OBJECTIVE TYPE QUESTIONS Each question carries 2 marks. Choose the correct or best alternative in the following: Q.1 In the relational modes‚ cardinality is termed as: (A) Number of tuples. (B) Number of attributes. (C) Number of tables. (D) Number of constraints. Ans: A Q.2 Relational calculus is a (A) Procedural language. (C) Data definition language. Ans: B Q.3 The view of total database content is (A) Conceptual view. (C) External view. Ans: A Q.4 Cartesian product in relational algebra is (A) a
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Value Investing: Predicting Long-term Profitability Based on Fundamental Data An Empirical Study in the Manufacturing Industry by Vital Schwander (05-609-136) Master’s Thesis supervised by Prof. Dr. Andreas Grüner University of St.Gallen May 23‚ 2011 Master in Law & Economics Abstract Warren Buffett (1992) classifies the discussion about value and growth stocks as fuzzy thinking. With that statement‚ he argues that value investors must consider growth in their value calculations
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How to Build Self Confidence Recognize your insecurities. What does that voice in the back of your mind say? What makes you uncomfortable or ashamed of yourself? This could be anything from acne‚ to regrets‚ friends at school or a past traumatic or negative experience. Whatever is making you feel unworthy‚ ashamed‚ or inferior‚ identify it‚ give it a name‚ and write it down. You can also tear these written pieces to start feeling positive on those points. Bounce back from your mistakes. Remember
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course of a day. 12.2 The tradeoff is between efficiency and resilience. 12.3 A static routing strategy does not adapt to changing conditions on the network but uses a fixed strategy developed ahead of time. With alternate routing‚ there are a number of alternate routes between source and destination and a dynamic choice of routes is made. 12.4 Correctness‚ simplicity‚ robustness‚ stability‚ fairness‚ optimality‚ and efficiency. 12.5 For fixed routing‚ a single‚ permanent route is configured
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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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Usefulness of Labelling C&D Labelling theory and its theorists focus on the groups and/or individuals who were deemed to be criminal and labelled thus by society. Labelling theorists studied the various interactions between the ‘criminal’ groups and individuals and the conformist society. Labelling theory was quite popular in the 1960s and early 1970s‚ but then fell into decline—partly as a result of the mixed results of empirical research. This essay will go on to show the origins of labelling
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_____________________ Introduction The fit of a linear function to a set of data can be assessed by analyzing__________________. A residual is the vertical distance between an observed data value and an estimated data value on a line of best fit. Representing residuals on a___________________________ provides a visual representation of the residuals for a set of data. A residual plot contains the points: (x‚ residual for x). A random residual plot‚ with both positive and negative
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Dividend policy of Confidence Cement Limited Report On Dividend Policy of Confidence Cement Limited Submitted to: Dr. Mahmood Osman Imam Chairman Department of Finance University of Dhaka
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Introduction The debate concerning the usefulness of budgets continues to rage on. Many consider them fundamental to an organisations success‚ while others feel that they are obstructive in an organisations quest to optimise their success and they should therefore be abolished. This report is concerned with the advantages and disadvantages of budgeting and whether not it is still relevant in today’s environment. It will also look at the alternatives to budgeting such as “better budgeting” which
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An Oracle White Paper July 2010 Data Masking Best Practices Oracle White Paper—Data Masking Best Practices Executive Overview ........................................................................... 1 Introduction ....................................................................................... 1 The Challenges of Masking Data ....................................................... 2 Implementing Data Masking .............................................................. 2
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