Computer Science and Technology Xiamen University of Technology‚ XMUT Xiamen‚ China jhsun@xmut.edu.cn Yanqi Xie Department of Computer Science and Technology Xiamen University of Technology‚ XMUT Xiamen‚ China yqxie@xmut.edu.cn Abstract—In this paper‚ we introduce a web data mining solution to e-learning system to discover hidden patterns strategies from their learners and web data‚ describe

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    Data Mining Fundamentals

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    Data Mining DM Defined Is the analysis of (often large) observational data sets to find unsuspected relationships and to summarize the data in novel ways that are both understandable and useful to the data owner Process of analyzing data from different perspectives and summarizing it into useful information A class of database applications that look for hidden patterns in a group of data that can be used to predict future behavior. DM Defined The relationships and summaries derived

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    A NEW APPORACH OF FREQUENT PATTERN MINING IN WEB USAGE MINING Mrs.R.Kousalya PhD. Scholar‚ Manonmaniam Sundaranar University‚ HOD/Asst professor‚ Dr. N.G.P. Arts and Science College‚ Coimbatore-641 048‚ India Mob no. +91 9894656526 Kousalyacbe@gmail.com Ms.S.Pradeepa M.Phil.Scholar‚ Department of Computer Science‚ Dr.N.G.P. Arts and Science College‚ Coimbatore-641 048‚ India Mob no. +91 9489551185 Prathy.it@gmail.com Ms.K.Suguna M.Phil.Scholar‚ Department of Computer Science‚ Dr.N.G.P. Arts and

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    which were created to provide transport to people who needed to move to other countries‚ transportation of agricultural‚ mining and farming goods‚ help the countries to “spring up along the way” by promoting the commerce because people could travel all around the continent paying a low cost. Those people from different parts of the continent who visited the West could buy some mining stuff or cattle to the farmers. The other way was when the miners and farmers used the railroad to transport their stuff

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    Data Mining Problems

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    CIS 501: Information Systems for Managers Data Mining Problems Introduction Problem 1: Data-Based Decision Making Problem 2: Market Basket Analysis: Association Analysis Problem 3: Market Basket Analysis: Concept Tree/Sequence Analysis Problem 4: Decision Tree Problem 5: Clustering/Nearest Neighbor Classification Problem 6: Clustering             Problem 1: Data-Based Decision Making Supermarket Product Placement Suppose that we are responsible for managing product placement within a

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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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    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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    Data Mining Report

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    DATA MINING REPORT A Comparison of K-means and DBSCAN Algorithm Data Mining with Iris Data Set Using K-Means Cluster method within Weak Data Mining Toolkit. Team Task ......................................................................................................................................... 3 1.0 Introduction ................................................................................................................................. 3 2.0 Related Works ................

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