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    Multiple Linear Regression Data Mining for Business Intelligence Shmueli‚ Patel & Bruce © Galit Shmueli and Peter Bruce 2010 Topics Explanatory vs. predictive modeling with regression Example: prices of Toyota Corollas Fitting a predictive model Assessing predictive accuracy Selecting a subset of predictors (variable selection) Explanatory Modeling Goal: Explain relationship between predictors (explanatory variables) and target  Familiar use of regression in data analysis  Multiple linear

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    big data

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    Big Data In It terminology‚ Big Data is looked as a group of data sets‚ which are so sophisticated and large that the data can not be easily taken‚ stored‚ searched‚ shared‚ analyzed or visualized making use of offered tools. In global market segments‚ such “Big Data” generally looks throughout attempts to identify business tendencies from accessible files sets. Other areas‚ exactly where Big Data continually appears include various job areas of research for example the human being genome and also

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    Cultural Changes In our Pacific Society today we have so many reasons to change our cultures according to our daily needs. Even though we can not actually change culture we all know that we try our best to alter it . This piece of information is useless sorry for wasting your time llllllllllllllllllllllllllllllllllllllllllllllllllllllllllll- llllllllllllllllllllllllllllllllllllllllllllllllllllllllllll- lllllllllllllllllllllllllllkujhglkjfrhgaseljkrgwkurgoi2yugw3rjhFKJfasgkjdsgfakjvwhfAJHSGFKArwgoyuqgrkjawgbrljkagWkjargJA-

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    Be Data Literate

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    Be Data Literate – Know What to Know by Peter F. Drucker             Executives have become computer literate. The younger ones‚ especially‚ know more about the way the computer works than they know about the mechanics of the automobile or the telephone. But not many executives are information-literate. They know how to get data. But most still have to learn how to use data.             Few executives yet know how to ask: What information do I need to do my job? When do I need it? In what

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    Data Mining

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    CUSAT Reading Material on Data Mining Anas AP & Alex Titty John • What is Data? Data is a collection of facts and information or unprocessed information. Example: Student names‚ Addresses‚ Phone Numbers etc. • What is a Database? A structured set of data held in a computer which is accessible in various ways. Example: Electronic Address Book‚ Phone Book. • What is a Data Warehouse? The electronic storage of large amount of data by business. Concept originated in 1988

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    Data Analysis

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    Sample Midterm I Econ 3790: Statistics for Business and Economics Instructor: Yogesh Uppal You are allowed to use a standard size (8.5*11) cheat sheet and a simple calculator. Please write all the answers with a BALL-POINT PEN or an INK PEN. If you have any questions during the exam‚ please raise your hand. GOOD LUCK!!! I am sure you guys will do great. Multiple Choice Identify the letter of the choice that best completes the statement or answers the question and write it in the space given

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    Problem Set 1

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    ECN171 Economy of East Asia Problem Set 1 The data for this problem set is posted on SmartSite in the Resources folder. It was downloaded from the Penn World Tables version 7.1‚ which is publicly available at https://pwt.sas.upenn.edu/php_site/pwt_index.php . 1. Graph the GDP [per capita] of the East Asian countries in PS1_data.xls on one graph. Which East Asian country is the largest [richest] in 1960? In 2010? When did the switch occur? 2. Calculate the growth rates (log difference‚ using natural

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    Solving Contagion in Asia

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    SOLVING CONTAGION IN ASIA Prior to the onset of the Asian financial crisis‚ several Asian countries had been trying to attract short-term capital money from abroad to finance their growing domestic credit demand. Asian governments were reluctant to devalue their currencies in the fear that investors would lose confidence in their financial institutions. As a result‚ their financial system was highly vulnerable‚ and there was a massive outflow of short-term capital once speculators attacked.

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    Data Mining

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    Data Mining Melody McIntosh Dr. Janet Durgin Information Systems for Decision Making December 8‚ 2013 Introduction Data mining‚ or knowledge discovery‚ is the computer-assisted process of digging through and analyzing enormous sets of data and then extracting the meaning of the data. Data mining tools predict behaviors and future trends‚ allowing businesses to make proactive‚ knowledge- driven decisions Although data mining is still in its infancy

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    What is Data

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    study: MBA Course Title: Marketing Research Course code: MBA 763 Assignment: Secondary Data Mat Number: 74168 Name: Abiona Timothy Olufemi What is Data Data is a collection of facts‚ such as numbers‚ words‚ measurements‚ observations or even just descriptions of things. 1.Information in raw or unorganized form (such as alphabets‚ numbers‚ or symbols) that refer to‚ or represent‚ conditions‚ ideas‚ or objects. Data is limitless and present everywhere in the universe. See also information and knowledge

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