Advantages of Windows 7 1. Interface •Windows 7 features a new interface with the Taskbar. The Taskbar has icons rather than labels‚ so you have less clutter on your screen. When you mouse over an icon‚ a thumbnail appears (a process known as Live Preview) so you can get an idea of your open applications before clicking them. You can rearrange icons on the Taskbar by clicking and dragging them. Other enhancements to the interface include Aero Peek‚ which allows you to see through open windows on your
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Why we should use GNU/Linux Distributions There are various reasons why you should drop Windows and Mac OS X‚ but there are also reasons why you should drop Linux and grab a copy of Windows or an overpriced Macintosh computer. Let’s start with why you SHOULDN’T use GNU/Linux *I know this is a persuasive essay‚ but I won’t be too biased. I have to try them out and compare them before judging which is superior to the other* 1. If you like to play a lot of games. Some people pay up to a thousand
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Greedy Based Approach to Test Data Compression using Geometric Shapes ABSTRACT Systems-on-a-chip (SOC) are comprised of a collection of pre-designed and preverified cores and user defined logic (UDL). As the complexity of systems-on-a-chip continues to increase‚ the difficulty and cost of testing such chips is increasing rapidly. One of the challenges in testing SOC is dealing with the large size of test data that must be stored in the tester and transferred between the tester and the chip. The
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Data mining Data mining is simply filtering through large amounts of raw data for useful information that gives businesses a competitive edge. This information is made up of meaningful patterns and trends that are already in the data but were previously unseen. The most popular tool used when mining is artificial intelligence (AI). AI technologies try to work the way the human brain works‚ by making intelligent guesses‚ learning by example‚ and using deductive reasoning. Some of the more popular
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Q) What are Secondary Data? Secondary Data Secondary data is information gathered for purposes other than the completion of a research project. Data previously collected by someone else‚ possibly for some other purpose that can be used later for making decisions if found suitable for the purpose‚ other than the original one. Secondary data can be acquired from the internal records of the organization‚ their departments‚ subsidiaries or sister organizations and also from external sources‚ such
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survey especially through the Internet and questionnaires. The description of source of data and sample The researcher have a survey will be used in this proposed study where in 25 2nd year BSIT Students From Interface Computer College in Davao City‚ Because they have their own knowledge about the effects of Social Networking Sites on their academic performance. Procedure on Data Gathering We gather our data first‚ by conducting a survey. Second‚ we research on the internet. The Instruments The
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Data Mining Assignment 4 Shauna N. Hines Dr. Progress Mtshali Info Syst Decision-Making December 7‚ 2012 Benefits of Data Mining Data mining is defined as “a process that uses statistical‚ mathematical‚ artificial intelligence‚ and machine-learning techniques to extract and identify useful information and subsequent knowledge from large databases‚ including data warehouses” (Turban & Volonino‚ 2011). The information identified using data mining includes patterns indicating trends‚ correlations
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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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P A R T I V QUANTITATIVE MODULES Quantitative Module Decision-Making Tools A Module Outline THE DECISION PROCESS IN OPERATIONS FUNDAMENTALS OF DECISION MAKING DECISION TABLES TYPES OF DECISION-MAKING ENVIRONMENTS Decision Making Under Uncertainty Decision Making Under Risk Decision Making Under Certainty Expected Value of Perfect Information (EVPI) DECISION TREES A More Complex Decision Tree Using Decision Trees in Ethical Decision Making SUMMARY KEY TERMS USING SOFTWARE FOR DECISION
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|Title | | | |ICT Disaster Recovery Plan | | |Date issued | | | |2
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