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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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    help businesses achieve competitive advantage‚ can the data be used to model underlying business processes‚ and can we gain insights from the data to help improve business processes? These are the goals of Business Intelligence (BI) systems‚ and Data Mining is the set of embeddable (in BI systems) analytic methods that provide the capabilities to explore‚ summarize‚ and model the data. Before applying these methods to data‚ the data has to be typically organized into history repositories‚ known as data

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    Web Structure Mining: A Comparative Analysis of HITS Algorithm Mrs. Charmy Patel#1‚ Mrs. Kinjan Chauhan#2 and Mrs. Priti Patel#3 #Shree Ramkrishna Institute of Computer Education and Applied Sciences‚ M.T.B College Campus‚ Athwalines‚ Surat‚ Gujarat‚ India. 1charmyspatel@gmail.com 2Kinjanchauhan99@gmail.com 3priti_patel22@hotmail.com Abstract: Today the amount of data available online is increasing widely. the World Wide Web has becoming one of the most valuable resources for information

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    Fortune 500 Brazilian mining multinational company‚ experienced a very sustained growth‚ placing itself as the second largest mining company in the world‚ and the largest iron ore producer. Recently‚ the Boston Consulting Group stated that Vale has created more value than any other large firm in the world over the past decade.2 Strong demand for iron ore from China has propelled Vale from a market capitalization of approximately $11B in 2001 to the second largest mining company with a market

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    Business Intelligence with Data Mining Abstract Banking and finance institutions are growing very fast in this globalization era. Mergers‚ acquisitions‚ globalization have made these institutions bigger. No doubt‚ the data also grow real huge and more varied. Big data storage such as data warehouse and data marts are provided to give a solution on big data storage. On the other sides‚ those data are needed to be analyzed. Business intelligence finally comes in as a solution in analyzing

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    at Data Mining in the Pharmaceutical Industry Topics Covered: 1) What is Data Mining and why is it used? 2) How is Data Mining used in the Pharmaceutical Industry? 3) Recent debate in the legality of Data Mining and the Pharmaceutical Industry Pharmaceutical companies are taking advantage of the growing use of technology in the healthcare arena by using data to enhance their marketing efforts and increase the quality of research and development. The process of data mining allows companies

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    INTRODUCTION TO MINING 1.1 MINING’S CONTRIBUTION TO CIVILIZATION Mining may well have been the second of humankind’s earliest endeavors — granted that agriculture was the first. The two industries ranked together as the primary or basic industries of early civilization. Little has changed in the importance of these industries since the beginning of civilization. If we consider fishing and lumbering as part of agriculture and oil and gas production as part of mining‚ then agriculture and mining continue

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    How to “RETAIN” Beauty Advisor’s /Consultants We are in a people oriented business‚ most of the times we notice that our outlets we visit seems to have new Beauty Advisor’s every time. While we recognize the importance of them‚ we also recognize there are several reasons with the highest attritions. Perhaps it is because the market demands are high with a number of organizations‚ attracting young first timers to represent BRAND; furthermore the recruits need not possess a requisite on qualification

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    Information Systems Management Research Project ON Data Warehousing and Data Mining Submitted in Partial fulfilment of requirement of award of MBA degree of GGSIPU‚ New Delhi Submitted By: Swati Singhal (12015603911) Saba Afghan (11415603911) 2011-2013

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    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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