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    data mining

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    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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    Statistics and Data

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    Simply use statistics as a tool. You will be given a data. (Next year you will not be given data‚ you will gather data yoruself). 1. Data: one of the variables is dependent and other dependent. Can be multiple. Then do regression analysis. ANOVA for overall significance and Regression equation. And write based on ANOVA there is a significance or not. 2. Some comments on correlation: volume vs. horse power etc. 3. Hypothesis test of one population. I assume that the mean is etc etc. Small paragraph

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    Data Dictionary

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    DATA DICTIONARY Data Dictionaries‚ a brief explanation Data dictionaries are how we organize all the data that we have into information. We will define what our data means‚ what type of data it is‚ how we can use it‚ and perhaps how it is related to other data. Basically this is a process in transforming the data ‘18’ or ‘TcM’ into age or username‚ because if we are presented with the data ‘18’‚ that can mean a lot of things… it can be an age‚ a prefix or a suffix of a telephone number‚ or basically

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    Data Security

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    Ensuring Data Storage Security in Cloud Computing Cong Wang‚ Qian Wang‚ and Kui Ren Department of ECE Illinois Institute of Technology Email: {cwang‚ qwang‚ kren}@ece.iit.edu Wenjing Lou Department of ECE Worcester Polytechnic Institute Email: wjlou@ece.wpi.edu Abstract—Cloud Computing has been envisioned as the nextgeneration architecture of IT Enterprise. In contrast to traditional solutions‚ where the IT services are under proper physical‚ logical and personnel controls‚ Cloud Computing

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    (Wal-Mart) Global Environments Study Name COURSE Date Professor Wal-Mart Global Environment Wal-Mart continues to grow its empire by reviewing many factors. These factors include price‚ production‚ and composition inputs. Wal-Mart must also analyze if global competition affects Wal-Mart‚ and if the company should continue‚ expand‚ or reduce its current operations to maximize profits. Wal-Mart continues to analyze the effects of government policy‚ social diversity‚ and business ethics. For

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    Wal-Mart Case Study

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    A Wal-Mart Case Study 10th October‚ 2013 Words count: 1643 Introduction The American based company “Wal-Mart” is the world’s biggest retailer in terms of sales. Supply chain management is one of the core focuses of the American giant. Many analysts believe that the most principal reason for Wal-Mart success is that it is considered a “best-in-class” company for its supply chain management practices (Alyea‚ Jimmy‚ 2012). Sam

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    Wall-Mart Goes South

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    Wal-Mart Goes South Name Course Prof Date “Save money. Live better” is the slogan of the 1962 founded American multinational retailer corporation that runs chains of large discount department stores and warehouse stores around the world. Wal-Mart today is the world’s 18th largest public corporation according to Forbes Global 2011 list. In 1991 Wal-Mart opened its first stores in Mexico and the competition between the store and local supermarkets began. Wal-Mart being so large and worldwide

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    DATA ORGANIZATION

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    DATA ORGANIZATION‚ PRESENTATION AND ANALYSIS Research Methods 1 Data Organization and Presentation To make interpretation and analysis of gathered data easier‚ data should be organized and presented properly. The usual methods used by researchers are textual‚ tables‚ graphs and charts. 1.1 Textual Data can be presented in the form of texts‚ phrases or paragraphs. It involves enumerating important characteristics‚ emphasizing significant figures and identifying important features of

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    Data Mining

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    Chapter 1 Exercises 1. What is data mining? In your answer‚ address the following: Data mining refers to the process or method that extracts or \mines" interesting knowledge or patterns from large amounts of data. (a) Is it another hype? Data mining is not another hype. Instead‚ the 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. Thus‚ data mining can be viewed as the result of

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    Data Description

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    Chapter 3 Data Description 3-1 Measures of Central Tendency ( page 3-3) Measures found using data values from the entire population are called: parameter Measures found using data values from samples are called: statistic A parameter is a characteristic or measure obtained using data values from a specific population. A statistic is a characteristic or measure obtained using data values from a specific sample. The Measures of Central Tendency are: • The Mean • The

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