Title: “Data Mining: The Mushroom Database” Author: Hemendra Pal Singh* In this review “Data Mining: The Mushroom Database” is focuses in the study of database or datasets of a mushroom. The purpose of the research is to broaden the preceding researches by administer new data sets of stylometry‚ keystroke capture‚ and mouse movement data through Weka. Weka stands for Waikato environment for knowledge analysis‚ and it is a popular suite of machine learning software written in Java‚ developed at
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1. Porters 5 forces Analysis: 1.1 Buyer power: The buyers for mining industry usually have medium to high power. There are two elements that could affect the buyer’s power. One is buyer’s level of negotiation; the other is buyer’s price sensitivity. In our case‚ the two companies are producing coal and uranium. These two products are mainly used for producing electricity. Buyers for these natural resources must have large quantity of demand‚ and also they usually have government behind
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MANAGEMENT 8 ANATOMY OF A FAILED KNOWLEDGE MANAGEMENT INITIATIVE: LESSONS FROM PHARMACORP’S EXPERIENCES 8 BENEFITS OF KNOWLEDGE MANAGEMENT 9 DATA MINING 10 FACTORS INFLUENCING THE GROWING INTEREST IN DATA MINING 10 LIMITATIONS OF DATA MINING 11 HOW DATA MINING WORKS 12 DATA MINING TECHNIQUES 13 ADVANTAGES OF DATA MINING 14 DATA MINING ISSUES 14 CONCLUSION 15 REFERENCES 15 SECTION 1 Introduction We are in the information age and as the demand for information and knowledge increases
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International Journal of Computer Applications (0975 – 8887) Volume 41– No.5‚ March 2012 Data Mining Application in Enrollment Management: A Case Study Surjeet Kumar Yadav Saurabh pal Research scholar‚ Shri Venkateshwara University‚ J. P. Nagar‚ (U.P.) India Head‚ Dept. of MCA VBS Purvanchal University‚ Jaunpur‚ India ABSTRACT In the last two decades‚ number of Higher Education Institutions (HEI) grows rapidly in India. This causes a cut throat competition among these institutions
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the business once the company develops connectedness and meaning‚ transforming it into information‚ knowledge‚ and eventually wisdom. As described in the case‚ the following are the benefits derived by the businesses: • Applebee’s utilized data mining technology to analyze both the front-of-house and back-of-house performances. They also used the stored data for effective inventory management (supplies replenishment) and identifying which products to promote. • Travelocity‚ an online travel site
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Report for the Iron Ore Mining Investment in the Democratic Republic of Congo To: The Board of Directors of Rio Tinto From: Senior Analyst Date: 05.05.2010 Content 1. Executive Summary 3 2. Introduction 4 3. Discussion 5 4.1. Economic Risk Assessment 5 4.2. Sources of Financing 8 4.3. Repatriation Issues 11 4.4. Strategies for Expropriation situations 15 4. Conclusion 18 5. Appendices
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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 Luzon‚ Philippines
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EXECUTIVE SUMMARY This study takes an insight into the usage of data warehousing and data mining techniques to enhance the productivity of the business. The study of the processes is analysed so as to get the need of adaptation according to inherent demands of these industries in near future. The main topics we are discussing here are: a) Data warehousing b) Data Mining c) ETL d) Data Mart An attempt has been made to analyse different ways of using these for the enhancement in the
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SMALL-SCALE MINING (Lives at risk in the Philippine Gold Mines) INTRODUCTION Gold is the number one mineral produced by the Philippines in value terms. Although total local production was low relative to world production‚ it ranked 2nd to Africa in gold production per unit land area in 1988 and ranked 29th as top gold producer in 2002(Israel and Asirot 2002). In the year 2002–2007‚ the Philippines’ gold production increased by 8.2%. This contributed an average of 2% gross domestic product (GDP)
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CN Best Price Iron Ore Mining Process Spiral Equipment Detailed Product Description Iron Ore Mining Process Spiral Equipment 1:High efficiency. 2:ISO 9001:2000 3:Mining Equipment Manufacture since 1985 Iron Ore Mining Process Spiral Equipment Among all machines used the mining‚ spiral chute concentrator can be considered as an economical machine used for the beneficiation of metal ores. The history of spiral chute concentrator could
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