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    continue to manage absence effectively‚ focusing on employee well-being. How I analysed and interpreted data The attached graph has been taken from a Hotel’s absence/sickness levels. I have looked at each department’s sickness records and figures from the last financial year 2012. After analysing the organisations sickness over the last 12 months and having taken figures from monthly HR records‚ I have interpreted the data and devised a graph. Each line on the graph shows the amount of days off

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    Data Communications

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    Encoding methods and Modulation schemes 25.P.1 Computers use digital signalling‚ digitals signals are represented by the base 2 numbering system “Binary”. Binary bits are shown as 1 or 0‚ where 1 means ON and 0 means OFF. In a network where digital devices exist‚ digital signalling will be used. Dependant upon the encoding method used‚ a high voltage on a communications medium can represent a logical 1 and a low voltage of can represent a logical 0. Different methods of encoding exist these

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    Data Mining

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    and attackers. Using steganography‚ information can be hidden in different embedding mediums‚ known as carriers. These carriers can be images‚ audio files‚ video files‚ and text files. The focus in this paper is on the use of an image file as a carrier‚ and hence‚ the taxonomy of current steganographic techniques for image files has been presented. These techniques are analyzed and discussed not only in terms of their ability to hide information in image files but also according to how much information

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    Abap Data Dictionary

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    trademarks of Microsoft Corporation. IBM ‚ DB2 ‚ OS/2 ‚ DB2/6000 ‚ Parallel Sysplex ‚ MVS/ESA ‚ RS/6000 ‚ AIX ‚ S/390 ‚ ® ® ® AS/400 ‚ OS/390 ‚ and OS/400 are registered trademarks of IBM Corporation. ORACLE is a registered trademark of ORACLE Corporation. INFORMIX -OnLine for SAP and Informix Dynamic Server Informix Software Incorporated. ® ® ® ® ® ® TM ® ® ® ® ® ® ® ® ® ® ® ® ® ® ® ® ® are registered trademarks of UNIX ‚ X/Open ‚ OSF/1 ‚ and Motif are registered trademarks of the Open Group

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    Big Data

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    Trang Vuong Big Data and Its Potentials Data exists everywhere nowadays. It flows to every area of the economy and plays an important role in the decision-making process. Indeed‚ “businesses‚ industries‚ governments‚ universities‚ scientists‚ consumers‚ and nonprofits are generating data at unprecedented levels and at an incredible pace” to ensure the accuracy and reliability of their data-driven decisions (Gordon-Murnane 30). Especially when technology and economy are growing at an unbelievable

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    Data Representation

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    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 your Frequency

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    Data Comm

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    DATA COMMUNICATION (Basics of data communication‚ OSI layers.) K.K.DHUPAR SDE (NP-II) ALTTC ALTTC/NP/KKD/Data Communication 1 Data Communications History • 1838: Samuel Morse & Alfred Veil Invent Morse Code Telegraph System • 1876: Alexander Graham Bell invented Telephone • 1910:Howard Krum developed Start/Stop Synchronisation ALTTC/NP/KKD/Data Communication 2 History of Computing • 1930: Development of ASCII Transmission Code • 1945: Allied Governments develop the First Large Computer

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    Data Comm

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    Server Lab 1 Questions 1. List some of the uses (roles) of a member server. File server‚ application server‚ and web server. They can manage emails‚ provide web services‚ provide file storage‚ etc. 2. Discuss some differences between workstation software and server software. Workstations are generally used by a single person whereas servers provide services over a network to multiple computers. Workstation are typically used for CPU tasks and simulation projects‚ unlike servers

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    Primary Data

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    project. In primary data collection‚ we collect the data ourselves by using methods such as interviews and questionnaires. The key point here is that the data we collect is unique to us and our research and‚ until we publish‚ no one else has access to it. There are many methods of collecting primary data and the main methods include: • QUESTIONNAIRES • INTERVIEWS • FOCUS GROUP INTERVIEWS • SURVYES • OBSERVATION • DIARIES • ANALYSING THE DATA The primary data‚ which is generated by

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    DATA COLLECTION

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    DATA COLLECTION Business Statistics Math 122a DLSU-D Source: Elementary Statistics (Reyes‚ Saren) Methods of Data Collection 1. 2. 3. 4. 5. DIRECT or INTERVIEW METHOD INDIRECT or QUESTIONNAIRE METHOD REGISTRATION METHOD OBSERVATION METHOD EXPERIMENT METHOD DIRECT or INTERVIEW Use at least two (2) persons – an INTERVIEWER & an INTERVIEWEE/S – exchanging information.  Gives us precise & consistent information because clarifications can be made.  Questions not fully understood by the respondent

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