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
Premium Data mining Research Data
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
Premium Decision tree Data mining Tree
1) engineering as a professional : a) Differentiate between Job and Professional Job stands for "just over broke" thus requiring minimal education and one with little to no experience will suffice to get the job done. One can easily be replaced at a job. Profession is a commitment to a higher level of education where on must attend and acquire skilled training. A profession requires critical thinking skills. Profession vs Job * The field in which a person works is referred to as
Premium Ethics Morality Engineering
R and Data Mining: Examples and Case Studies 1 Yanchang Zhao yanchang@rdatamining.com http://www.RDataMining.com April 26‚ 2013 1 ➞2012-2013 Yanchang Zhao. Published by Elsevier in December 2012. All rights reserved. Messages from the Author Case studies: The case studies are not included in this oneline version. They are reserved exclusively for a book version. Latest version: The latest online version is available at http://www.rdatamining.com. See the website also for an R Reference Card
Premium Data mining
Glencore‚ Xstrata and the Restructuring of the Global Copper Mining Industry in 2012 Diana Alvarez Valencia (1310200) University Canada West Dr. Paul Rome MGMT 661 Strategic Management Tuesday‚ May 12‚ 2015 Introduction and Problem Identification In this case study we will identify the problems that can be issued in the process of the merger between two of the largest commodities traders in the world‚ Glencore and Xstrata. It will provide the background of both companies‚ the situation analysis
Premium Mergers and acquisitions Mining Corporation
ABSTRACT This study attempted to estimate the environmental impact of Foreign Direct Investment in the mining sector in Nigeria. It is argued that only those countries that have reached a certain income level can absorb new technologies and benefit from technology diffusion‚ and thus reap the extra advantages that FDI can offer. The mining industry in Nigeria is dominated by oil. Indeed‚ Nigeria is the largest producer of this commodity in Africa and sixth largest producers in the world. This research
Premium Investment Mining Economic growth
Department of Computer Science Database and Data Mining‚ COS 514 Dr. Chi Shen Homework No. 8‚ Chapter 13‚ Aklilu Shiketa Q13. 3 Cosmetic Purchases Consider the following Data on Cosmetics Purchases in Binary Matrix Form a) Select several values in the matrix and explain their meaning. Value Cell Meaning 0 For example‚ Row 1‚ Column2 At transaction #1 bag was not purchased. (shows absence of Bag in the transaction) 1 Row 10‚ column (2 and 3) “If a Bag is purchased‚ a Blush is also purchased
Premium Data mining Cosmetics Logic
Henceforth‚ by applying Data Mining (DM) algorithms for Business Intelligence‚ it is possible to automate the analysis process‚ thus comes the ability to extract patterns and other important information from the data set. Understanding the reason why Data Mining is needed in Business Intelligence and also the process‚ applications and different tasks that Data Mining provides for Business Intelligence purposes is the main subject area in this essay. Data mining process is also commonly referred
Premium Data mining
Use of Data Mining in Fraud Detection Focus on ACL Hofstra University Abstract This paper explore how business data mining software are used in fraud detection. In the paper‚ we discuss the fraud‚ fraud types and cost of fraud. In order to reduce the cost of fraud‚ companies can use data mining to detect the fraud. There are two methods: focus on all transaction data and focus on particular risks. There are several data mining software on the market‚ we introduce seven
Premium Data mining Data analysis Fraud
Electrical Engineering Changing the world TABLE OF CONTENTS I. Development of Railways II. Importance of technology and improvement of life III. Cellphone Telecommunication developments and progress. IV. Through Engineering Customers is created V. Job growth VI. Jobs availability for electrical engineers varies greatly. VII. Conclusion VIII. References Development of Railways Trains have developed in way that they have surpassed the preliminary staged. For example train tours
Premium Electrical engineering Rail transport Electronic engineering