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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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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.......................................................................................... 3 2.1.2 Non-functional requirement ............................................................................................. 5 3. Logical design: Data Modeling (ERD) .................................................................................... 6 4. Logical design: Process Modeling (DFD) ............................................................................... 9 5. Decision
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HABIB BANK LIMITED PAKISTAN Introduction Habib Bank Limited (commonly referred to as "HBL") (Arabic: حَبيب بينك) is the largest bank in Pakistan and a thoroughly established banking chain throughout the world. An extensive network of 1425 branches in Pakistan and 55 international branches makes it one of the largest banks in Pakistan today. Habib Bank Plaza located in Karachi‚ Sindh is the formal headquarters of the bank. The bank has a network outside Pakistan including USA‚ UK‚ Middle East
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Subnetting __________. b. is also called subnet addressing 2. A virtual LAN (VLAN) allows devices to be grouped __________. a. logically 3. Convergence combines voice‚ data‚ and video traffic __________. a. over a single IP network 4. Each of the following is a convergence security vulnerability except __________. a. convergence resource attacks (CRA) 5. Which of the following is not true regarding a demilitarized zone (DMZ)? a. It contains servers that are only used by
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Telecommunications Data Issues Telecommunications have played a big role in today’s generation. Without it‚ it may be impossible for us live in a technologically-advanced world. In full gratitude to the first inventors‚ we are now able to communicate to other people to the other part of the world‚ transact a business with business partners from other nations without going out of the country. Country to country negotiation has become easier and data can be accessible anywhere. Telecommunications data has been
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The scenario is the number of Wal-Mart stores for each year from 2003 - 2010. The data is (2003‚ 4906)‚ (2004‚ 5289)‚ (2005‚ 6141)‚ (2006‚ 6779)‚ (2007‚ 7262)‚ (2008‚ 7720)‚ (2009‚ 8416)‚ (2010‚ 8970). Each of these graphs is plotted with these points. With this plot I need to formulate a curve of best fit using the correlation coefficient. This graph is about the number of Walmart employees. The X-axis is the Time ( years after 2002). The Y-axis is the number of Walmart employees (in thousands)
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WEEK-3 Data Abstraction Destructors • Destructors are functions without any type • The name of a destructor is the character ’~’ followed by class name – For example: ~clockType(); • A class can have only one destructor – The destructor has no parameters • Destructor automatically executes when the class object goes out of scope C++ Programming: Program Design Including Data Structures‚ Sixth Edition 2 Data Abstract‚ Classes‚ and Abstract Data Types • Abstraction – i
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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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HATCO Data Set Description The HATCO data set gives data from a survey of customers of the HATCO company. The data set consists of 100 observations on 14 separate variables. Three types of information were collected. The first type of information is the perception of HATCO on seven attributes identified in past studies as the most influential in the choice of suppliers. The respondents‚ purchasing managers of firms buying from HATCO‚ rated HATCO on each attribute. Each of these 7 variables
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