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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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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Establishing a Center of Excellence for Data Mining in Egypt By: Aref Rashad I- Introduction The convergence of computer resources connected via a global network has created an information tool of unprecedented power‚ a tool in its infancy. The global network is awash with data‚ uncoordinated‚ unexplored‚ but potentially containing information and knowledge of immense economic and technical significance. It is the role of data mining technologies arising from many discipline areas to convert
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Development of mining in Zambia was on the agenda of the first years of colonization. The British South Africa company in 1889 ceased to “extend the railway and telegraph network in the North to the Zambezi River‚ to promote the migration and colonization and trade and mining concessions” to develop. The Rhodesia iron company was founded in 1902 and began the iron mines of Kafue and Bwana Mkubwa develop. In 1920‚ two other companies that were associated with iron Rhodesia exclusive mineral rights
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Mining law in the Northern Territory is unique. To take into account the variation in land ownership‚ the NT Government has through the Mineral titles Act developed a legal process to ratinalise a wide range of mining tenements by converting these titles so that they can be more actively explored. The Northern Territory Government recognises that the private sector is the most able developer of mineral resources‚ and hence through the Mineral Titles Act allows the private sector and open access
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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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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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