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    Data Sonification

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    participants can listen to shapes. That is‚ they used data sonification – musical representation of two dimensional space‚ with pitch as the vertical dimension and time as the horizontal dimension – to present participants the visual and auditory representation of waveforms. In two conditions‚ they showed the participants could match one visual presentation to one of two auditory representations‚ or match one auditory presentation to one of two visual presentations. Although Turnage et al. (1996)

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    Impact of Competition Policy on Shell 29 Conclusion 31 References 31 Introduction The first section of this assignment presents the different types of business organizations that are present and their purposes. Then‚ by taking Shell company as the organization to discuss the rest of the tasks‚ it is analyzed how Shell meets the objectives of different stakeholders. The third section includes in general about the responsibilities of an organization and more specifically‚ the strategies

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    Data mining

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    it for any other purpose. DATE: 06/10/2013 Introduction: In data mining it is said that “success or failure often depends not only on how well you are able to collect data but also on how well you are able to convert them into knowledge that will help you better manage your business (Wilson‚ 2001‚ p. 26).” Tourism and hospitality industry generates massive amount of data. In each and every transaction there is set of data generated. In tourism and hospitality‚ knowing your customer is very

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    Data Protection

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    Research Project - Data Protection Data can be collected by organisations such as the websites we use daily‚ such as Facebook and Twitter. They have our information such as our age‚ date of birth‚ home address and other personal information which we would not share with strangers‚ and it is their job to protect that data‚ so that it doesn’t get into the wrong hands‚ such as scammers. Organisations may collect information from you in a number of ways‚ over the internet‚ over the phone‚ or also

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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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    Data Warehousing

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    and Kimball’s definition of Data Warehousing. Bill Inmon advocates a top-down development approach that adapts traditional relational database tools to the development needs of an enterprise wide data warehouse. From this enterprise wide data store‚ individual departmental databases are developed to serve most decision support needs. Ralph Kimball‚ on the other hand‚ suggests a bottom-up approach that uses dimensional modeling‚ a data modeling approach unique to data warehousing. Rather than building

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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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    Spatial Data

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    to open a new account with a unique name and pass word. Once account is being created the account name and password will be used to access the service. The user is also authorized to change his/her password at any time. The accounts are divided into two categories- user account and admin account. The admin account allows the admin to get access to the database and make any necessary change or update the database. Once the user gets access to the service‚ the user gives a location name as

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    Data Mining

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    is a necessity for a businesses trying to maximize its profits. A new‚ and important‚ tool in gaining this knowledge is Data Mining. Data Mining is a set of automated procedures used to find previously unknown patterns and relationships in data. These patterns and relationships‚ once extracted‚ can be used to make valid predictions about the behavior of the customer. Data Mining is generally used for four main tasks: (1) to improve the process of making new customers and retaining customers;

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    Wastewater Data

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    Process in Houston CIVT 301 Outline Wastewater collection data in Houston What is sewage treatment? Where does wastewater come from? Factors that affect the flow of pipelines Industrial wastewater? Storm water/ Data The treatment plant operator Sources of wastewater Why treat wastes Waste water treatment facilities Treatment processes Drinking water What can be done to help? Wastewater collection data in Houston 640 square miles area 3 million citizens served 6‚250 miles

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