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    Data Mining

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    Data Mining DeMarcus Montgomery Dr. Janet Durgin CIS 500 June 9‚ 2013 Determine the benefits of data mining to the businesses when employing 1. Predictive analytics to understand the behavior of customers Predictive analytics is business intelligence technology that produces a predictive score for each customer or other organizational element. Assigning these predictive scores is the job of a predictive model‚ which has‚ in turn been trained over your data‚ learning from the experience

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    Data Collection

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    Data Collection QNT/351 July 10‚ 2014 There are many times when companies have to collect data to come to a conclusion about an issue. The data may be collected from their employers‚ their competition or their consumers. BIMS saw that there had been an average turnover that was larger then what the company had seen in the past. Human Resources decided that they would conduct a survey to see what had changed in the company from the employee’s point of view. They attached

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    Free fall and the acceleration due to gravity Problem/Question: How do you measure the acceleration of a falling object? Hypothesis: by measuring velocities of a falling ball then applying the data into equations numerous times‚ the results should approach to the acceleration. Variables: A: Independent Velocity B:Dependant Acceleration C:Constant Distance (photo gates) Materials: Photo gates‚ Clay ball‚ Photo gates machine.

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    Data

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    Adjustment of Emotional Score of English Boys and Hindi Girls 1 – Boys‚ 2 - Girls and 1 - English and 2 – Hindi Group Statistics | | Gender | N | Mean | Std. Deviation | Std. Error Mean | Emotional Score | Boys | 175 | 10.9829 | 3.97329 | .30035 | | Girls | 120 | 13.9750 | 5.18152 | .47301 | Independent Samples Test | | Levene’s Test for Equality of Variances | t-test for Equality of Means | | F | Sig. | t | df | Sig. (2-tailed) | Mean Difference | Std. Error Difference | 95% Confidence

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    Big Data

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    number of articles on “big data”. Examine the subject and discuss how it is relevant to companies like Tesco. Introduction to Big Data In 2012‚ the concept of ‘Big Data’ became widely debated issue as we now live in the information and Internet based era where everyday up to 2.5 Exabyte (=1 billion GB) of data were created‚ and the number is doubling every 40 months (Brynjolfsson & McAfee‚ 2012). According to a recent research from IBM (2012)‚ 90 percent of the data in the world has been

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    Data Preprocessing

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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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    Data Migration

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    Department of Education Office of Federal Student Aid Data Migration Roadmap: A Best Practice Summary Version 1.0 Final Draft April 2007 Data Migration Roadmap Table of Contents Table of Contents Executive Summary ................................................................................................................ 1 1.0 Introduction ......................................................................................................................... 3 1.1 1.2 1.3 1.4 Background

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    data

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    of the poem. The used ryhms A rhyme is a repetition of similar sounds in two or more words‚ most often at the end of lines. There was a handful of allitrition in the poem Alliteration is the repetition of the same sound or letter at the beginning of each or most of the words in a sentence. The easiest way to use alliteration would be to repeat the starting letter of the words. To understand this poem‚ you must first know that a wood spurge is a wild‚ green‚ perennial plant that grows in moist soil

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    Data Communications

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    Encoding methods and Modulation schemes 25.P.1 Computers use digital signalling‚ digitals signals are represented by the base 2 numbering system “Binary”. Binary bits are shown as 1 or 0‚ where 1 means ON and 0 means OFF. In a network where digital devices exist‚ digital signalling will be used. Dependant upon the encoding method used‚ a high voltage on a communications medium can represent a logical 1 and a low voltage of can represent a logical 0. Different methods of encoding exist these

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    Indian Rupee Free Fall

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    Six reasons why India’s rupee is in freefall Since July last year‚ the Indian rupee has fallen by more than 27% against the US dollar‚ one of the biggest declines among Asian currencies. Here are six main reasons for the steady slump in the value of India’s currency: UGE TRADE DEFICIT Continue reading the main story US Dollar v Indian Rupee Last Updated at 19 Jul 2013‚ 22:06 GMT $1 buys | change | % | 59.3950 | 0.00 | 0.00 | Since India imports more goods (in value terms) than it

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