to manage. Therefore‚ mining or extracting association rules from large amount of data in the database is interested for many industries which can help in many business decision making processes‚ such as cross-marketing‚ basket data study‚ and promotion assortment. From the beginning‚ Frequent Itemset Mining (FIM) is one of the most well known techniques which is concerned with extracting the information from databases based on regularly
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States to increase the supply of available crude oil by drilling in the Arctic National Wildlife Refuge. The idea of drilling in the Arctic has been controversial and to the present day is still being debated. The United States’ need to determine whether drilling in the Arctic will be a worthwhile consideration‚ or if there are not sufficient benefits to counteract the harmful possibilities drilling possesses. Drilling in the Arctic National Wildlife Refuge provides many immediate economic benefits
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Checkpoint: Network Consultant Scenarios Complete Case Projects 3-1‚ 3-2‚ & 3-3 of Guide to Networking Essentials. After determining if a client-based or client/server model will be used‚ substantively justify your choice in 200 to 300 words. Case Project 3-1 The changes in equipment that are required to bring this company’s network up to date to solve the shared bandwidth problem is replacing the hubs with fast ethernet switches and a router. You could make subnets for each department of
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Nr 128 Studia i Materiały Prace Naukowe Instytutu Górnictwa Politechniki Wrocławskiej Nr 36 Nr 128 2009 belt conveyor‚ failure analysis‚ condition monitoring Radosław ZIMROZ*‚ Robert KRÓL* FAILURE ANALYSIS OF BELT CONVEYOR SYSTEMS FOR CONDITION MONITORING PURPOSES The paper deals with failure analysis for condition monitoring (CM). Before applying CM one shall investigate a key point in monitored machinery‚ what tools and methods need to be applied in order to minimise the cost
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The Arctic Wildlife Refuge‚ in Jimmy Carter’s opion " is one of America’s last truly great wilderness". The former President uses his personal experiances to show why the Arctic Wildlife Refuge should be left be. Also he enacted legislation to help protect the wilderness from further development‚ with bipartisen support. Jimmy Carter want this area to be protected from industry destroying the natural beuaty‚ along with keeping around for future gernations to enjoy. While the president was
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I am very interested in the Strategic Healthcare Consultant position at COPE Health Solutions as advertised through USC Dornsife Career Opportunities Newsletter. I am a graduate from USC with a major in Sociology and a minor in Health Care Studies and I am very excited about this opportunity to put my communication skills‚ management experience‚ and public relations skills to assist in the management of consulting projects and implementation of innovative care models to help current and prospective
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Data Mining Information Systems for Decision Making 10 December 2013 Abstract Data mining the next big thing in technology‚ if used properly it can give businesses the advance knowledge of when they are going to lose customers or make them happy. There are many benefits of data mining and it can be accomplished in different ways. The problem with data mining is that it is only as reliable as the data going in and the way it is handled. There are also privacy concerns with data mining
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What is the role of an OD consultant as a change leader? What are the core competencies of an OD professional? A change leader is the person who is designated to oversee change within an organization (Brown‚ 2011). The change leader is usually an external or internal practitioner. The external practitioner is brought from outside the organization as consultant who is an OD specialist. An internal practitioner is an individual selected from within the organization. It is dependent upon the organization
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Chapter 1 Exercises 1. What is data mining? In your answer‚ address the following: Data mining refers to the process or method that extracts or \mines" interesting knowledge or patterns from large amounts of data. (a) Is it another hype? Data mining is not another hype. Instead‚ the need for data mining has arisen due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. Thus‚ data mining can be viewed as the result of the
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Data Mining: What is Data Mining? Overview Generally‚ data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue‚ cuts costs‚ or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles‚ categorize it‚ and summarize the relationships identified
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