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    DATA CLUSTERING

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    WORLD DATA CLUSTERING ADEWALE .O . MAKO DATA MINING INTRODUCTION: Data mining is the analysis step of knowledge discovery in databases or a field at the intersection of computer science and statistics. It is also the analysis of large observational datasets to find unsuspected relationships. This definition refers to observational data as opposed to experimental data. Data mining typically deals with data that has already been collected for some purpose or the other than the data mining

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    data gathering

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    Summary of data gathering There are more cars and trucks going through the intersection of Spring Street and Route 27 in the morning than the afternoon. How to determine cars and trucks Cars are usually used for taking passengers to the destination; in general‚ they are smaller than trucks. As for trucks‚ there are larger spaces to carry items‚ for example‚ gasoline‚ foods‚ and other goods. In addition‚ school buses are important transportations on campus‚ but they are counted as neither cars

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    data protection

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    The data protection principles There are eight data protection principles that are central to the Act. The Company and all its employees must comply with these principles at all times in its information-handling practices. In brief‚ the principles say that personal data must be: 1. Processed fairly and lawfully and must not be processed unless certain conditions are met in relation to personal data and additional conditions are met in relation to sensitive personal data. The conditions are

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    Data Transmission

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    Data transmission‚ digital transmission‚ or digital communications is the physical transfer of data (a digital bit stream) over a point-to-point or point-to-multipoint communication channel. Examples of such channels are copper wires‚ optical fibres‚ wireless communication channels‚ and storage media. The data are represented as an electromagnetic signal‚ such as an electrical voltage‚ radiowave‚ microwave‚ or infrared signal. Data representation can be divided into two categories: Digital

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    Comparative Data

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    Associate Level Material Comparative Data Resource: Ch. 14 of Health Care Finance Complete the following table by writing responses to the questions. Cite the sources in the text and list them at the bottom of the table. What criterion must be met for true comparability? | True comparability needs to meet three criteria: consistency‚ verification and unit measurement. (Baker & Baker‚  2012) | What elements of consistency should be considered? Provide an example. | The elements

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    Data Analytics

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    You Can Do With Data/The Information Architecture of an Organization What is the difference between data and information? Give examples. Data = discrete‚ unorganized‚ raw facts Quantity Sold‚ Course Enrollment‚ Customer Name‚ Discount‚ Star Rating. Information = transformation of those facts into meaning. Financial data (deposits)‚ daily loans. What is a transaction? Action performed in a database management system What are the characteristics of an operational data store? Stores

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    Consumer Data

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    Handling Consumer Data Introduction When I visit my local Caltex Woolworths petrol station on “cheap fuel Wednesday” to cash in the 8c per litre credit that my Wife earned the previous Friday buying the groceries with our “Everyday Rewards” card‚ I did not‚ until researching this report‚ have any clue as to the contribution I was making to a database of frightening proportions and possibilities… nor that‚ when I also “decide” to pick up the on-sale‚ strategically-placed 600mL choc-milk‚ I am

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    Data Mining

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    measures widely used to measure complexity in manufacturing systems. With reference to this second framework‚ two indexes were selected (static and dynamic complexity index) and a Business Dynamic model was developed. This model was used with empirical data collected in a job shop manufacturing system in order to test the usefulness and validity of the dynamic complex index. The Business Dynamic model analyzed the trend of the index in function of different inputs in a selected work center. The results

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    Payroll Data

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    into the Workers’ Compensation (WC) actuarial model workbook. Payroll data for the WC model should contain “only the actual hours worked” for specific Rate Schedule Codes (RSC) groups‚ including executives. The WC payroll data should exclude all paid leave types. A comparison of work hours from the NPHRS mainframe report to the summary in EDW reveals very small differences. We hope to align the NPHRS and EDW work hour data. Also‚ we (Technical Analysis‚ Accounting and Finance) need to understand

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    Data Sonification

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    Turnage‚ Bonebright‚ Buhman‚ Flowers (1996) showed that untrained 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

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