The Keystone XL Pipeline: Environmental Impact Abstract. The topic of global oil production is becoming a well-recognized political issue‚ as it should‚ but the environmental impacts need to be addressed as well. The recent development project of the Canadian oil sands has been put into the spotlight after the TransCanada Company applied for a permit allowing their Keystone XL pipeline. Introduction. The Keystone XL pipeline is a project of oil companies invested in tar sands oil‚ which
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Web Mining Data mining is the nontrivial process of identifying valid novel‚ potentially useful‚ and ultimately understandable patterns in data – Fayyad. The most commonly used techniques in data mining is artificial neural networks‚ decision trees‚ genetic algorithm‚ nearest_neighbour method‚ and rule induction. Data mining research has drawn on a number of other fields such as inductive learning‚ machine learning and statistics etc. Machine learning – is the automation of a learning process
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WEB MINING: AN INTRODUCTORY APPROACH Lavalee Singh1 Arun Singh2 1 M.Tech (C.S.) Student IIMT Engineering College Meerut (U.P.) India lovely_198631@rediffmail.com 2Associate Professor IIMT Engineering College Meerut (U.P.) India
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wine quality data set that is the white vinho verde wine samples from the north of Portugalthe from UC Irvine Machine Learning Repository. This white wine data set includes 4898 observations and 12 variables‚ among which quality is the dependent variable‚ and other 11 attributes- fixed acidity‚ volatile acidity‚ citric acid‚ residual sugar‚ chlorides‚ free sulfur dioxide‚ total sulfur dioxide‚ density‚ pH‚ sulphates‚ and alcohol-are independent variables. Technical summary 1. Data pre-process The
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United Cereal Case Study I. Key Problem United Cereal is a diversified company established in 1910 by Jed Thomas. The company produces snack foods‚ dairy products‚ beverages‚ frozen foods‚ baked goods‚ and cereals. The cereal industry generates one third of United Cereals revenue. United Cereal focuses on “commitment‚ diligence‚ and loyalty” which attracted many people to work for the company. Jed expected his Managers to adhere to a strong set of values and wanted committed Managers that
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Ready To Eat Breakfast Cereal Industry Monday‚ September 09‚ 2013 3:09 PM The Big 3 and the industry before the 1990’s 1972 Federal trade Commission file a major antitrust suit against the big 3 (Kellogg‚ General Mills‚ and General Foods) Argued: Monopolized cereal market and had taken specific steps to deter entry by new firms How? Restrained competition amongst themselves through "unwritten agreements" to limit the in-pack premiums (free toys‚ gifts‚ e tc) -Refrain from trade
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In today’s era‚ people want to be more successful than others. It is only possible if they are healthy and it depends upon healthy lifestyle. If they eat good food then they became physically fit. Kellogg’s cereal advertisement in the” kpu course Moodle page” demonstrates that it is food which help the individuals to reach their goals and pursue their career. This advertisement is advertisement by Kellogg’s Canada Inc. for those people who wants to make their future bright because according to advertisement
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Questions For Case Study 1.4 Cereal Partners Worldwide Brendan McHugh 1. How can general mills and Nestle create international competitiveness by joining forces in CPW? General Mills and Nestle can create international competitiveness by joining forces in CPW because quite simply they each have unique attributes about themselves. Nestle is the worlds largest food company‚ is already established as a strong worldwide organization and specializes in downstream competences. On the other hand General
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Keystone XL Pipeline: A Risky Venture Introduction to Transportation Management‚ TLMT 311 Table of Contents Introduction 3 Overview of Issue 3-6 Supporters of Keystone XL Pipeline 6-7 Discussion of Opposition to Keystone XL Pipeline 7-8 Conclusion 9 References 10 Throughout history‚ The United States has been much reliant upon oil rich countries for liquid
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underlying attribute values of objects subjected to clustering analysis. In doing so‚ the privacy of individuals’ data would be protected. In this age of data mining‚ we felt that working on data privacy was of paramount importance. We worked in a group of 3 on this and my role specifically was to design and implement the ‘K-means’ algorithm that clusters the data and forms the basis for the data transformation. In addition to my thesis‚ I worked on a solo project which involved developing an inventory
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