Introduction to Data Mining Assignment 1 Ex1.1 what is data mining? (a) Is it another hype? Data mining is Knowledge extraction from data this need for data mining has arisen due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. So‚ data mining definitely is not another hype it can be viewed as the result of the natural evolution of information technology. (b) Is it a simple transformation of technology developed
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Section:04 Spring2010‚ Email ID:0630059 I have asked 20 people who live in Mirpur about their choice of soft drink they used to buy. Their answer s(my data set) are given below. Dataset 01: mojo mojo mojo mojo rc coke rc rc sprite coke mojo rc rc lemu lemu sprite lemu mojo sprite 7up ice Qualitative data analysis: from this data set we get to know the name and the number of the brands they choose and 2o people’s frequency of choosing among these brands. class Frequency
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SIMPLE VERSUS MULTIPLE REGRESSION The difference between simple and multiple regression is similar to the difference between one way and factorial ANOVA. Like one-way ANOVA‚ simple regression analysis involves a single independent‚ or predictor variable and a single dependent‚ or outcome variable. This is the same number of variables used in a simple correlation analysis. The difference between a Pearson correlation coefficient and a simple regression analysis is that whereas the correlation does
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Table of Content Page No. Executive Summary 1 Introduction & Definition 2 Global Business and Marketing Strategies 2.1 2 2-4 SWOT Analysis 3 Meeting the Market Requirements 3.1 Product 3.2 Distriburion 3.3 Price 3.4 Promotion 4 Nature of Strategy and Analysis 4.1 Pricing Strategy 4.2 Penetration Strategy 5 Marketing Decisions 5.1 Demographic Forces 5.2 Societal Forces 5.3 Political Forces 5.4 Economic Forces 5.5
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IT433 Data Warehousing and Data Mining — Data Preprocessing — 1 Data Preprocessing • Why preprocess the data? • Descriptive data summarization • Data cleaning • Data integration and transformation • Data reduction • Discretization and concept hierarchy generation • Summary 2 Why Data Preprocessing? • Data in the real world is dirty – incomplete: lacking attribute values‚ lacking certain attributes of interest‚ or containing only aggregate data • e.g.‚ occupation=“ ”
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that protects the 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
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Kudler’s Data Table Analysis ACC/542 September 27‚ 2010 Abstract Kudler Fine Foods is a fast growing company established in 1998 and their Initial store selected Microsoft Access as the database to track inventory‚ sales‚ orders‚ employees‚ and customers. Kudler’s products are perishable and inventory must be properly tracked. This paper will evaluate database tables from accounting perspective‚ and provide recommendations for improvement. Pivot Table and Entity Relationship
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Personal Profile Data Analysis Part One The subject of this report and five other persons with whom the subject worked provided survey forms. Data Analysis started using data obtained from the subject and then progressed to the data collected from the outside participants. This report also contains an analysis of the subject’s strengths‚ weaknesses‚ opportunities‚ and threats. This paper concludes with personal reflections from the subject and a growth plan to improve the behavioral effectiveness
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any business to survive if there were no demand for their product. Therefore‚ one of the most important attributes of managerial economics is demand estimation. Demand estimation is an important tool because it helps the managers to estimate demand using a scientific method known as Econometrics. It is essential for a manager to be able to determine the appropriate variables of demand function‚ according to the textbook‚ Managerial Economics Applications: Strategies and Tactics‚ by James McGuigan‚
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are dramatically over paid. Some of these athletes don’t think they are making enough money to survive on‚ which is ridiculous‚ due to the amount of money average Americans are able to live on. According to Eric Stephen of Associate Press‚ the 2012 MLB minimum salary has increased from $414‚000 2011‚ to $480‚000 in 2012 (par 3.) This is 10 times the amount of money the average American makes a year. According to My Budget 360 the average middle class working American makes $46‚326 a year (“How Much
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