At almost any given moment during the day‚ you can turn on your television and find a reality TV show on somewhere. Why are reality TV shows so big today? There are a couple of reasons. Reality television is a genre of television programming in which the fortunes of "real life" people (as opposed to actors‚ or fictional characters) are followed. Although there have always been television programs that would satisfy this definition (e.g.Candid Camera‚ The Real World‚ etc)‚ it is within the last two
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The development of mining machinery and technological progress of modern science and technology and is closely related to the overall industrial level‚ in particular‚ mining and mechanical engineering disciplines‚ science and development are closely linked. Present is the era of information age‚ where information technology has four major characteristics‚ namely‚ intelligence‚ electronic‚ global‚ non-group-oriented. Automated underground mining is no face or hazardous mining development‚ but also
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Gold Mining inevitable damage to the environment‚ to induce a variety of negative effects of geological environments. Currently‚ the shortage of resources‚ population growth‚ environmental pollution and other issues facing humanity increasingly prominent‚ visible‚ in-depth study of mining development and its negative effects induced comprehensive treatment is necessary‚ its far-reaching. Gold mining-induced negative effects of geological environment‚ gold mining-induced negative
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Assignment : Data Mining Student : Mohamed Kamara Professor : Dr. Albert Chima Dominic Course : CIS 500- Information Systems for Decision Making Data : 06/11/2014 This report is an analysis of the benefits of data mining to business practices
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Role Mining - Revealing Business Roles for Security Administration using Data Mining Technology Martin Kuhlmann Dalia Shohat SYSTOR Security Solutions GmbH Hermann-Heinrich-Gossen-Strasse 3 D 50858 Cologne [martin.kuhlmann|dalia.shohat] @systorsecurity.com Gerhard Schimpf SMF TEAM IT-Security Consulting Am Waldweg 23 D 75173 Pforzheim Gerhard.Schimpf@smfteam.de ABSTRACT In this paper we describe the work devising a new technique for role-finding to implement Role-Based Security Administration
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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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PROJECT TOPIC : SMALL AND MEDIUM SCALE ENTERPRISES DEVELOPMENT IN NIGERIA (A Case Study of Cassava Processing Industry) PROJECT PROPOSAL BACKGROUND TO THE STUDY Interest in the development of small and medium-sized enterprises (SMEs) and their contribution in the development process continue to be in the forefront of policy debates in developing countries. The advantages claimed for SMEs are various‚ including: the encouragement of entrepreneurship; the greater likelihood that SMEs will utilise
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business focus. Treacy and Wiersema identify three "value-disciplines" that can serve as the basis for strategy: operational excellence‚ customer intimacy‚ and product leadership. As with driving forces‚ only one of these value disciplines can serve as the basis for strategy. Treacy and Wiersema’s three value disciplines are briefly defined below: Operational Excellence: Strategy is predicated on the production and delivery of products and services. The objective is to lead the industry in terms
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Mining Changes for Real-Life Applications Bing Liu‚ Wynne Hsu‚ Heng-Siew Han and Yiyuan Xia School of Computing National University of Singapore 3 Science Drive 2 Singapore 117543 {liub‚ whsu‚ xiayy}@comp.nus.edu.sg Abstract. Much of the data mining research has been focused on devising techniques to build accurate models and to discover rules from databases. Relatively little attention has been paid to mining changes in databases collected over time. For businesses‚ knowing what is changing and
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Bullock Gold Mining The payback period for Bullock Gold Mining in the book does not have a required time period. Usually‚ a company has a pre-specified length of time as a benchmark. The decision rule is to invest in projects that pay sooner or have a shorter payback period. We calculated the payback period to be 3.96 years which is less than half of the expected duration of the project. To determine 3.96 we added the Present Value of the Cash Flows until we matched the initial investment
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