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    parents placed emphasis on in selecting preschools and whether the parents differ significantly from each other based on the given preference attributes. The author used conjoint analysis technique to identify the five important attributes and to segment the parents into clusters. A focus group discussion (FCD) was also initially conducted to shortlist the important preschool attributes. Further‚ personal interviews and survey questions were utilized in identifying the significant preference models

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    Data Communications

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    and cross talk on a cabling medium are factors that prevent the accuracy of transmitted data to be intact. For these reasons different encoding methods exist. An example is when 2 wires are used to transmit music data to a speaker Digital signals don’t always have to be carried over to the receiving end by electricity‚ light can also be used for digital communication. Fibre Optics use light to transmit data through optical fibre within the cable. The strength of the light ray can also be a determining

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    Understand Your Fats and Fibers Name here teacher SCI/241 Date here Understand Your Fats and Fibers According to “Face the Fats” (2013)‚ the unhealthy fats are‚ saturated and trans fats‚ tend to be more solid at room temperature (like a stick of butter). The healthy fats are monounsaturated and polyunsaturated fats and they tend to be more liquid (like liquid vegetable oil). Saturated fat is found mostly in foods from animals and some plants. Polyunsaturated and monounsaturated fats are

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    spreading of a light pulse as it travels down a fiber when light pulses launched close together(high data rates) spread too much and result in errors and a loss of information. The spectral width determines the number of different wavelengths that are emitted from LED or laser. One way to reduce chromatic dispersion is to narrow the spectral width of the transmitter. Chromatic dispersion can be compensated for with the use of dispersion-shifted fiber (DSF). Laser has a more narrow spectral width

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    insight into the usage of data warehousing and data mining techniques to enhance the productivity of the business. The study of the processes is analysed so as to get the need of adaptation according to inherent demands of these industries in near future. The main topics we are discussing here are:   a) Data warehousing   b) Data Mining   c) ETL   d) Data Mart An attempt has been made to analyse different ways of using these for the enhancement in the different field. Data warehousing and current

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    Secondary Data

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    Q) What are Secondary Data? Secondary Data Secondary data is information gathered for purposes other than the completion of a research project. Data previously collected by someone else‚ possibly for some other purpose that can be used later for making decisions if found suitable for the purpose‚ other than the original one. Secondary data can be acquired from the internal records of the organization‚ their departments‚ subsidiaries or sister organizations and also from external sources‚ such

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    addresses the marketing concept of targeting highlighted in the ever-changing technological area of the macro-environment. In this article the marketing concept of targeting a segment is present. This major marketing concept involves dividing the marketing mix into segments. These distinct sub groups (target segments) comprise of buyers that react differently to various marketing techniques (Sharp‚ 2013‚ p.221). This particular marketing concept acknowledges that the needs and desires of consumers

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    Apple Corporation

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    as a priority. In an Era when most technology outfits have tightened their belts to adapt to a slower- growing market‚ only one company stands out for forging ahead with innovation and that is Apple. In Business environments of today the four functions of management must work in harmony for business to have a better chance of succeeding. A vital part in allowing the four functions of management to work is through delegation. Globalization and technology is at the forefront of Apple’s organization.

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    Data Mining

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    Data Mining Information Systems for Decision Making 10 December 2013 Abstract Data mining the next big thing in technology‚ if used properly it can give businesses the advance knowledge of when they are going to lose customers or make them happy. There are many benefits of data mining and it can be accomplished in different ways. The problem with data mining is that it is only as reliable as the data going in and the way it is handled. There are also privacy concerns with data mining

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    GOOGLE: Google’s mission is to organize the world‘s information and make it universally accessible and useful. Beginning in 1996‚ Stanford University graduate students Larry Page and Sergey Brin built a search engine called “BackRub” that used links to determine the importance of individual web pages. By 1998 they had formalized their work‚ creating the company you know today as Google. Our philosophy Ten things we know to be true “The perfect search engine‚” says co–founder Larry Page‚

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