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    Data Protection

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    am going to explain data protection‚ talk about the data protection acts‚ rights and principles. I’m going to talk about a data controller and a data processor and what their responsibilities are. What personal and sensitive data are. What a data receiver is and what his rights are‚ what is involved in direct marketing and I will mention an example of abuse or corruption that occurred in Ireland. Data protection acts Data protection is legal control over and access to use of data stored in computers

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    Data processing

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    2 Areas of data processing 1. Business Data processing (BDP) . Business data processing is characterized by the need to establish‚ retain‚ and process files of data for producing useful information. Generally‚ it involves a large volume of input data‚ limited arithmetical operations‚ and a relatively large volume of output. For example‚ a large retail store must maintain a record for each customer who purchases on account‚ update the balance owned on each account‚ and a periodically present a

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    Data Measurement

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    _____110000_____ m = ____110000000________ mm 3.7 hectometers =____370_____ m =_____37000_______ cm 451‚000‚000 μm = ____.000451_____ m = ____.0000451_______ dam 2) Imagine a field is about 100 meters long. If you run a 5K race how many meters is it? Approximately how many “fields” does this equate to? 50 football fields 3) Measure the following objects. A) Your computer screen (in meters) Length______________ Width ______________ Area _______________ Volume ____________ B) A 100 mL beaker:

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    Data Collection

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    Data collection is any process of preparing and collecting data‚ for example‚ as part of a process improvement or similar project. The purpose of data collection is to obtain information to keep on record‚ to make decisions about important issues‚ or to pass information on to others. Data are primarily collected to provide information regarding a specific topic. Data collection usually takes place early on in an improvement project‚ and is often formalized through a data collection plan which often

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    Data Structures

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    EE2410: Data Structures Cheng-Wen Wu Spring 2000 cww@ee.nthu.edu.tw http://larc.ee.nthu.edu.tw/˜cww/n/241 Class Hours: W5W6R6 (Rm 208‚ EECS Bldg) Requirements The prerequites for the course are EE 2310 & EE 2320‚ i.e.‚ Computer Programming (I) & (II). I assume that you have been familiar with the C programming language. Knowing at least one of C++ and Java is recommended. Course Contents 1. Introduction to algorithms [W.5‚S.2] 2. Recursion [W.7‚S.14] 3. Elementary data structures: stacks‚ queues

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    Data Representation

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    Collecting and Representing Data During the past few lessons you have looked at ways of collecting and representing data. You will now put all of your knowledge together to complete these questions. Question 1: The information shown displays the colour of 30 cars in the school car park. Complete the tally chart below. Car Colour | Tally | Frequency (Total) | Green | | | Grey | | | Yellow | | | Red | | | Black | | | Blue | | | White | | | Question 2: Using

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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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    Enagement Data

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    Thunderbird. Weibo Jan 22 – Feb 22 (Monthly Data) Weibo: Engagement: 20+8/363=7.71% Increased from 345 to 363 Growth Rate of Followers: 345-363/345 = 5.21% Weibo Feb 23 – Mar 23 (Monthly Data) Engagement: 20+9/375=7.73% Growth Rate of Followers: 363-375/363 = 3.34% Renren.com Jan 22 – Feb 22 (Monthly Data) Engagement: 4/40 = 10% Increased 4 followers from 36 Growth Rate of Followers: = 36-40/40=10% Renren.com Feb 23 – Mar 23 (Monthly Data) Engagement: 3/47 = 6.4% Increased

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    Data comm

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    nodes which creates a dedicated channel with full bandwidth available for communication. b. Packet Switching – Groupings of transmitted data are converted into smaller packets that are sent over a network. The transmission resources are allocated as needed and a connection exists only as long as the transmission is sent. 2. Packetization is the bundling of data being sent into smaller packets in such a way that they can be sent‚ delivered‚ and Looking at the statistics of the two stocks

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    Data Communications

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    What is the relationship between the wavelength and frequency of a sine wave. Define fundamental frequency. What is the relationship between a signal’s spectrum and its bandwidth. What is attenuation? Define channel capacity. What key factors affect channel capacity? Problems: Figure 1 shows the frequency domain function for a single square pulse. The signal pulse could represent a digital 1 in a communications system. Note that an infinite number of higher frequencies of decreasing magnitudes

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