Chapter 12 Data Envelopment Analysis Data Envelopment Analysis DEA is an increasingly popular management tool. This write-up is an introduction to Data Envelopment Analysis DEA for people unfamiliar with the technique. For a more in-depth discussion of DEA‚ the interested reader is referred to Seiford and Thrall 1990 or the seminal work by Charnes‚ Cooper‚ and Rhodes 1978 . DEA is commonly used to evaluate the e ciency of a number of producers. A typical statistical approach is characterized
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Explain giving examples how the reliance on journalists working in commercial media constraints the ability of media advocates Explain how an elitist theory of democracy and focus on mainstream journalism constraints the ability of media advocates How would media advocacy look like if informed by a participatory theory of democracy? Explain giving examples Why is democracy a dangerous form of government? Explain. Democracy includes a genuine competition for power. Explain Democracy permits mass participation
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Data Warehousing Failures Eight studies of data warehousing failures are presented. They were written based on interviews with people who were associated with the projects. The extent of the failure varies with the organization‚ but in all cases‚ the project was at least a disappointment. Read the cases and prepare a one or two page discussion of the following: 1. What’s the scope of what can be considered a data warehousing failure? Discuss. 2. What generalizations apply across
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Electronic Data Interchange My goal in writing this paper is to explore more deeply the topic of Electronic Data Interchange‚ which was discussed briefly in our text in Chapter 8. In short‚ EDI is a broad term that can be summed up as the paperless business transactions in a standard format called ANSI X-12. (2) EDI has become an essential piece of the e-commerce puzzle for businesses in the information age. Having a more thorough knowledge of the working of EDI is important for knowledge workers
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What do you think is the importance of Inspector Goole and how does Priestley present him? In JB Priestley’s play ‘An Inspector Calls’‚ Priestley portrays Inspector Goole as a dominant‚ forceful‚ admirable character with strong socialist views‚ just like the views of Priestley. Many say Inspector Goole is a voice of Priestley and others say he is used by Priestley as a vehicle to deliver socialist views‚ he’s the engine of the play‚ keeping things rolling by asking pushy questions. Inspector Goole
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Breaking Down ROE Using the DuPont Formula By Z. Joe Lan‚ CFA Article Highlights • ROE calculates the return a company earns from shareholder’s equity. • The DuPont formula reveals the source of those returns: sales‚ marketing or debt. • Comparing a company’s financial performance to its peers can provide a useful context for analyzing ROE. R etur n on equity (ROE) is a commonly used profitability ratio that measures the effectiveness of management in generating earnings for shareholders
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method of communicating * Common language and grammar * Confirmation or acknowledgement requirements Elements of a Network: * Rules or agreements: protocols or how the message is semt‚ directed‚ received and interpreted. * Massages: units of info that travels * Medium: means of interconnecting these devices‚ can transport the messages * Devices: devices on the network exchange messages Messages- a generic term that encompasses forms of communication enabled by the Internet.
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inherent in data‚ the probability of certain outcomes‚ and the error and uncertainty associated with those outcomes. Some statistics are biased‚ some are based on opinions‚ and some are fabricated. A common misconception is that statistics provide a measure of proof that something is true. Instead‚ statistics provide a measure of the probability of observing a certain result. It is easy to misuse the statistics in data analysis even to the point of misconception because statistics do not introduce
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KNOWLEDGE AND DATA ENGINEERING‚ VOL. 23‚ NO. 1‚ JANUARY 2011 51 Data Leakage Detection Panagiotis Papadimitriou‚ Student Member‚ IEEE‚ and Hector Garcia-Molina‚ Member‚ IEEE Abstract—We study the following problem: A data distributor has given sensitive data to a set of supposedly trusted agents (third parties). Some of the data are leaked and found in an unauthorized place (e.g.‚ on the web or somebody’s laptop). The distributor must assess the likelihood that the leaked data came from
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A Resilient Architecture for Automated Fault Tolerance in Virtualized Data Centers Wai-Leong Yeow‚ C´ dric Westphal‚ e and Ulas C. Kozat ¸ DoCoMo USA Labs‚ 3240 Hillview Ave‚ Palo Alto‚ CA 94304‚ USA e-mail: wlyeow@ieee.org‚ {cwestphal‚kozat}@docomolabs-usa.com Abstract—Virtualization is a key enabler to autonomic management of hosted services in data centers. We show that it can be used to manage reliability of these virtual entities with virtual backups. An architecture is proposed to autonomously
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